default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, November 2024
- Ziheng Guo, Igor Cialenco, Ming Zhong:
Noise Guided Structural Learning from Observing Stochastic Dynamics. - Seong-Hyun Hong, Hyun-Sung Kim, Zian Jang, Byung-Jun Lee:
IC/DC: Surpassing Heuristic Solvers in Combinatorial Optimization with Diffusion Models. - Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li:
Mastering the Craft of Data Synthesis for CodeLLMs. - Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma:
Personality-Guided Code Generation Using Large Language Models. - Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann:
LARS: Light Augmented Reality System for Swarm. - Sota Takagi, Miki Saijo, Takumi Ohashi:
Consumer Segmentation and Participation Drivers in Community-Supported Agriculture: A Choice Experiment and PLS-SEM Approach. - J. M. Conejero, J. C. Preciado, A. E. Prieto, María C. Bas, Vicente J. Bolós:
Applying Data Driven Decision Making to rank Vocational and Educational Training Programs with TOPSIS. - Ram Manohar, S. M. Mallikarjunaiah:
An hp-adaptive discontinuous Galerkin discretization of a static anti-plane shear crack model. - Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun:
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. - Jean Leneutre, Vadim Malvone, James Ortiz:
Probabilistic Obstruction Temporal Logic: a Probabilistic Logic to Reason about Dynamic Models. - Yibo Dong, Yu Chen, Jianwen Li, Geguang Pu, Ofer Strichman:
Revisiting Assumptions Ordering in CAR-Based Model Checking. - Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. - Zhilun Zhou, Jingyang Fan, Yu Liu, Fengli Xu, Depeng Jin, Yong Li:
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN. - Donghoon Kim, Gusang Lee, Kyuhong Shim, Byonghyo Shim:
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models. - Danrun Cao, Nicolas Béchet, Pierre-François Marteau:
WikiNER-fr-gold: A Gold-Standard NER Corpus. - Xinguo Yu, Weina Cheng, Chuanzhi Yang, Ting Zhang:
A Theoretical Review on Solving Algebra Problems. - Mikael Mortensen:
A faster multipole Legendre-Chebyshev transform. - Herman Lassche, Michiel Overeem, Ayushi Rastogi:
Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot. - Mart Lubbers, Peter Achten:
Clean for Haskell Programmers. - Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler:
Topic-Conversation Relevance (TCR) Dataset and Benchmarks. - Yulong Wang, Chang Zuo, Yin Xuan, Hong Li, Ni Wei:
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models. - Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang
, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. - Parvez Zamil, Gollam Rabby, Md. Sadekur Rahman, Sören Auer:
NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering. - Amogh Akella:
Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring. - Alex Kaltenbach, Michael Ruzicka:
Conditional quasi-optimal error estimate for a finite element discretization of the p-Navier-Stokes equations: The case p>2. - B. D. Lam, S. Ma, I. Kovalenko, P. Wang, O. Jafari, A. Li, S. Horng:
MIMIC-IV-Ext-PE: Using a large language model to predict pulmonary embolism phenotype in the MIMIC-IV dataset. - Elena Kardanova, Alina Ivanova, Ksenia Tarasova, Taras Pashchenko, Aleksei Tikhoniuk, Elen Yusupova, Anatoly Kasprzhak, Yaroslav Kuzminov, Ekaterina Kruchinskaia, Irina Brun:
A Novel Psychometrics-Based Approach to Developing Professional Competency Benchmark for Large Language Models. - J. Harry Caufield, Carlo Kroll, Shawn T. O'Neil, Justin T. Reese, Marcin P. Joachimiak, Harshad Hegde, Nomi L. Harris, Madan Krishnamurthy, James A. McLaughlin, Damian Smedley, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall:
CurateGPT: A flexible language-model assisted biocuration tool. - Linda Feeken, Martin Fränzle:
Towards the Usage of Window Counting Constraints in the Synthesis of Reactive Systems to Reduce State Space Explosion. 53-69 - Albert Nössig, Tobias Hell, Georg Moser:
Rule by Rule: Learning with Confidence through Vocabulary Expansion. - Ahmed Akib Jawad Karim, Kazi Hafiz Md. Asad, Md. Golam Rabiul Alam:
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. - Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu:
ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate. - Darian Rodriguez Vasquez, Afroditi Papadaki:
Generating Diverse Negations from Affirmative Sentences. - Akshay Rane, Kunalkumar Shelar:
Asymptotic expansions for approximate solutions of boundary integral equations. - Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu:
Evolving Alignment via Asymmetric Self-Play. - Kangxiang Xia, Dake Guo, Jixun Yao, Liumeng Xue, Hanzhao Li, Shuai Wang, Zhao Guo, Lei Xie, Qingqing Zhang, Lei Luo, Minghui Dong, Peng Sun:
The ISCSLP 2024 Conversational Voice Clone (CoVoC) Challenge: Tasks, Results and Findings. - Junming Duan, Wasilij Barsukow, Christian Klingenberg:
Active flux methods for hyperbolic conservation laws - flux vector splitting and bound-preservation. - Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao:
Interpretable Language Modeling via Induction-head Ngram Models. - Quinten Norga, Suparna Kundu, Uttam Kumar Ojha, Anindya Ganguly, Angshuman Karmakar, Ingrid Verbauwhede:
Masking Gaussian Elimination at Arbitrary Order, with Application to Multivariate- and Code-Based PQC. - Mahesh Vaijainthymala Krishnamoorthy:
Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System. - Zhenbiao Cao, Yuanlei Zheng, Zhihao Fan, Xiaojin Zhang, Wei Chen, Xiang Bai:
RSL-SQL: Robust Schema Linking in Text-to-SQL Generation. - Lamine Diop, Marc Plantevit, Arnaud Soulet:
RPS: A Generic Reservoir Patterns Sampler. - Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara:
μ P2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling. - Zachary Roch, Ramya Akula:
Blockchain Services for Digital Government: An Exploration of NFT Applications in the Metaverse. - Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo:
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment. - Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott:
Label Noise: Ignorance Is Bliss. - Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai, Michal Hlavac, Vladimir Karashchuk, Jacob Krantz, Roozbeh Mottaghi, Priyam Parashar, Siddharth Patki, Ishita Prasad, Xavier Puig, Akshara Rai, Ram Ramrakhya, Daniel Tran, Joanne Truong, John M. Turner, Eric Undersander, Tsung-Yen Yang:
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John Leonard, Phillip Isola:
Learning Visual Parkour from Generated Images. - Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John Subosits, Thomas Lew:
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling. - Viviana Alejandra Diaz, Leandro Martin Salomone, Marcela Zuccalli:
Lagrangian neural networks for nonholonomic mechanics. - Wang Du-Yi, Liang Guo, Liu Guangwu, Zhang Kun:
Derivative-Free Optimization via Finite Difference Approximation: An Experimental Study. - Altera. AL, Andrew Ahn, Nic Becker, Stephanie Carroll, Nico Christie, Manuel Cortes, Arda Demirci, Melissa Du, Frankie Li, Shuying Luo, Peter Y. Wang, Mathew Willows, Feitong Yang, Guangyu Robert Yang:
Project Sid: Many-agent simulations toward AI civilization. - Shankara Narayanan Krishna, Khushraj Madnani, Agnipratim Nag, Paritosh K. Pandya:
Openness And Partial Adjacency In One Variable TPTL. - Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup:
Soft Condorcet Optimization for Ranking of General Agents. - Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao:
I Can Hear You: Selective Robust Training for Deepfake Audio Detection. - Berkay Kaplan:
Globalping: A Community-Driven, Open-Source Platform for Scalable, Real-Time Network Measurements. - Thomas Crasson, Yacine Nabet, Mathias Lécuyer:
Training and Evaluating Causal Forecasting Models for Time-Series. - David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen:
Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. - John Whitington:
Two Dimensional Hidden Surface Removal with Frame-to-frame Coherence. - Tang Li, Mengmeng Ma, Xi Peng:
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales. - Benjamin Cookson, Soroush Ebadian, Nisarg Shah:
Constrained Fair and Efficient Allocations. - Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath:
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. - Sapphira Akins, Hans Mertens, Frances Zhu:
Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration. - Ricardo Valadas, Maximilian Stölzle, Jingyue Liu, Cosimo Della Santina:
Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control. - Pantelis I. Kaplanoglou, Konstantinos I. Diamantaras:
Learning local discrete features in explainable-by-design convolutional neural networks. - Sanaz Mahmoodi Takaghaj:
ViT-LCA: A Neuromorphic Approach for Vision Transformers. - Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, Semih Yavuz:
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking. - Chen Zhao, Xuan Wang, Tong Zhang, Saqib Javed, Mathieu Salzmann:
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis. - Chunyan Mu, Muhammad Najib, Nir Oren:
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems. - Charles Westphal, Stephen Hailes, Mirco Musolesi:
Mutual Information Preserving Neural Network Pruning. - Michael Köhler-Bussmeier, Lorenzo Capra:
A "Symbolic" Representation of Object-Nets (Extended Version). - Christopher Richardson, Roshan Sharma, Neeraj Gaur, Parisa Haghani, Anirudh Sundar, Bhuvana Ramabhadran:
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking. - Nursena Köprücü, Destiny Okpekpe, Antonio Orvieto:
NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs. - Antonio Almudévar, Romain Serizel, Alfonso Ortega:
Angular Distance Distribution Loss for Audio Classification. - Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh:
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. - Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen:
Unlocking the Potential of Global Human Expertise. - Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira, Luiz Antonio Zanlorensi, Paulo Ricardo Lisboa de Almeida:
Using Deep Neural Networks to Quantify Parking Dwell Time. - Catalina Rus-Casas, Carlos Gilabert-Torres, Juan Ignacio Fernandez-Carrasco:
Optimizing Energy Management and Sizing of Photovoltaic Batteries for a Household in Granada, Spain: A Novel Approach Considering Time Resolution. - Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Mohammad Farazi, Yalin Wang:
A Recipe for Geometry-Aware 3D Mesh Transformers. - Yue Fu, Han Bin, Tony Zhou, Marx Wang, Yixin Chen, Zelia Gomes Da Costa Lai, Jacob O. Wobbrock, Alexis Hiniker:
Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking. - Ibne Hassan, Aman Mujahid, Abdullah Al Hasib, Andalib Rahman Shagoto, Joyanta Jyoti Mondal, Meem Arafat Manab, Jannatun Noor:
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia. - Mujin Cheon, Jay H. Lee, Dong-Yeun Koh, Calvin Tsay:
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization. - Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis, Xi Peng:
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey. - John Wu, David Wu, Jimeng Sun:
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. - Pranav Singh Chib, Pravendra Singh:
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking. - Panagiota Gatoula, Dimitrios E. Diamantis, Anastasios Koulaouzidis, Cristina Carretero, Stefania Chetcuti-Zammit, Pablo Cortegoso Valdivia, Begoña González-Suárez, Alessandro Mussetto, John Plevris, Alexander Robertson, Bruno Rosa, Ervin Toth, Dimitris K. Iakovidis:
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy. - Mark Díaz, Angela D. R. Smith:
What Makes An Expert? Reviewing How ML Researchers Define "Expert". - Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey:
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs. - Curtis Bechtel, Shaddin Dughmi:
Efficient Multi-Agent Delegated Search. - Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar:
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. - Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada:
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis. - Tempest A. van Schaik, Xinggang Liu, Louis Atallah, Omar Badawi:
Monitoring fairness in machine learning models that predict patient mortality in the ICU. - Ce Zhou, Qiben Yan, Daniel Kent, Guangjing Wang, Weikang Ding, Ziqi Zhang, Hayder Radha:
Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving. - Marek Kirejczyk, Maciej Kalka, Leonid Logvinov:
Historical and Multichain Storage Proofs. - Aris J. Aristorenas:
Machine Learning Framework for Audio-Based Content Evaluation using MFCC, Chroma, Spectral Contrast, and Temporal Feature Engineering. - Brody McNutt, Libby Zhang, Angus Carey-Douglas, Fritz Vollrath, Frank Pope, Leandra L. Brickson:
Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis. - James Li, Noam Zilberstein, Alexandra Silva:
Total Outcome Logic: Proving Termination and Nontermination in Programs with Branching. - Kan Li, José C. Príncipe:
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems. - Nassim Oufattole, Teya S. Bergamaschi, Aleksia Kolo, Hyewon Jeong, Hanna Gaggin, Collin M. Stultz, Matthew B. A. McDermott:
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. - Nidhal Jegham, Chan Young Koh, Marwan F. Abdelatti, Abdeltawab M. Hendawi:
Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors. - Keivan Rezaei, Khyathi Raghavi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander:
RESTOR: Knowledge Recovery through Machine Unlearning. - Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning. - Luc Jonveaux:
Using Large Language Models for a standard assessment mapping for sustainable communities. - Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen, Geoffrey Eappen, Prabhu K. Thiruvasagam, Hong-Fu Chou, Duc-Dung Tran, Luis Manuel Garcés Socarrás, Jorge Luis González Rios, Juan Carlos Merlano Duncan, Symeon Chatzinotas:
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification. - Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala:
Scale-Aware Recognition in Satellite Images under Resource Constraint. - Hsien-Chih Chang, Vincent Cohen-Addad, Jonathan Conroy, Hung Le, Marcin Pilipczuk, Michal Pilipczuk:
Embedding Planar Graphs into Graphs of Treewidth O(log3 n). - Haozhe Lei, Yunfei Ge, Quanyan Zhu:
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing. - Zachary Tam, Karthik Dharmarajan, Tianshuang Qiu, Yahav Avigal, Jeffrey Ichnowski, Ken Goldberg:
BOMP: Bin-Optimized Motion Planning. - Ehsan Ganjidoost, Jeff Orchard:
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding. - Sara Honarvar, Yancy Diaz-Mercado:
Learning Optimal Interaction Weights in Multi-Agents Systems. - Gholamreza Davarpanah, Sajjad Mohammadi:
A New Switched Reluctance Motor with Embedded Permanent Magnets for Transportation Electrification. - Johanna Karras, Yingwei Li, Nan Liu, Luyang Zhu, Innfarn Yoo, Andreas Lugmayr, Chris Lee, Ira Kemelmacher-Shlizerman:
Fashion-VDM: Video Diffusion Model for Virtual Try-On. - José Ignacio Olalde-Verano, Sascha Kirch, Clara María Pérez Molina, Sergio Martín:
SambaMixer: State of Health Prediction of Li-ion Batteries using Mamba State Space Models. - Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor W. Webb:
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. - Shaohua Liu, Junzhe Lu, Zuoya Gu, Jiajun Li, Yue Deng:
Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes. - Bill Fan, Jacob Roulier, Gina Olson:
A Fast and Model Based Approach for Evaluating Task-Competence of Antagonistic Continuum Arms. - Gustavo Arengas:
Certified binary search tree on W-types. - Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello:
ResiDual Transformer Alignment with Spectral Decomposition. - Alan Jeffares, Alicia Curth, Mihaela van der Schaar:
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. - Yubin Kim, Chanwoo Park, Hyewon Jeong, Cristina Grau-Vilchez, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Cynthia Breazeal, Hae Won Park:
A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making. - Muhieddine Shebaro, Lucas Rusnak, Martin Burtscher, Jelena Tesic:
GraphC: Parameter-free Hierarchical Clustering of Signed Graph Networks v2. - Maxwell Meyer, Jack Spruyt:
IO Transformer: Evaluating SwinV2-Based Reward Models for Computer Vision. - Michael T. Goodrich, Ryuto Kitagawa, Vinesh Sridhar:
Dynamic Accountable Storage: An Efficient Protocol for Real-time Cloud Storage Auditing. - Grace Guo, Jenna Jiayi Kang, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma:
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models. - David Smerkous, Qinxun Bai, Fuxin Li:
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA. - Allison Naaktgeboren, Sean Noble Anderson, Andrew Tolmach, Greg Sullivan:
Pipe-Cleaner: Flexible Fuzzing Using Security Policies. - Mehmet Emre Akbulut, Yusuf Erdem Nacar:
Content Aware Analysis of Scholarly Networks: A Case Study on CORD19 Dataset. - Grace Kim, Luca Powell, Filip Svoboda, Nicholas D. Lane:
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations. - Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi:
TurtleBench: A Visual Programming Benchmark in Turtle Geometry. - Koffi Ismael Ouattara:
Quantifying calibration error in modern neural networks through evidence based theory. - Yiwei Wu, Leah Ajmani, Shayne Longpre, Hanlin Li:
A Systematic Review of NeurIPS Dataset Management Practices. - Jianwen Gan, Yan Chen, Peng Zhou, Liang Du:
Clustering ensemble algorithm with high-order consistency learning. - Yunhui Liang, Jianwen Gan, Yan Chen, Peng Zhou, Liang Du:
Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation. - Diptarka Saha, Zihe Liu, Feng Liang:
Efficient Model Compression for Bayesian Neural Networks. - Kyung-hwan Lee, Kyung-tae Kim:
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery. - Joanikij Chulev:
Improving Musical Instrument Classification with Advanced Machine Learning Techniques. - Quan Zhou, Changhua Pei, Fei Sun, Jing Han, Zhengwei Gao, Dan Pei, Haiming Zhang, Gaogang Xie, Jianhui Li:
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. - Torin Gerhart, Justin Sunu, Ekaterina Merkurjev, Jen-Mei Chang, Jérôme Gilles, Andrea L. Bertozzi:
Detection and tracking of gas plumes in LWIR hyperspectral video sequence data. - Alexandru T. Cismaru:
Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies. - Yueqiao Jin, Roberto Martínez-Maldonado, Dragan Gasevic, Lixiang Yan:
GLAT: The Generative AI Literacy Assessment Test. - Ruisi Zhang, Tianyu Liu, Will Feng, Andrew Gu, Sanket Purandare, Wanchao Liang, Francisco Massa:
SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile. - Ashkan Golgoon, Ryan Franks, Khashayar Filom, Arjun Ravi Kannan:
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings. - David A. Danhofer:
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks. - Kazi Ahmed Asif Fuad, Lizhong Chen:
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models. - Megan C. Coram, Allison M. Okamura, Cosima du Pasquier:
Fabrication and Performance of Textile Pneumatic Actuators. - Serena Zhang, Sraavya Sambara, Oishi Banerjee, Julián Nicolás Acosta, L. John Fahrner, Pranav Rajpurkar:
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models. - Jiwoong Sohn, Yein Park, Chanwoong Yoon, Sihyeon Park, Hyeon Hwang, Mujeen Sung, Hyunjae Kim, Jaewoo Kang:
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering. - Wei Chow, Juncheng Li, Qifan Yu, Kaihang Pan, Hao Fei, Zhiqi Ge, Shuai Yang, Siliang Tang, Hanwang Zhang, Qianru Sun:
Unified Generative and Discriminative Training for Multi-modal Large Language Models. - Daijin Yang, Erica Kleinman, Casper Harteveld:
GPT for Games: An Updated Scoping Review (2020-2024). - Yeachan Kim, Junho Kim, Wing-Lam Mok, Jun-Hyung Park, SangKeun Lee:
C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning. - Hiroshi Okajima, Yusuke Fujimoto, Hiroshi Oku, Haruto Kondo:
Cyclic Reformulation Based System Identification for Periodically Time-varying Systems. - Shuying Gan, Xijun Wang, Chao Xu, Xiang Chen:
Task-oriented Age of Information for Remote Monitoring Systems. - Satvik Dixit, Soham Deshmukh, Bhiksha Raj:
MACE: Leveraging Audio for Evaluating Audio Captioning Systems. - Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim:
Constant Acceleration Flow. - Sajad Sotudeh, Nazli Goharian:
Learning to Rank Salient Content for Query-focused Summarization. - Connor J. McLaughlin, Lili Su:
Personalized Federated Learning via Feature Distribution Adaptation. - Shengxun Wei, Zan Gao, Yibo Zhao, Weili Guan:
Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification. - Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang:
Beyond Utility: Evaluating LLM as Recommender. - Xintao Jiang, Yaosen Chen, Siqin Zhang, Wei Wang, Xuming Wen:
NCST: Neural-based Color Style Transfer for Video Retouching. - Karine Karine, Benjamin M. Marlin:
StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention. - Kedi Zheng, Hanwei Xu, Zeyang Long, Yi Wang, Qixin Chen:
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand. - Xiaotian Li, Baojie Fan, Jiandong Tian, Huijie Fan:
GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection. - Meng Sun, Lin Li, Ming Li, Xiaohui Tao, Dong Zhang, Peipei Wang, Jimmy Xiangji Huang:
A Survey on Bundle Recommendation: Methods, Applications, and Challenges. - Wenhao Wang, Deli Qiao, Lei Yang, Yueying Zhan, Derrick Wing Kwan Ng:
Energy Efficiency Analysis of IRS-aided Wireless Communication Systems Under Statistical QoS Constraints: An Information-Theoretic Perspective. - Weicheng Ma, Luyang Zhao, Chun-Yi She, Yitao Jiang, Alan Sun, Bo Zhu, Devin J. Balkcom, Soroush Vosoughi:
On the Exploration of LM-Based Soft Modular Robot Design. - Luyang Zhao, Yitao Jiang, Chun-Yi She, Mingi Jeong, Haibo Dong, Alberto Quattrini Li, Muhao Chen, Devin J. Balkcom:
An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion. - Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen:
Attention Tracker: Detecting Prompt Injection Attacks in LLMs. - Dinitha Wijewardhana, Sugandima Vidanagamachchi, Nalin A. G. Arachchilage:
Examining Attacks on Consensus and Incentive Systems in Proof-of-Work Blockchains: A Systematic Literature Review. - Zhongyue Zhang, Lina Xu, Xingkai Wang, Xu Zhang, Mingming Fan:
Understanding and Co-designing Photo-based Reminiscence with Older Adults. - Muhammad Muzammil, Zhengyu Wu, Lalith Harisha, Brian Kondracki, Nick Nikiforakis:
Typosquatting 3.0: Characterizing Squatting in Blockchain Naming Systems. - Mengcheng Li, Mingbao Lin, Fei Chao, Chia-Wen Lin, Rongrong Ji:
TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images. - Daichi Tajima, Yoshihiro Kanamori, Yuki Endo:
All-frequency Full-body Human Image Relighting. - Mathew Mithra Noel, Akshay Chawla:
An Improved Rapidly Exploring Random Tree Algorithm for Path Planning in Configuration Spaces with Narrow Channels. - Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steven M. Seitz, John Thickstun:
Constrained Diffusion Implicit Models. - Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sungyub Kim, Eunho Yang:
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. - Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Anit Kumar Sahu, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi:
Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction. - Tao Yu, Xingye Yue, Changjuan Zhang:
Heterogeneous Multiscale Method for elliptic problem without scale separation. - Tao Yu, Xingye Yue:
Localized Orthogonal Decomposition Method with H1 Interpolation for Multiscale Elliptic Problem. - Lina Wang, Yunsheng Yuan, Feng Li, Lingjie Duan:
ROSS:RObust decentralized Stochastic learning based on Shapley values. - Md Kamrul Hasan Chy, Obed Nana Buadi:
A Machine Learning Driven Website Platform and Browser Extension for Real-time Scoring and Fraud Detection for Website Legitimacy Verification and Consumer Protection. - Anish Pahilajani, Devasha Trivedi, Jincen Shuai, Khin S. Yone, Samyak Rajesh Jain, Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Franck Dernoncourt, Yu Wang:
GRS-QA - Graph Reasoning-Structured Question Answering Dataset. - Lijia Yu, Xiao-Shan Gao, Lijun Zhang, Yibo Miao:
Generalizability of Memorization Neural Networks. - Xusheng Zhu, Qingqing Wu, Wen Chen, Xinyuan He, Lexi Xu, Yaxin Zhang:
Discrete RIS Enhanced Space Shift Keying MIMO System via Reflecting Beamforming Optimization. - He Sun, Lipeng Zhu, Weidong Mei, Rui Zhang:
RSRP Measurement Based Channel Autocorrelation Estimation for IRS-Aided Wideband Communication. - Ashwin Balasubramanian, Vito Zou, Hitesh Narayana, Christina You, Luca Luceri, Emilio Ferrara:
A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X. - Haifeng Sun, Lan Zhang, Xiang-Yang Li:
DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models. - Shota Yamanaka, Hiroki Usuba, Junichi Sato, Naomi Sasaya, Fumiya Yamashita, Shuji Yamaguchi:
Tappy Plugin for Figma: Predicting Tap Success Rates of User-Interface Elements under Development for Smartphones. - Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective. - Junlin He, Jinxiao Du, Susu Xu, Wei Ma:
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization. - Telikepalli Kavitha, Kazuhisa Makino:
Perfect Matchings and Popularity in the Many-to-Many Setting. - Jiaru Zou, Qing Wang, Pratyush Thakur, Nickvash Kani:
STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing. - Xi Zheng, Xiangyu Chang, Ruoxi Jia, Yong Tan:
Towards Data Valuation via Asymmetric Data Shapley. - David Anugraha, Garry Kuwanto, Lucky Susanto, Derry Tanti Wijaya, Genta Indra Winata:
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration. - Junlin He, Jinxiao Du, Wei Ma:
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization. - Heiko Hoffmann:
Advantages of Neural Population Coding for Deep Learning. - Li Liu, Diji Yang, Sijia Zhong, Kalyana Suma Sree Tholeti, Lei Ding, Yi Zhang, Leilani H. Gilpin:
Right this way: Can VLMs Guide Us to See More to Answer Questions? - Shuai Xiao, Zaifan Jiang:
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks. - Xiaoying Liu, Anping Chen, Kechen Zheng, Kaikai Chi, Bin Yang, Tarik Taleb:
Distributed Computation Offloading for Energy Provision Minimization in WP-MEC Networks with Multiple HAPs. - Chaoqian Wang, Qi Su:
Spatial public goods games on any population structure. - Zhiyu Xie, Yuqing Zhang, Xiangjun Tang, Yiqian Wu, Dehan Chen, Gongsheng Li, Xaogang Jin:
StyleTex: Style Image-Guided Texture Generation for 3D Models. - Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi:
Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments. - Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla:
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. - Yinxuan Huang, Chengmin Gao, Bin Li, Xiangyang Xue:
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection. - Arjun Ramesh Kaushik, Charanjit Jutla, Nalini K. Ratha:
Towards Building Secure UAV Navigation with FHE-aware Knowledge Distillation. - JuneYoung Park, MinJae Kang:
Fast Adaptation with Kernel and Gradient based Meta Leaning. - Quy-Anh Dang, Chris Ngo:
MoD: A Distribution-Based Approach for Merging Large Language Models. - Dong Wen, Zhongpei Liu, Tong Yang, Tao Li, Tianyun Li, Chenglong Li, Jie Li, Zhigang Sun:
Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis. - Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go Irie:
Black-Box Forgetting. - Arjun Ramesh Kaushik, Sunil Rufus R. P, Nalini K. Ratha:
Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models. - Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu:
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. - Shiyao Zhang, He Li, Shengyu Zhang, Shuai Wang, Derrick Wing Kwan Ng, Chengzhong Xu:
Multi-Uncertainty Aware Autonomous Cooperative Planning. - John Edwards, Arto Hellas, Juho Leinonen:
On the Opportunities of Large Language Models for Programming Process Data. - Francisco M. F. R. Gonçalves, Ryan M. Bena, Néstor Osvaldo Pérez-Arancibia:
Closed-Loop Stability of a Lyapunov-Based Switching Attitude Controller for Energy-Efficient Torque-Input-Selection During Flight. - Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Self-Evolved Reward Learning for LLMs. - Di Duan, Shengzhe Lyu, Mu Yuan, Hongfei Xue, Tianxing Li, Weitao Xu, Kaishun Wu, Guoliang Xing:
Argus: Multi-View Egocentric Human Mesh Reconstruction Based on Stripped-Down Wearable mmWave Add-on. - Yinfeng Cao, Jiannong Cao, Dongbin Bai, Long Wen, Yang Liu, Ruidong Li:
MAP the Blockchain World: A Trustless and Scalable Blockchain Interoperability Protocol for Cross-chain Applications. - Naufal Suryanto, Andro Aprila Adiputra, Ahmada Yusril Kadiptya, Thi-Thu-Huong Le, Derry Pratama, Yongsu Kim, Howon Kim:
Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing. - Jaewook Lee, Xinyang Sun, Ethan Errington, Miao Guo:
A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential. - Aman Gupta, Anirudh Ravichandran, Ziji Zhang, Swair Shah, Anurag Beniwal, Narayanan Sadagopan:
DARD: A Multi-Agent Approach for Task-Oriented Dialog Systems. - Xuchen Xie, Yiqiao Qiu, Run Lin, Weishi Zheng, Ruixuan Wang:
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection. - Wout Gerdes, Erman Acar:
Integrating Fuzzy Logic into Deep Symbolic Regression. - Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang:
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. - Yun Jiang, Zilong Xie, Wei Zhang, Yun Fang, Shuai Pan:
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation. - Rick Wertenbroek, Alberto Dassatti:
Pandora's Box in Your SSD: The Untold Dangers of NVMe. - Zhirui Sun, Bingyi Xia, Peijia Xie, Xiaoxiao Li, Jiankun Wang:
NAMR-RRT: Neural Adaptive Motion Planning for Mobile Robots in Dynamic Environments. - Peichen Xie, Yanjie Gao, Jilong Xue:
FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing. - Yu-Zhe Shi, Fanxu Meng, Haofei Hou, Zhangqian Bi, Qiao Xu, Lecheng Ruan, Qining Wang:
Expert-level protocol translation for self-driving labs. - Jukka Ruohonen:
An Empirical Study of Vulnerability Handling Times in CPython. - Jianhua Sun, Yuxuan Li, Longfei Xu, Nange Wang, Jiude Wei, Yining Zhang, Cewu Lu:
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization. - Subhadip Nandi, Neeraj Agrawal:
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model. - Ruihuai Liang, Bo Yang, Pengyu Chen, Xianjin Li, Yifan Xue, Zhiwen Yu, Xuelin Cao, Yan Zhang, Mérouane Debbah, H. Vincent Poor, Chau Yuen:
Diffusion Models as Network Optimizers: Explorations and Analysis. - Yulin Chen, Haoran Li, Zihao Zheng, Yangqiu Song, Dekai Wu, Bryan Hooi:
Defense Against Prompt Injection Attack by Leveraging Attack Techniques. - Meng Wang, Yuchen Liu, Gangmin Li, Terry R. Payne, Yong Yue, Ka Lok Man:
Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products. - Zixuan He, Ziqian Kong, Zhengyu Chen, Yuling Zhan, Zijun Que, Zhengguo Xu:
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines. - Jie Wang, Tingfa Xu, Lihe Ding, Jianan Li:
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions. - Shiwei Sun, Giovanni S. Alberti:
The learned range test method for the inverse inclusion problem. - Xiao-Hang Jiang, Yang Ai, Rui-Chen Zheng, Hui-Peng Du, Ye-Xin Lu, Zhen-Hua Ling:
MDCTCodec: A Lightweight MDCT-based Neural Audio Codec towards High Sampling Rate and Low Bitrate Scenarios. - Rui Yang, Jie Wang, Guoping Wu, Bin Li:
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions. - Anuradha Chopra, Abhinaba Roy, Dorien Herremans:
MIRFLEX: Music Information Retrieval Feature Library for Extraction. - Lianjun Liu:
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive Channel Attention. - Yuchen Song, Yao Zhang, Anni Zhou, Yan Shi, Shikui Shen, Xiongyan Tang, Jin Li, Min Zhang, Danshi Wang:
Synergistic Interplay of Large Language Model and Digital Twin for Autonomous Optical Networks: Field Demonstrations. - Jun Cui:
Computer Application Research based on Chinese Human Resources and Network Information Security Technology Management and Analysis In Chinese Universities. - Ren Xin, Jie Cheng, Jun Ma:
PlanScope: Learning to Plan Within Decision Scope Does Matter. - Bubacarr Jobarteh, Madalina Mincu, Gavojdian Dinu, Suresh Neethirajan:
Multi Modal Information Fusion of Acoustic and Linguistic Data for Decoding Dairy Cow Vocalizations in Animal Welfare Assessment. - Mitch Arkeen Salvador, Khavee Agustus Botangen, Mary Camille Rabang, Ivan Christian Salinas, Marlon A. Naagas, Angelika Balagot:
Development of a Web-based Research Consortium Database Management System: Advancing Data-driven and Knowledge-based Project Management. - Yuchen Zheng, Yuxin Jing, Jufeng Zhao, Guangmang Cui:
LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO. - Qasim Khan, Anthony Suen:
Comparative Analysis of Polynomials with Their Computational Costs. - Zihong He, Weizhe Lin, Hao Zheng, Fan Zhang, Matt W. Jones, Laurence Aitchison, Xuhai Xu, Miao Liu, Per Ola Kristensson, Junxiao Shen:
Human-inspired Perspectives: A Survey on AI Long-term Memory. - Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes:
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains. - Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen:
Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models. - Andrew Bond, Zafer Dogan:
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning. - Hairuo Hu, Haiyong Cong, Zhuyu Shao, Yubo Bi, Jinghao Liu:
Cross-modal semantic segmentation for indoor environmental perception using single-chip millimeter-wave radar raw data. - Guodong Chen, Jiu Jimmy Jiao, Qiqi Liu, Zhongzheng Wang, Yaochu Jin:
Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems. - Óscar Blanco-Novoa, Paulo Barros, Paula Fraga-Lamas, Sérgio Ivan Lopes, Tiago M. Fernández-Caramés:
IoT Architectures for Indoor Radon Management: A Prospective Analysis. - Jiabao He, Håkan Hjalmarsson:
Weighted Null Space Fitting (WNSF): A Link between The Prediction Error Method and Subspace Identification. - Gi-Cheon Kang, Junghyun Kim, Kyuhwan Shim, Jun Ki Lee, Byoung-Tak Zhang:
CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision. - Aida Vidal-Balea, Paula Fraga-Lamas, Tiago M. Fernández-Caramés:
Advancing NASA-TLX: Automatic User Interaction Analysis for Workload Evaluation in XR Scenarios. - Paula Fraga-Lamas, Tiago M. Fernández-Caramés:
Tactical Edge IoT in Defense and National Security. - (Withdrawn) Label Cluster Chains for Multi-Label Classification.
- Tarkan Temizöz, Christina Imdahl, Remco M. Dijkman, Douniel Lamghari-Idrissi, Willem van Jaarsveld:
Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide. - Anum Paracha, Junaid Arshad, Mohamed Ben Farah, Khalid N. Ismail:
Outlier-Oriented Poisoning Attack: A Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass Learning. - Carlotta Langer, Yasmin Kim Georgie, Ilja Porohovoj, Verena Vanessa Hafner, Nihat Ay:
Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective. - Minhyeon Oh, Seungjoon Lee, Jungseul Ok:
Active Preference-based Learning for Multi-dimensional Personalization. - Sadaf Khan, Zhengyuan Shi, Ziyang Zheng, Min Li, Qiang Xu:
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations. - Anbang Wang:
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models. - Jongmin Lee, Minsu Cho:
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction. - Sourav Modak, Anthony Stein:
Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems. - Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin:
Conditional Synthesis of 3D Molecules with Time Correction Sampler. - Johannes Seiffarth, Luisa Blöbaum, Richard D. Paul, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Ralf Mikut, Hanno Scharr, Alexander Grünberger, Katharina Nöh:
Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics. - Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara:
Is Multiple Object Tracking a Matter of Specialization? - Xintong Yang, Ze Ji, Yu-Kun Lai:
Differentiable Physics-based System Identification for Robotic Manipulation of Elastoplastic Materials. - Nikita Severin, Aleksei Ziablitsev, Yulia Savelyeva, Valeriy Tashchilin, Ivan Bulychev, Mikhail Yushkov, Artem Kushneruk, Amaliya Zaryvnykh, Dmitrii Kiselev, Andrey V. Savchenko, Ilya Makarov:
LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. - Francesco D'Amato, Roberto Saltini, Thanh-Hai Tran, Luca Zanolini:
3-Slot-Finality Protocol for Ethereum. - Carlos E. Budde, Arnd Hartmanns, Tobias Meggendorfer, Maximilian Weininger, Patrick Wienhöft:
Sound Statistical Model Checking for Probabilities and Expected Rewards. - Ruiyu Xia, Jianqiang Li, Xi Xu, Guanghui Fu:
Topology and Intersection-Union Constrained Loss Function for Multi-Region Anatomical Segmentation in Ocular Images. - Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc, Livio Finos, Enrico Grisan:
Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors. - Leo Ardon, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh:
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products. - Yu Han, Jeroen Bergmann:
Transforming Medical Regulations into Numbers: Vectorizing a Decade of Medical Device Regulatory Shifts in the USA, EU, and China. - Julian Heinovski, Doganalp Ergenç, Kirsten Thommes, Falko Dressler:
Incentive-based Platoon Formation: Optimizing the Personal Benefit for Drivers. - Bruno Mendes, Pedro F. Souto, Pedro C. Diniz:
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning. - Théo Lavier:
A Semi-Discrete Optimal Transport Scheme for the 3D Incompressible Semi-Geostrophic Equations. - Curtis Wigington:
Handheld Video Document Scanning: A Robust On-Device Model for Multi-Page Document Scanning. - Dillon Z. Chen:
WLPlan: Relational Features for Symbolic Planning. - Antoine P. Sanner, Jonathan Stieber, Nils F. Grauhan, Suam Kim, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay:
Federated Voxel Scene Graph for Intracranial Hemorrhage. - Yo Toyomoto, Toshiyuki Oshima, Kosei Oishi, José M. Maestre, Takeshi Hatanaka:
Constraint-Driven Multi-USV Coverage Path Generation for Aquatic Environmental Monitoring. - Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Yiling Lou, Tianlin Li, Weisong Sun, Yang Liu, Xuanzhe Liu:
Benchmarking Bias in Large Language Models during Role-Playing. - Taejong Joo, Diego Klabjan:
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees. - Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels:
α-TCVAE: On the relationship between Disentanglement and Diversity. - Pierre Cagne, Patricia Johann:
Early Announcement: Parametricity for GADTs. - Zhili Feng, Tanya Marwah, Nicolò Fusi, David Alvarez-Melis, Lester Mackey:
Adapting Language Models via Token Translation. - Li Li:
On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR. - Evangelia Tzimpimpaki, Thrasyvoulos Spyropoulos:
Diversity in Network-Friendly Recommendations. - Po-Chuan Chen, Mahdin Rohmatillah, You-Teng Lin, Jen-Tzung Chien:
ConvCounsel: A Conversational Dataset for Student Counseling. - Yunming Hui, Inez Maria Zwetsloot, Simon Trimborn, Stevan Rudinac:
Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks. - Xiang Li, Cheng Chen, Yuan-Yao Lou, Mustafa Abdallah, Kwang Taik Kim, Saurabh Bagchi:
HopTrack: A Real-time Multi-Object Tracking System for Embedded Devices. - Tian Xu, Zhilong Zhang, Ruishuo Chen, Yihao Sun, Yang Yu:
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation. - Yu Tai, Xinglong Wu, Hongwei Yang, Hui He, Duanjing Chen, Yuanming Shao, Weizhe Zhang:
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method. - Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang:
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. - Vladimir Billig:
Apriori_Goal algorithm for constructing association rules for a database with a given classification. - John G. Whitington, Tom Ridge:
Visualizing the Evaluation of Functional Programs for Debugging. - Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, Yongbin Li:
Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement. - (Withdrawn) Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models.
- Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan:
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. - Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu:
ZIM: Zero-Shot Image Matting for Anything. - Yuyan Zhang, Derya Soydaner, Fatemeh Behrad, Lisa Koßmann, Johan Wagemans:
Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks. - Zerui Wang, Yan Liu:
STAA: Spatio-Temporal Attention Attribution for Real-Time Interpreting Transformer-based Video Models. - Jasper Roe, Mike Perkins:
Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis. - Jincen Jiang, Qianyu Zhou, Yuhang Li, Xinkui Zhao, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang, Xuequan Lu:
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding. - Ali Ebrahimi Pourasad, Walid Maalej:
Does GenAI Make Usability Testing Obsolete? - Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko:
Variational Neural Stochastic Differential Equations with Change Points. - Talaya Farasat, Atiqullah Ahmadzai, Aleena Elsa George, Sayed Alisina Qaderi, Dusan Dordevic, Joachim Posegga:
SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python. - John Whitington:
Debugging Functional Programs by Interpretation. - Zhen Yao, Mooi Choo Chuah:
Event-guided Low-light Video Semantic Segmentation. - Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Zixi Zhu, Yi Liu, Haodi Ping, Shangguang Wang:
LLM-Based Misconfiguration Detection for AWS Serverless Computing. - Ramakant Kumar:
Transforming Agriculture: Exploring Diverse Practices and Technological Innovations. - Houjing Wei, Hakaze Cho, Yuting Shi, Naoya Inoue:
Phase Diagram of Vision Large Language Models Inference: A Perspective from Interaction across Image and Instruction. - Matteo Ferrari, Sara Fraschini, Gabriele Loli, Ilaria Perugia:
Unconditionally stable space-time isogeometric discretization for the wave equation in Hamiltonian formulation. - Hah Min Lew, Sahng-Min Yoo, Hyunwoo Kang, Gyeong-Moon Park:
Towards High-fidelity Head Blending with Chroma Keying for Industrial Applications. - Ying-Chun Lin, Jennifer Neville, Cassiano Becker, Purvanshi Metha, Nabiha Asghar, Vipul Agarwal:
Rethinking Node Representation Interpretation through Relation Coherence. - Negin Musavi, Ziyao Guo, Geir E. Dullerud, Yingying Li:
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees. - Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen:
Path Integral Control for Hybrid Dynamical Systems. - Hongjun An, Yiliang Song, Xuelong Li:
Physics in Next-token Prediction. - Jingming Guo, Yan Liu, Yu Meng, Zhiwei Tao, Banglan Liu, Gang Chen, Xiang Li:
MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel Optimization. - Charlie B. Tan, Edan Toledo, Benjamin Ellis, Jakob N. Foerster, Ferenc Huszár:
Beyond the Boundaries of Proximal Policy Optimization. - Bryan S. Guevara, Viviana Moya, Luis F. Recalde, David Pozo-Espin, Daniel Ceferino Gandolfo, Juan Marcos Toibero:
Model Predictive Contouring Control with Barrier and Lyapunov Functions for Stable Path-Following in UAV systems. - Jane Greenberg, Kio Polson, Scott McClellan, Xintong Zhao, Alex Kalinowski, Yuan An:
Enhancing Semantic Interoperability Across Materials Science With HIVE4MAT. - Kio Polson, Marina Potapova, Uttam Meena, Chad Peiper, Joshua Brown, Joshua Agar, Jane Greenberg:
Making Sense of Metadata Mess: Alignment & Risk Assessment for Diatom Data Use Case. - Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira:
Zipfian Whitening. - Sarah Al-Shareeda, Khayal Huseynov, Lal Verda Çakir, Craig Thomson, Mehmet Özdem, Berk Canberk:
AI-based traffic analysis in digital twin networks. - Catherine Mulligan, Giaime Berti, Seema Gadh Kumar:
Community-Based Resilience: Digital Technologies for Living within Planetary Boundaries. - Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs:
TaxaBind: A Unified Embedding Space for Ecological Applications. - Caroline M. Gevaert, Alexandra Aguiar Pedro, Ou Ku, Hao Cheng, Pranav Chandramouli, Farzaneh Dadrass Javan, Francesco Nattino, Sonja Georgievska:
Explainable few-shot learning workflow for detecting invasive and exotic tree species. - Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho:
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models. - Evangelos Papoutsellis, Zeljko Kereta, Kostas Papafitsoros:
Why do we regularise in every iteration for imaging inverse problems? - Qingfei Zhao, Ruobing Wang, Xin Wang, Daren Zha, Nan Mu:
Towards Multi-Source Retrieval-Augmented Generation via Synergizing Reasoning and Preference-Driven Retrieval. - Linda Zeng:
Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis. - Fuying Wang, Feng Wu, Yihan Tang, Lequan Yu:
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis. - Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er, Brandon Amos:
Wasserstein Flow Matching: Generative modeling over families of distributions. - Leif Feddersen:
Algorithmic Transparency in Forecasting Support Systems. - Armin Pournaki, Tom Willaert:
A graph-based approach to extracting narrative signals from public discourse. - Mohammad Bajelani, Walter Lucia, Klaske van Heusden:
Set-Theoretic Direct Data-driven Predictive Control. - Bipasha Sen, Michelle Wang, Nandini Thakur, Aditya Agarwal, Pulkit Agrawal:
Learning to Look Around: Enhancing Teleoperation and Learning with a Human-like Actuated Neck. - Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon:
ReMatching Dynamic Reconstruction Flow. - Thanh Nguyen-Tang, Raman Arora:
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms. - Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh, Rafeef Garbi, Homayoun Najjaran:
Debiasify: Self-Distillation for Unsupervised Bias Mitigation. - Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele:
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. - Saurav R. Pandey, Aaqib Saeed, Harlin Lee:
PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. - Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang:
Token-level Proximal Policy Optimization for Query Generation. - Laura Wenderoth:
Exploring Multi-Modality Dynamics: Insights and Challenges in Multimodal Fusion for Biomedical Tasks. - Hamees Ul Hasan Sayed, Advait Joglekar, Srinivasan Umesh:
SPRING Lab IITM's submission to Low Resource Indic Language Translation Shared Task. - Mohammad Feizabadi, Arman Hosseini, Zakaria Yahouni:
Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing. - Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan, Joseph Lemley, Peter Corcoran:
Autobiasing Event Cameras. - Haibin Wu, Wenming Li, Kai Yan, Zhihua Fan, Peiyang Wu, Yuqun Liu, Yanhuan Liu, Ziqing Qiang, Meng Wu, Kunming Liu, Xiaochun Ye, Dongrui Fan:
Multilayer Dataflow: Orchestrate Butterfly Sparsity to Accelerate Attention Computation. - Carl Edwards, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Heng Ji, Gabriele Scalia:
MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction. - Messiah Abolfazli Esfahani, Ayse Basar, Sajad Saeedi:
FG-PE: Factor-graph Approach for Multi-robot Pursuit-Evasion. - Mohammed Alsubeihi, Arthur Jessop, Ben Moseley, Cláudio P. Fonte, Ashwin Kumar Rajagopalan:
Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations. - Aashiq Muhamed, Mona T. Diab, Virginia Smith:
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models. - Ziting Wang, Haitao Yuan, Wei Dong, Gao Cong, Feifei Li:
CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation. - Tayyebeh Jahani-Nezhad, Parsa Moradi, Mohammad Ali Maddah-Ali, Giuseppe Caire:
Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace. - Yiwen Ding, Zhiheng Xi, Wei He, Zhuoyuan Li, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang:
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. - Junyoung Jang, Brigitte Pientka:
Polymorphic Metaprogramming with Memory Management - An Adjoint Analysis of Metaprogramming. - Xiaoya Tang, Jake Bergquist, Benjamin Steinberg, Tolga Tasdizen:
Hierarchical Transformer for Electrocardiogram Diagnosis. - Etrit Haxholli, Yeti Ziya Gürbüz, Ogul Can, Eli Waxman:
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching. - Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao:
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. - Hanwei Kung, Tuomas Varanka, Sanjay Saha, Terence Sim, Nicu Sebe:
Face Anonymization Made Simple. - Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen:
GameGen-X: Interactive Open-world Game Video Generation. - Yang Liu, Chuanchen Luo, Zhongkai Mao, Junran Peng, Zhaoxiang Zhang:
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes. - Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Kumar Ravikumar, Alexander G. Gray, Xujie Si, Sebastian A. Scherer:
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation. - Xiong Wang, Yangze Li, Chaoyou Fu, Yunhang Shen, Lei Xie, Ke Li, Xing Sun, Long Ma:
Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM. - Yuval Dagan, Michael I. Jordan, Xuelin Yang, Lydia Zakynthinou, Nikita Zhivotovskiy:
Dimension-free Private Mean Estimation for Anisotropic Distributions. - Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen:
Randomized Autoregressive Visual Generation. - Hamid Eghbalzadeh, Shuai Shao, Saurabh Verma, Venugopal Mani, Hongnan Wang, Jigar Madia, Vitali Karpinchyk, Andrey Malevich:
Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models. - Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi, Zhenhao Chen, Yujie Fu, Zeyu Zhang, Shiyu Jiang, Miao Fang, Ling Chen, Xiuying Chen:
Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies. - Qianggang Ding, Haochen Shi, Bang Liu:
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs. - Hani Alers, Aleksandra Malinowska, Mathis Mourey, Jasper Waaijer:
From chalkboards to chatbots: SELAR assists teachers in embracing AI in the curriculum. - Zhuohan Xie, Rui Xing, Yuxia Wang, Jiahui Geng, Hasan Iqbal, Dhruv Sahnan, Iryna Gurevych, Preslav Nakov:
FIRE: Fact-checking with Iterative Retrieval and Verification. - Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian:
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI. - Hao Kang, Tevin Wang, Chenyan Xiong:
Interpret and Control Dense Retrieval with Sparse Latent Features. - Wenbo Fan, Xiaotian Yan, Zhanbo Sun, Xiaohui Yang:
Novel operational algorithms for ride-pooling as on-demand feeder services. - Xiping Liu, Zhao Tan:
KeyInst: Keyword Instruction for Improving SQL Formulation in Text-to-SQL. - Diyi Liu, Ankur Shiledar, Hyeonsup Lim, Vivek Sujan, Adam Siekmann, Junchuan Fan, Lee D. Han:
An Iterative Algorithm to Impute Truck Information over Nationwide Traffic Networks. - Liuquan Yao, Pei Yang, Zhichao Liu, Wenyan Li, Jianghua Liu, Zhi-Ming Ma:
Erlang Model for Multiple Data Streams (Full Version). - Igor Katrichek:
HOUND: High-Order Universal Numerical Differentiator for a Parameter-free Polynomial Online Approximation. - Xinli Guo:
Sentiment Analysis Based on RoBERTa for Amazon Review: An Empirical Study on Decision Making. - Guy Mouanda:
Unseen Power of Information Assurance over Information Security. - Xia Chen, Guoquan Lv, Xinwei Zhuang, Carlos Duarte, Stefano Schiavon, Philipp Geyer:
Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal. - Stanley Mugisha, Lynn tar Gutu, P. Nagabhushan:
An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement. - Hao Wang, Jiajun Zhong, Yikun Li, Junrong Zhang, Rong Du:
Designing a Dataset for Convolutional Neural Networks to Predict Space Groups Consistent with Extinction Laws. - Patrick Erik Bradley, Angel Alfredo Moran Ledezma:
Approximating Diffusion on Finite Multi-Topology Systems Using Ultrametrics. - Yanshi Li, Shaopan Xiong, Gengru Chen, Xiaoyang Li, Yijia Luo, Xingyao Zhang, Yanhui Huang, Xingyuan Bu, Yingshui Tan, Chun Yuan, Jiamang Wang, Wenbo Su, Bo Zheng:
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. - Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu:
Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation. - Marc Blancafort, Roger Ferrer, Guillaume Houzeaux, Marta Garcia-Gasulla, Filippo Mantovani:
Exploiting long vectors with a CFD code: a co-design show case. - Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang:
CycleResearcher: Improving Automated Research via Automated Review. - Alain Andres, Aitor Martínez-Seras, Ibai Laña, Javier Del Ser:
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications. - Roger Arnau, J. M. Calabuig, Lluís Miquel Garcia-Raffi, Enrique Alfonso Sánchez-Pérez, S. Sanjuan:
A Bellman-Ford algorithm for the path-length-weighted distance in graphs. - Xiao Liu, Bo Qin, Dongzhu Liang, Guang Dong, Hanyu Lai, Hanchen Zhang, Hanlin Zhao, Iat Long Iong, Jiadai Sun, Jiaqi Wang, Junjie Gao, Junjun Shan, Kangning Liu, Shudan Zhang, Shuntian Yao, Siyi Cheng, Wentao Yao, Wenyi Zhao, Xinghan Liu, Xinyi Liu, Xinying Chen, Xinyue Yang, Yang Yang, Yifan Xu, Yu Yang, Yujia Wang, Yulin Xu, Zehan Qi, Yuxiao Dong, Jie Tang:
AutoGLM: Autonomous Foundation Agents for GUIs. - Shriyan Reyya, Yao Cheng:
ROADFIRST: A Comprehensive Enhancement of the Systemic Approach to Safety for Improved Risk Factor Identification and Evaluation. - Kang Yin, Hye-Bin Shin, Dan Li, Seong-Whan Lee:
EEG-based Multimodal Representation Learning for Emotion Recognition. - Letian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan:
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models. - Cheng Qiu:
Leaving Some Facial Features Behind. - Ya-Ting Yang, Tao Li, Quanyan Zhu:
Transparent Tagging for Strategic Social Nudges on User-Generated Misinformation. - Yan Zhang, Ming Li, Chun Li, Zhaoxia Liu, Ye Zhang, Fei Richard Yu:
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning. - Ruofan Wang, Bo Wang, Xiaosen Wang, Xingjun Ma, Yu-Gang Jiang:
IDEATOR: Jailbreaking Large Vision-Language Models Using Themselves. - Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, Johannes Mehrer, Martin Schrimpf:
Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data. - Teerath Kumar, Alessandra Mileo, Malika Bendechache:
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity. - M. M. Akash, Rahul Deb Mohalder, Md. Al Mamun Khan, Laboni Paul, Ferdous Bin Ali:
Yoga Pose Classification Using Transfer Learning. - Haitz Sáez de Ocáriz Borde, Artem Lukoianov, Anastasis Kratsios, Michael M. Bronstein, Xiaowen Dong:
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning. - Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang:
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models. - Zhengbo Zhou, Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. - Jiaqi Wu, Simin Chen, Zehua Wang, Wei Chen, Zijian Tian, F. Richard Yu, Victor C. M. Leung:
Task-Oriented Real-time Visual Inference for IoVT Systems: A Co-design Framework of Neural Networks and Edge Deployment. - Hichem Debbi:
CausAdv: A Causal-based Framework for Detecting Adversarial Examples. - Sabyasachi Bandyopadhyay, Jiaqing Zhang, Ronald L. Ison, David J. Libon, Patrick James Tighe, Catherine C. Price, Parisa Rashidi:
Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes. - Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang:
A Theoretical Perspective for Speculative Decoding Algorithm. - Pierre-Étienne H. Fiquet, Eero P. Simoncelli:
Video prediction using score-based conditional density estimation. - Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan:
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation. - Zhiwei Zhang, Shaojun E, Fandong Meng, Jie Zhou, Wenjuan Han:
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting. - Fulai Yang, Di Wu, Yi He, Li Tao, Xin Luo:
End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial. - Ahmed M. Salih:
Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity. - Stephan Spengler:
Reachability and Safety Games under TSO Semantics. 154-171 - Juntao Xu, Tianxiang Zhan, Yong Deng:
Evaluating Evidential Reliability In Pattern Recognition Based On Intuitionistic Fuzzy Sets. - Yihua Shao, Siyu Liang, Xiaolin Lin, Zijian Ling, Zixian Zhu, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Yilan Meng, Chenyu Zhang, Haotong Qin, Michele Magno, Yang Yang, Zhen Lei, Yan Wang, Jingcai Guo, Ling Shao, Hao Tang:
GWQ: Gradient-Aware Weight Quantization for Large Language Models. - Romina Wild, Vittorio Del Tatto, Felix Wodaczek, Bingqing Cheng, Alessandro Laio:
Automatic feature selection and weighting using Differentiable Information Imbalance. - Zihang Qiu, Chaojie Li, Zhongyang Wang, Huadong Mo, Renyou Xie, Guo Chen, Zhaoyang Dong:
FPE-LLM: Highly Intelligent Time-Series Forecasting and Language Interaction LLM in Energy Systems. - Haim Barad, Jascha Achterberg, Tien Pei Chou, Jean Yu:
Accelerated AI Inference via Dynamic Execution Methods. - Kanzhi Cheng, Yantao Li, Fangzhi Xu, Jianbing Zhang, Hao Zhou, Yang Liu:
Vision-Language Models Can Self-Improve Reasoning via Reflection. - Kassiani Papasotiriou, Srijan Sood, Shayleen Reynolds, Tucker Balch:
AI in Investment Analysis: LLMs for Equity Stock Ratings. - Siwen Quan, Junhao Yu, Ziming Nie, Muze Wang, Sijia Feng, Pei An, Jiaqi Yang:
Deep Learning for 3D Point Cloud Enhancement: A Survey. - Vahideh Hayyolalam, Öznur Özkasap:
DiabML: AI-assisted diabetes diagnosis method with meta-heuristic-based feature selection. - Juan Marcelo Parra Ullauri, Oscar Dilley, Hari Madhukumar, Dimitra Simeonidou:
Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems. - Siddhesh Pawar, Junyeong Park, Jiho Jin, Arnav Arora, Junho Myung, Srishti Yadav, Faiz Ghifari Haznitrama, Inhwa Song, Alice Oh, Isabelle Augenstein:
Survey of Cultural Awareness in Language Models: Text and Beyond. - Levi Harris:
A Simple and Effective Temporal Grounding Pipeline for Basketball Broadcast Footage. - Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck:
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. - Vinicius Lima, Umit Karabiyik:
Advancing Crime Linkage Analysis with Machine Learning: A Comprehensive Review and Framework for Data-Driven Approaches. - Nirmal Joshua Kapu, Mihit Sreejith:
DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models. - Brandon J. Price, Jason Adleberg, Kaesha Thomas, Zach Zaiman, Aawez Mansuri, Beatrice Brown-Mulry, Chima Okechukwu, Judy Gichoya, Hari Trivedi:
Emory Knee Radiograph (MRKR) Dataset. - Tristan Trim, Triston Grayston:
Mechanistic Interpretability of Reinforcement Learning Agents. - José-Fabian Villa-Vásquez, Marco Pedersoli:
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy. - Lovis Kwasi Armah, Igor Melnykov:
K-Means Clustering With Incomplete Data with the Use of Mahalanobis Distances. - Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J. Kim:
LLaMo: Large Language Model-based Molecular Graph Assistant. - Yeachan Kim, Junho Kim, SangKeun Lee:
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning. - Wentao Zhang, Jingyuan Wang, Yifan Yang, Leong Hou U:
VecCity: A Taxonomy-guided Library for Map Entity Representation Learning. - Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser:
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams. - Marek Vlk, Marek Jaros, Zdenek Hanzálek:
Revisiting the Schedule Graph Generation for the Exact and Sustainable Analysis of Non-preemptive Scheduling. - Phil Wee, Riyadh Baghdadi:
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models. - Tung Sum Thomas Kwok, Chi-Hua Wang, Guang Cheng:
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room. - Shimin Chen, Wei Li, Jiaming Chu, Chen Chen, Chen Zhang, Yandong Guo:
Technical Report for SoccerNet Challenge 2022 - Replay Grounding Task. - Zheng Ruan, Ruixuan Liu, Shimin Chen, Mengying Zhou, Xinquan Yang, Wei Li, Chen Chen, Wei Shen:
Technical Report for Soccernet 2023 - Dense Video Captioning. - Shimin Chen, Wei Li, Jianyang Gu, Chen Chen, Yandong Guo:
Technical Report for ActivityNet Challenge 2022 - Temporal Action Localization. - Nishanth Basava:
Revolutionizing Personalized Cancer Vaccines with NEO: Novel Epitope Optimization Using an Aggregated Feed Forward and Recurrent Neural Network with LSTM Architecture. - Chunyan Mu, Nir Oren:
Measuring Responsibility in Multi-Agent Systems. - Ryan Zhang, Herbert Woisetschläger, Shiqiang Wang, Hans-Arno Jacobsen:
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees. - Marcello Carammia, Stefano Maria Iacus, Giuseppe Porro:
Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research. - Song Yu, Xiaofei Xu, Fangfei Xu, Li Li:
Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback. - Jonggyu Jang, Hyeonsu Lyu, Jungyeon Koh, Hyun Jong Yang:
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models. - Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu:
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing. - Yilei Man, Linhai Xie, Shushan Qiao, Yumei Zhou, Delong Shang:
Differentiable architecture search with multi-dimensional attention for spiking neural networks. - Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang:
Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering. - (Withdrawn) On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance.
- Boming Kang, Qinghua Cui:
Ratio law: mathematical descriptions for a universal relationship between AI performance and input samples. - Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold, Joshua Church:
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models. - Liang Mi, Weijun Wang, Wenming Tu, Qingfeng He, Rui Kong, Xinyu Fang, Yazhu Dong, Yikang Zhang, Yunchun Li, Meng Li, Haipeng Dai, Guihai Chen, Yunxin Liu:
V-LoRA: An Efficient and Flexible System Boosts Vision Applications with LoRA LMM. - Mehdi Hosseini Chagahi, Saeed Mohammadi Dashtaki, Niloufar Delfan, Nadia Mohammadi, Alireza Samari, Behzad Moshiri, Md. Jalil Piran, Oliver Faust:
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering. - Nam V. Nguyen, Thong T. Doan, Luong Tran, Van Nguyen, Quang Pham:
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models. - Shakir Khurshid, Bharath Kumar Loganathan, Matthieu Duvinage:
Comparative Evaluation of Applicability Domain Definition Methods for Regression Models. - Vardhan Dongre, Xiaocheng Yang, Emre Can Acikgoz, Suvodip Dey, Gokhan Tur, Dilek Hakkani-Tür:
ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents. - Ming-Chih Lo, Ching Chang, Wen-Chih Peng:
Text2Freq: Learning Series Patterns from Text via Frequency Domain. - Md. Asraful Haque:
LLMs: A Game-Changer for Software Engineers? - Ho-Chun Herbert Chang, Benjamin Shaman, Yung-chun Chen, Mingyue Zha, Sean Noh, Chiyu Wei, Tracy Weener, Maya Magee:
Generative Memesis: AI Mediates Political Memes in the 2024 USA Presidential Election. - Mohsen Bayati, Yuwei Luo, William Overman, Sadegh Shirani, Ruoxuan Xiong:
Higher-Order Causal Message Passing for Experimentation with Complex Interference. - Jose A. Guridi, Angel Hsing-Chi Hwang, Duarte Santo, Maria Goula, Cristobal Cheyre, Lee Humphreys, Marco Rangel:
From Fake Perfects to Conversational Imperfects: Exploring Image-Generative AI as a Boundary Object for Participatory Design of Public Spaces. - Xiaohang Tang, Chiyuan Wang, Chengdong Ma, Ilija Bogunovic, Stephen McAleer, Yaodong Yang:
Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games. - Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani, Emmanuel Beaudry Marchand, Toumadher Ammar, Shin Koseki:
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces. - Duy Nhat Phan, Sushant Jha, James P. Mavo, Erin L. Lanigan, Linh Nguyen, Lokendra Poudel, Rahul Bhowmik:
Scalable AI Framework for Defect Detection in Metal Additive Manufacturing. - Catherine Moez:
Generic Embedding-Based Lexicons for Transparent and Reproducible Text Scoring. - Cheng-Chun Hsu, Bowen Wen, Jie Xu, Yashraj S. Narang, Xiaolong Wang, Yuke Zhu, Joydeep Biswas, Stan Birchfield:
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation. - Larissa Barbosa L. Pinheiro, Sávio Freire, Rita Suzana Pitangueira Maciel, Manoel G. Mendonça, Marcos Kalinowski, Zadia Codabux, Rodrigo O. Spínola:
Attributes of a Great Requirements Engineer. - Parham Jafary, Anna Bazangeya, Michelle Pham, Lesley G. Campbell, Sajad Saeedi, Kourosh Zareinia, Habiba Bougherara:
Raspberry PhenoSet: A Phenology-based Dataset for Automated Growth Detection and Yield Estimation. - Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Umar Farooq Minhas, Jeffrey Pound, Cédric Renggli, Nima Reyhani, Ihab F. Ilyas, Theodoros Rekatsinas, Shivaram Venkataraman:
Incremental IVF Index Maintenance for Streaming Vector Search. - Simon David Noel Rampp, Manuel Milling, Andreas Triantafyllopoulos, Björn W. Schuller:
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning. - Sarthak Giri, Sneha Chaudhary, Bikalpa Gautam:
Analyzing Social Networks of Actors in Movies and TV Shows. - Macarious Hui, Jinda Zhang, Aanchan Mohan:
Enhancing AAC Software for Dysarthric Speakers in e-Health Settings: An Evaluation Using TORGO. - Kathryn T. Farrell, Kirsten Ziman, Michael S. A. Graziano:
Improving How Agents Cooperate: Attention Schemas in Artificial Neural Networks. - Kei Iino, Miho Takahashi, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda:
Inter-Feature-Map Differential Coding of Surveillance Video. - Jiaqi Wu, Simin Chen, Yuzhe Yang, Yijiang Li, Shiyue Hou, Rui Jing, Zehua Wang, Wei Chen, Zijian Tian:
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models. - Robert Long, Jeff Sebo, Patrick Butlin, Kathleen Finlinson, Kyle Fish, Jacqueline Harding, Jacob Pfau, Toni Sims, Jonathan Birch, David Chalmers:
Taking AI Welfare Seriously. - Nicola Dall'Asen, Yiming Wang, Enrico Fini, Elisa Ricci:
Retrieval-enriched zero-shot image classification in low-resource domains. - Samuel A. Moore, Brian P. Mann, Boyuan Chen:
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings. - Zachary H. Hendrix, Peter T. Brown, Tim Flanagan, Douglas Shepherd, Ayush Saurabh, Steve Pressé:
Re-thinking Richardson-Lucy without Iteration Cutoffs: Physically Motivated Bayesian Deconvolution. - Shengren Hou, Peter Palensky, Pedro P. Vergara:
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks. - Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi:
Identifying Implicit Social Biases in Vision-Language Models. - Emely Rosbach, Jonathan Ganz, Jonas Ammeling, Andreas Riener, Marc Aubreville:
Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology. - Gavia Gray, Aman Tiwari, Shane Bergsma, Joel Hestness:
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers. - Tobias Egle, Yashuai Yan, Dongheui Lee, Christian Ott:
Enhancing Model-Based Step Adaptation for Push Recovery through Reinforcement Learning of Step Timing and Region. - Yunshi Wen, Tengfei Ma, Tsui-Wei Weng, Lam M. Nguyen, Anak Agung Julius:
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification. - Emely Rosbach, Jonas Ammeling, Sebastian Krügel, Angelika Kießig, Alexis Fritz, Jonathan Ganz, Chloé Puget, Taryn A. Donovan, Andrea Klang, Maximilian C. Köller, Pompei Bolfa, Marco Tecilla, Daniela Denk, Matti Kiupel, Georgios Paraschou, Mun Keong Kok, Alexander F. H. Haake, Ronald R. de Krijger, Andreas F.-P. Sonnen, Tanit Kasantikul, Gerry M. Dorrestein, Rebecca C. Smedley, Nikolas Stathonikos, Matthias Uhl, Christof A. Bertram, Andreas Riener, Marc Aubreville:
When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. - Karan P. Patel, Andrew Maicke, Jared Arzate, Jaesuk Kwon, J. Darby Smith, James B. Aimone, Jean Anne C. Incorvia, Suma George Cardwell, Catherine D. Schuman:
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators. - Mingi Jeong, Arihant Chadda, Alberto Quattrini Li:
Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters. - Chenxing Zhong, Daniel Feitosa, Paris Avgeriou, Huang Huang, Yue Li, He Zhang:
PairSmell: A Novel Perspective Inspecting Software Modular Structure. - Ismail Hakki Karaman, Gulser Koksal, Levent Eriskin, Salih Salihoglu:
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data. - Luigi Penco, Kazuhiko Momose, Stephen McCrory, Dexton Anderson, Nicholas Kitchel, Duncan Calvert, Robert J. Griffin:
Mixed Reality Teleoperation Assistance for Direct Control of Humanoids. - Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan:
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. - Hithesh Sankararaman, Mohammed Yasin, Tanner Sorensen, Alessandro Di Bari, Andreas Stolcke:
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output. - Gerard Pons, Besim Bilalli, Anna Queralt:
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs. - Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl, Roxane Licandro:
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection. - Ahmet Yusuf Salim, Bart Selman, Henry A. Kautz, Zeljko Ignjatovic, Selçuk Köse:
SKI-SAT: A CMOS-compatible Hardware for Solving SAT Problems. - Hiroki Takizawa:
Semi-Strongly solved: a New Definition Leading Computer to Perfect Gameplay. - Sam Blouir, Jimmy T. H. Smith, Antonios Anastasopoulos, Amarda Shehu:
Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula. - Dongcheng Li, W. Eric Wong, Hu Liu, Man Zhao:
Many-Objective Search-Based Coverage-Guided Automatic Test Generation for Deep Neural Networks. - Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan:
Provable Length Generalization in Sequence Prediction via Spectral Filtering. - Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham:
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference. - Alireza Kazemi, Reza Rohani Sarvestani:
AGISim, An Open Source Airborne Gimbal Mounted IMU Signal Simulator Considering Flight Dynamics Model. - Lixiao Yang, Mengyang Xu, Weimao Ke:
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions. - Jiahao Xu, Zikai Zhang, Rui Hu:
Identify Backdoored Model in Federated Learning via Individual Unlearning. - Dan Hendrycks:
Introduction to AI Safety, Ethics, and Society. - Yuqing Zhou, Ziwei Zhu:
Towards Robust Text Classification: Mitigating Spurious Correlations with Causal Learning. - Sanghyun Byun, Jacob Song, Woo Seong Chung:
MultiDepth: Multi-Sample Priors for Refining Monocular Metric Depth Estimations in Indoor Scenes. - Daniel Nguyen, Myke C. Cohen, Hsien-Te Kao, Grant Engberson, Louis Penafiel, Spencer Lynch, Svitlana Volkova:
Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development. - Sushilkumar Yadav, Irem Bor-Yaliniz:
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks. - Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath:
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities. - Leandro Von Krannichfeldt, Kristina Orehounig, Olga Fink:
Combining Physics-based and Data-driven Modeling for Building Energy Systems. - Zhuofang Li, Rafal Kocielnik, Mitchell Linegar, Deshawn Sambrano, Fereshteh Soltani, Min Kim, Nabiha Naqvie, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez:
Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors. - Marcos Macedo, Yuan Tian, Pengyu Nie, Filipe Roseiro Côgo, Bram Adams:
InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation. - Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Antonio G. Marques:
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data. - Varun Badrinath Krishna:
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMs. - Tuan Ngo, Abid Hassan, Saad Shafiq, Nenad Medvidovic:
Improving DNN Modularization via Activation-Driven Training. - Runsheng Benson Guo, Utkarsh Anand, Arthur Chen, Khuzaima Daudjee:
Cephalo: Harnessing Heterogeneous GPU Clusters for Training Transformer Models. - Jiankun Wei, Abdulrahman Abdulrazzag, Tianchen Zhang, Adel Muursepp, Gururaj Saileshwar:
Privacy Risks of Speculative Decoding in Large Language Models. - Zhipeng Wei, Yuqi Liu, N. Benjamin Erichson:
Emoji Attack: A Method for Misleading Judge LLMs in Safety Risk Detection. - Fin Gentzen, Mounir Bensalem, Admela Jukan:
Effective ML Model Versioning in Edge Networks. - Brian R. Y. Huang:
Plentiful Jailbreaks with String Compositions. - Damien Tageddine, Jean-Christophe Nave:
Structure preserving discretization: A Berezin-Toeplitz Quantization viewpoint. - Miria Feng, Zachary Frangella, Mert Pilanci:
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks. - Jordan Malek:
An Implementation and Experimental Comparison of Dynamic Ordered Sets. - Rami Aly, Andreas Vlachos:
TabVer: Tabular Fact Verification with Natural Logic. - Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain:
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement. - Adam Byerly, Daniel Khashabi:
How Effective Is Self-Consistency for Long-Context Problems? - Yongpan Wang, Hong Li, Xiaojie Zhu, Siyuan Li, Chaopeng Dong, Shouguo Yang, Kangyuan Qin:
BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search. - Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun:
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. - Arnab Tarafder, Yidong Gong, Pradeep Kumar:
Using Half-Precision for GNN Training. - Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng:
Rule Based Rewards for Language Model Safety. - Xin Tian, Zhi Fang, Yi Shao:
Flexural Behavior and Design of Prestressed Ultra-High Performance Concrete (UHPC) Beams: Failure Mode and Ductility. - Bin Lei, Yuchen Li, Yiming Zeng, Tao Ren, Yi Luo, Tianyu Shi, Zitian Gao, Zeyu Hu, Weitai Kang, Qiuwu Chen:
Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage. - Shihong Song, Guanlin Mo, Qingyuan Yang, Hu Ding:
Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems. - Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Farzad Beizaee, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers:
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging. - Md Abu Bakr Siddique, Jiayi Wu, Ioannis M. Rekleitis, Md Jahidul Islam:
AquaFuse: Waterbody Fusion for Physics Guided View Synthesis of Underwater Scenes. - Tengyu Hou, Hanming Bai, Ye Ding, Han Ding:
Generation of Conservative Dynamical Systems Based on Stiffness Encoding. - Anil Sharma, Freeman Chen, Jaesun Noh, Julio DeJesus, Mario Schlener:
Hedging and Pricing Structured Products Featuring Multiple Underlying Assets. - Qing Zhong, Guodong Ding, Angela Yao:
OnlineTAS: An Online Baseline for Temporal Action Segmentation. - Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, Nhat Ho, Alexander T. Pham, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan:
X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios. - Davin Hill, Joshua T. Bone, Aria Masoomi, Max Torop, Jennifer G. Dy:
Axiomatic Explainer Globalness via Optimal Transport. - Soichiro Ueda, Ai Nozaki, Daisuke Kotani, Yasuo Okabe:
Mewz: Lightweight Execution Environment for WebAssembly with High Isolation and Portability using Unikernels. - Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang:
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals. - Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji:
Music Foundation Model as Generic Booster for Music Downstream Tasks. - Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang:
Do LLMs Know to Respect Copyright Notice? - Ege Erdil, David Schneider-Joseph:
Data movement limits to frontier model training. - Rujiao Long, Pengfei Wang, Zhibo Yang, Cong Yao:
HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction. - Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani:
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing. - Hongyuan Lu, Zixuan Li, Wai Lam:
Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models. - Xuanlin Jiang, Yang Zhou, Shiyi Cao, Ion Stoica, Minlan Yu:
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference. - Xiaoqing Zhang, Xiuying Chen, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Rui Yan:
A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns. - Ziqing Fan, Shengchao Hu, Yuhang Zhou, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. - Sonit Singh:
Designing a Robust Radiology Report Generation System. - Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters. - Shijia Liao, Yuxuan Wang, Tianyu Li, Yifan Cheng, Ruoyi Zhang, Rongzhi Zhou, Yijin Xing:
Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis. - Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao:
Negative-Free Self-Supervised Gaussian Embedding of Graphs. - Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang:
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. - Changyuan Zhao, Hongyang Du, Guangyuan Liu, Dusit Niyato:
Supervised Score-Based Modeling by Gradient Boosting. - Weifan Long, Wen Wen, Peng Zhai, Lihua Zhang:
Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions. - Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao:
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization. - Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. - Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang:
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. - Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei Huang, Kaizhu Huang, Qiu-Feng Wang:
Covariance-based Space Regularization for Few-shot Class Incremental Learning. - Mikolaj Malkinski, Szymon Pawlonka, Jacek Mandziuk:
Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems. - Sian-Yao Huang, Cheng-Lin Yang, Che-Yu Lin, Chun-Ying Huang:
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research. - Yang Yan, Yihao Wang, Chi Zhang, Wenyuan Hou, Kang Pan, Xingkai Ren, Zelun Wu, Zhixin Zhai, Enyun Yu, Wenwu Ou, Yang Song:
LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models. - Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli:
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. - Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang:
Graph Cross-Correlated Network for Recommendation. - Chanjuan Liu, Jinmiao Cong, Bingcai Chen, Yaochu Jin, Enqiang Zhu:
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping. - Liao Zhang, David M. Cerna, Cezary Kaliszyk:
Learning Rules Explaining Interactive Theorem Proving Tactic Prediction. - Ziyun Chen, Zhiyi Huang, Dongchen Li, Zhihao Gavin Tang:
Prophet Secretary and Matching: the Significance of the Largest Item. - Gagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, Fakhraddin Alwajih, Muhammad Abdul-Mageed:
Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks. - Xuyang Zhang, Xinwei Yue, Zhihao Han, Tian Li, Xia Shen, Yafei Wang, Rongke Liu:
Relay Satellite Assisted LEO Constellation NOMA Communication System. - Tobias Strangmann, Lennart Purucker, Jörg K. H. Franke, Ivo Rapant, Fabio Ferreira, Frank Hutter:
Transfer Learning for Finetuning Large Language Models. - Siyu Xie, Die Gan, Zhixin Liu:
Stability analysis of distributed Kalman filtering algorithm for stochastic regression model. - Haoran Lu, Ruihai Wu, Yitong Li, Sijie Li, Ziyu Zhu, Chuanruo Ning, Yan Shen, Longzan Luo, Yuanpei Chen, Hao Dong:
GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation. - Jesus S. Aguilar-Ruiz, Cayetano Romero, Andrea Cicconardi:
XNB: Explainable Class-Specific NaIve-Bayes Classifier. - Jesús S. Aguilar-Ruiz:
Class-specific feature selection for classification explainability. - Jianyu Liu, Sheng Bi, Guilin Qi:
PRIMO: Progressive Induction for Multi-hop Open Rule Generation. - Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han:
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step. - Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi:
Infinite-Resolution Integral Noise Warping for Diffusion Models. - Tathagato Roy, Rahul Mishra:
One Arrow, Many Targets: Probing LLMs for Multi-Attribute Controllable Text Summarization. - Aoqian Zhang, Zexue Wu, Yifeng Gong, Ye Yuan, Guoren Wang:
Multivariate Time Series Cleaning under Speed Constraints. - Qi Ju, Thomas Tellier, Meng Sun, Zhemei Fang, Yunfeng Luo:
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies. - Fengze Li, Jishuai He, Jieming Ma, Zhijing Wu:
Real-Time Spatio-Temporal Reconstruction of Dynamic Endoscopic Scenes with 4D Gaussian Splatting. - Luke Marks, Alasdair Paren, David Krueger, Fazl Barez:
Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders. - Baizhou Huang, Xiao Pu, Xiaojun Wan:
B4: A Black-Box Scrubbing Attack on LLM Watermarks. - Lei Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji:
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-identification. - Wang Zhao, Jiachen Liu, Sheng Zhang, Yishu Li, Sili Chen, Sharon X. Huang, Yong-Jin Liu, Hengkai Guo:
MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction. - Sruthi Viswanathan, Seray B. Ibrahim, Ravi Shankar, Reuben Binns, Max Van Kleek, Petr Slovák:
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems. - Ka Wai Wu:
Strengthening DeFi Security: A Static Analysis Approach to Flash Loan Vulnerabilities. - Enrique García-Macías, Z. D. Harris, Emilio Martínez-Pañeda:
TDS Simulator: A MATLAB App to model temperature-programmed hydrogen desorption. - BenLong Wu, Guoqiang Chen, Kejiang Chen, Xiuwei Shang, Jiapeng Han, Yanru He, Weiming Zhang, Nenghai Yu:
AutoPT: How Far Are We from the End2End Automated Web Penetration Testing? - Andy Lo:
Efficient Sparse Training with Structured Dropout. - Breno Matos, Francisco Galuppo, Rennan Cordeiro, Flavio Figueiredo:
I've Heard This Before: Initial Results on Tiktok's Impact On the Re-Popularization of Songs. - Andreas Lutz, Gabriele Steidl, Karsten Müller, Wojciech Samek:
Optimizing Federated Learning by Entropy-Based Client Selection. - Guilherme Soares S. dos Santos, Flavio Figueiredo:
Assessing the Impact of Sampling, Remixes, and Covers on Original Song Popularity. - Dongxu Liu, Bing Xu, Yinzhuo Chen, Bufan Xu, Wenpeng Lu, Muyun Yang, Tiejun Zhao:
PMoL: Parameter Efficient MoE for Preference Mixing of LLM Alignment. - Shahram Ghandeharizadeh, Sandy Irani, Jenny Lam, Jason Yap:
CAMP: A Cost Adaptive Multi-Queue Eviction Policy for Key-Value Stores. - Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould:
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame. - Raquel Meister Ko Freitag:
Diversidade linguística e inclusãao digital: desafios para uma ia brasileira. - Xingming Long, Jie Zhang, Shiguang Shan:
Confidence Aware Learning for Reliable Face Anti-spoofing. - Zhenkai Qin, Qining Luo, Xunyi Nong:
An Innovative CGL-MHA Model for Sarcasm Sentiment Recognition Using the MindSpore Framework. - Batuhan Cengiz, Halil Faruk Karagoz, Tufan Kumbasar:
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density Estimation. - Mingze Gong, Lei Chen, Jia Li:
ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations. - Shahram Ghandeharizadeh, Philip A. Bernstein, Dhruba Borthakur, Haoyu Huang, Jai Menon, Sumit Puri:
Disaggregated Database Management Systems. - Adit Jain, Vikram Krishnamurthy:
Interacting Large Language Model Agents. Interpretable Models and Social Learning. - Borys Ioshchikhes, Michael Frank, Tresa Maria Joseph, Matthias Weigold:
Improving Energy Efficiency in Manufacturing: A Novel Expert System Shell. - Jian Wang, Lingzhi Wang, Husheng Yu, Xiangmin Shen, Yan Chen:
PARIS: A Practical, Adaptive Trace-Fetching and Real-Time Malicious Behavior Detection System. - Qingquan Lin, Weining Lu, Litong Meng, Chenxi Li, Bin Liang:
Efficient Collaborative Navigation through Perception Fusion for Multi-Robots in Unknown Environments. - Túlio Sousa de Gois, Flávia Oliveira Freitas, Julian Tejada, Raquel Meister Ko. Freitag:
NLP and Education: using semantic similarity to evaluate filled gaps in a large-scale Cloze test in the classroom. - Seonil Son, Ju-Min Oh, Heegon Jin, Cheolhun Jang, Jeongbeom Jeong, Kuntae Kim:
Varco Arena: A Tournament Approach to Reference-Free Benchmarking Large Language Models. - Jianing Qian, Yunshuang Li, Bernadette Bucher, Dinesh Jayaraman:
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control. - Joshua A. Robbins, Jacob A. Siefert, Sean Brennan, Herschel C. Pangborn:
Mixed-Integer MPC-Based Motion Planning Using Hybrid Zonotopes with Tight Relaxations.