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ORCIDCoRR, August 2024
- Wenhao Wang, Yifan Sun, Zongxin Yang, Zhengdong Hu, Zhentao Tan, Yi Yang:
Replication in Visual Diffusion Models: A Survey and Outlook. - Subek Sharma, Sisir Dhakal, Mansi Bhavsar:
Evaluating Transfer Learning in Deep Learning Models for Classification on a Custom Wildlife Dataset: Can YOLOv8 Surpass Other Architectures? - Mohamed Allam, Noureddine Boujnah, Noel E. O'Connor, Mingming Liu:
Synthetic Time Series for Anomaly Detection in Cloud Microservices. - Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Yide Ran, Dimitris Stripelis, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He:
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. - Cliver W. Vilca-Tinta, Fred Torres-Cruz, Josefh J. Quispe-Morales:
Optimization of Energy Consumption Forecasting in Puno using Parallel Computing and ARIMA Models: An Innovative Approach to Big Data Processing. - Ana M. Ferreiro, José Antonio García-Rodríguez, José G. López-Salas, Carlos Vázquez:
An efficient implementation of parallel simulated annealing algorithm in GPUs. - Yi Cui:
WebApp1K: A Practical Code-Generation Benchmark for Web App Development. - Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo:
On the Perturbed States for Transformed Input-robust Reinforcement Learning. - Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes:
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation. - Supriya Manna, Niladri Sett:
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI). - David Gamez, Dionis Barcari, Aliya Grig:
A New Type of Foundation Model Based on Recordings of People's Emotions and Physiology. - Mohammad Ali Labbaf Khaniki, Alireza Golkarieh, Houman Nouri, Mohammad Manthouri:
Enhanced Fault Detection and Cause Identification Using Integrated Attention Mechanism. - Xiaofei Zhu, Yabo Yin, Li Wang:
MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation. - Junru Chen, Tianyu Cao, Jing Xu, Jiahe Li, Zhilong Chen, Tao Xiao, Yang Yang:
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification. - Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen:
Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. - Cem Suulker, Alexander Greenway, Sophie Skach, Ildar Farkhatdinov, Stuart Charles Miller, Kaspar Althoefer:
A User Study Method on Healthy Participants for Assessing an Assistive Wearable Robot Utilising EMG Sensing. - Tyler Ward:
Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports. - Jakub Sowa, Bach Hoang, Advaith Yeluru, Steven Qie, Anita Nikolich, Ravishankar K. Iyer, Phuong Cao:
Post-Quantum Cryptography (PQC) Network Instrument: Measuring PQC Adoption Rates and Identifying Migration Pathways. - Anna Beer, Martin Heinrigs, Claudia Plant, Ira Assent:
Temporal Subspace Clustering for Molecular Dynamics Data. - Hanyuan Xiao, Yingshu Chen, Huajian Huang, Haolin Xiong, Jing Yang, Pratusha Prasad, Yajie Zhao:
Localized Gaussian Splatting Editing with Contextual Awareness. - James Cole, Kathryn Hays, Ruth West:
Designing Beyond Current Conceptualizations of Spaceflight Experiences. - Enrico Ghiorzi, Armando Tacchella:
Execution Semantics of Behavior Trees in Robotic Applications. - Fanzhi Jiang, Su Yang, Mark W. Jones, Liumei Zhang:
From Attributes to Natural Language: A Survey and Foresight on Text-based Person Re-identification. - Dickness Kwesiga, Angshuman Guin, Michael Hunter:
Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment. - Riccardo Orlando, Pere-Lluís Huguet Cabot, Edoardo Barba, Roberto Navigli:
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget. - Xudong Xie, Yuzhe Li, Yang Liu, Zhifei Zhang, Zhaowen Wang, Wei Xiong, Xiang Bai:
WAS: Dataset and Methods for Artistic Text Segmentation. - Adam Gould, Guilherme Paulino-Passos, Seema Dadhania, Matthew Williams, Francesca Toni:
Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix). - Wenyuan Chen, Haocong Song, Changsheng Dai, Aojun Jiang, Guanqiao Shan, Hang Liu, Yanlong Zhou, Khaled Abdalla, Shivani N. Dhanani, Katy Fatemeh Moosavi, Shruti Pathak, Clifford Librach, Zhuoran Zhang, Yu Sun:
Automated Sperm Morphology Analysis Based on Instance-Aware Part Segmentation. - Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks:
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models. - Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun:
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. - Xusheng Luo, Tianhao Wei, Simin Liu, Ziwei Wang, Luis Mattei-Mendez, Taylor Loper, Joshua Neighbor, Casidhe Hutchison, Changliu Liu:
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods. - Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus:
Gemma 2: Improving Open Language Models at a Practical Size. - Yufang Hou, Thy Thy Tran, Doan Nam Long Vu, Yiwen Cao, Kai Li, Lukas Rohde, Iryna Gurevych:
A Course Shared Task on Evaluating LLM Output for Clinical Questions. - Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. - Martin Stanek:
Revisiting Monte Carlo Strength Evaluation. - Minxing Zhang, Ahmed Salem, Michael Backes, Yang Zhang:
Vera Verto: Multimodal Hijacking Attack. - Fabian Kröninger, Caroline Lasser, Jirí Vanícek:
Sampling strategies for expectation values within the Herman-Kluk approximation. - Jesús Silva-Rodríguez, Elias Raffoul, Xingpeng Li:
LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids. - Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune L. Gwon, Sungroh Yoon:
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. - Letizia Iannucci, Ali Faqeeh, Ali Salloum, Ted Hsuan Yun Chen, Mikko Kivelä:
Multiway Alignment of Political Attitudes. - Siqi Liang, Sumyeong Ahn, Jiayu Zhou:
Distributed In-Context Learning under Non-IID Among Clients. - Colin Shea-Blymyer, Houssam Abbas:
Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates. - Kaiyuan Tang, Chaoli Wang:
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization. - Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa:
Moderating Group Conversation Dynamics with Social Robots. - Arumoy Shome, Luis Cruz, Diomidis Spinellis, Arie van Deursen:
Understanding Feedback Mechanisms in Machine Learning Jupyter Notebooks. - Jiyoung Lee, Keeheon Lee:
Measuring Falseness in News Articles based on Concealment and Overstatement. - Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos:
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations. - Ying Li, Rahul Singh, Tarun Joshi, Agus Sudjianto:
Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting. - Gandalf Nicolas, Aylin Caliskan:
A Taxonomy of Stereotype Content in Large Language Models. - Yuanqing Wang, Kyunghyun Cho:
Non-convolutional Graph Neural Networks. - Thanet Markchom, Huizhi Liang, James M. Ferryman:
Review of Explainable Graph-Based Recommender Systems. - Giulio Corallo, Paolo Papotti:
Finch: Prompt-guided Key-Value Cache Compression. - Stéphane Vujasinovic, Stefan Becker, Sebastian Bullinger, Norbert Scherer-Negenborn, Michael Arens:
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation. - Lingyu Zhang, Zhengran Ji, Boyuan Chen:
CREW: Facilitating Human-AI Teaming Research. - Georgios Papagiannis, Kamil Dreczkowski, Vitalis Vosylius, Edward Johns:
Adapting Skills to Novel Grasps: A Self-Supervised Approach. - Shreyank N. Gowda, David A. Clifton:
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation. - Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. - Sazzad Sayyed, Milin Zhang, Shahriar Rifat, Ananthram Swami, Michael DeLucia, Francesco Restuccia:
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges. - Nils Demerlé, Philippe Esling, Guillaume Doras, David Genova:
Combining audio control and style transfer using latent diffusion. - Elijah Pelofske, Vincent Urias, Lorie M. Liebrock:
Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models. - Michael Hartung, Andreas Maier, Fernando Delgado-Chaves, Yuliya Burankova, Olga I. Isaeva, Fábio Malta de Sá Patroni, Daniel He, Casey Shannon, Katharina Kaufmann, Jens Lohmann, Alexey Savchik, Anne Hartebrodt, Zoe Chervontseva, Farzaneh Firoozbakht, Niklas Probul, Evgenia Zotova, Olga Tsoy, David B. Blumenthal, Martin Ester, Tanja Laske, Jan Baumbach, Olga I. Zolotareva:
UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics data. - Yadong Lu, Jianwei Yang, Yelong Shen, Ahmed Awadallah:
OmniParser for Pure Vision Based GUI Agent. - Kohei Matsuura, Takanori Ashihara, Takafumi Moriya, Masato Mimura, Takatomo Kano, Atsunori Ogawa, Marc Delcroix:
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation. - Qi Xiong, Xinman Zhang, Jun Shen:
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition. - Daniel D. Johnson:
Penzai + Treescope: A Toolkit for Interpreting, Visualizing, and Editing Models As Data. - Koya Sakakibara:
Well-conditioned dipole-type method of fundamental solutions: derivation and its mathematical analysis. - Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang:
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. - Ava Abderezaei, Anuj Pasricha, Alex Klausenstock, Alessandro Roncone:
Clutter-Aware Spill-Free Liquid Transport via Learned Dynamics. - Alireza Javani, Zhiying Wang:
Load Balancing in Federated Learning. - Zheng Zhang, Qiong Wu, Pingyi Fan, Ke Xiong:
Age of Information Analysis for Multi-Priority Queue and NOMA Enabled C-V2X in IoV. - Joy Z. Wan:
Finding a Shortest M-link Path in a Monge Directed Acyclic Graph. - Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang:
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. - Shuai Zhang, Zite Jiang, Haihang You:
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction. - Jason Dekarske, Gregory Bales, Zhaodan Kong, Sanjay S. Joshi:
Anytime Trust Rating Dynamics in a Human-Robot Interaction Task. - Minheng Xiao, Shi Bo, Zhizhong Wu:
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems. - Hyeok Kim, Arjun Srinivasan, Matthew Brehmer:
Bringing Data into the Conversation: Adapting Content from Business Intelligence Dashboards for Threaded Collaboration Platforms. - Ryan Lavin, Xuekai Liu, Hardhik Mohanty, Logan Norman, Giovanni Zaarour, Bhaskar Krishnamachari:
A Survey on the Applications of Zero-Knowledge Proofs. - Tian Meng, Yang Tao, Wuliang Yin:
Enhanced Structured State Space Models via Grouped FIR Filtering and Attention Sink Mechanisms. - Yingcai Ma, Ziyang Wang, Yuliang Yan, Jian Wu, Yuning Jiang, Longbin Li, Wen Chen, Jianhang Huang:
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao. - Weihang Ding, Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Mohammad Shikh-Bahaei:
Joint Vehicle Connection and Beamforming Optimization in Digital Twin Assisted Integrated Sensing and Communication Vehicular Networks. - Congqi Cao, Yueran Zhang, Yating Yu, Qinyi Lv, Lingtong Min, Yanning Zhang:
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition. - Ohay Angah, James Enouen, Xuegang Ban, Yan Liu:
Discovering Car-following Dynamics from Trajectory Data through Deep Learning. - Tapan Srivastava, Raul Castro Fernandez:
Saving Money for Analytical Workloads in the Cloud. - Zhenyu Bao, Guibiao Liao, Kaichen Zhou, Kanglin Liu, Qing Li, Guoping Qiu:
LoopSparseGS: Loop Based Sparse-View Friendly Gaussian Splatting. - Yiran Xu, Nan Zhong, Zhenxing Qian, Xinpeng Zhang:
Revocable Backdoor for Deep Model Trading. - Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan:
Mobility-Aware Federated Self-supervised Learning in Vehicular Network. - Zhe Huang, Shuo Wang, Yongcai Wang, Wanting Li, Deying Li, Lei Wang:
RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment. - Zihao Ye, Jaehoon Cho, Changjae Oh:
Improving Image De-raining Using Reference-Guided Transformers. - Jim de Groot, Ian Shillito, Ranald Clouston:
Semantical Analysis of Intuitionistic Modal Logics between CK and IK. - Bin Xiao, Lujun Gui, Lei Su, Weipeng Chen:
Clover-2: Accurate Inference for Regressive Lightweight Speculative Decoding. - Wenshan Wang, Yihang Wang, Yixing Fan, Huaming Liao, Jiafeng Guo:
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression. - Zhaohong Liu, Wenxuan Gao, Yinshuai Sun, Peng Dong:
A Reinforcement Learning Based Motion Planner for Quadrotor Autonomous Flight in Dense Environment. - Xiang Fu, Xinpeng Zhang, Jixiang Ma, Peng Zhao, Shuai Lu, Xu T. Liu:
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures. - Yesheng Zhang, Xu Zhao:
DMESA: Densely Matching Everything by Segmenting Anything. - Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng:
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. - Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner:
Navigating Text-to-Image Generative Bias across Indic Languages. - Xinhan Di, Zihao Chen, Yunming Liang, Junjie Zheng, Yihua Wang, Chaofan Ding:
Bailing-TTS: Chinese Dialectal Speech Synthesis Towards Human-like Spontaneous Representation. - Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection. - Fuxiang Huang, Suqi Song, Lei Zhang:
Gradient Harmonization in Unsupervised Domain Adaptation. - Bin Cheng, Jiaxuan Lu:
Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network. - Sachin Pathiyan Cherumanal, Ujwal Gadiraju, Damiano Spina:
Everything We Hear: Towards Tackling Misinformation in Podcasts. - Tadashi Wadayama, Lantian Wei:
Gradient Flow Decoding. - Lu Ou, Shaolin Liao, Shihui Gao, Guandong Huang, Zheng Qin:
RDP: Ranked Differential Privacy for Facial Feature Protection in Multiscale Sparsified Subspace. - Yuntao Shou, Haozhi Lan, Xiangyong Cao:
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck. - Yuxiao He, Yiyu Zhuang, Yanwen Wang, Yao Yao, Siyu Zhu, Xiaoyu Li, Qi Zhang, Xun Cao, Hao Zhu:
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°. - Qianyun He, Xinya Ji, Yicheng Gong, Yuanxun Lu, Zhengyu Diao, Linjia Huang, Yao Yao, Siyu Zhu, Zhan Ma, Songcen Xu, Xiaofei Wu, Zixiao Zhang, Xun Cao, Hao Zhu:
EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head. - Ragav Sachdeva, Gyungin Shin, Andrew Zisserman:
Tails Tell Tales: Chapter-Wide Manga Transcriptions with Character Names. - Huishan Ji, Qingyi Si, Zheng Lin, Weiping Wang:
Towards Flexible Evaluation for Generative Visual Question Answering. - Ruichen Zheng, Tao Yu:
Neural Octahedral Field: Octahedral prior for simultaneous smoothing and sharp edge regularization. - Po Chai Wong, Eric T. Chung, Changqing Ye, Lina Zhao:
Constraint Energy Minimizing Generalized Multiscale Finite Element Method for Convection Diffusion Equations with Inhomogeneous Boundary Conditions. - Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. - Gareth Seneque, Lap-Hang Ho, Ariel Kuperman, Nafise Erfanian Saeedi, Jeffrey Molendijk:
ABC Align: Large Language Model Alignment for Safety & Accuracy. - Peaker Guo, Seeun William Umboh, Anthony Wirth, Justin Zobel:
Online Computation of String Net Frequency. - Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao:
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning. - Haoran Xu, Peter W. Glynn, Yinyu Ye:
Online Linear Programming with Batching. - Aiman Farooq, Deepak Mishra, Santanu Chaudhury:
Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling. - Sejoon Oh, Gaurav Verma, Srijan Kumar:
Adversarial Text Rewriting for Text-aware Recommender Systems.