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ORCIDCoRR, March 2023
- Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh:
Reward Design with Language Models. - Wenbiao Yan, Jihua Zhu, Yiyang Zhou, Yifei Wang, Qinghai Zheng:
Multi-view Semantic Consistency based Information Bottleneck for Clustering. - Georg Kruse, Dominik Happel, Stefan Ditze, Stefan Ehrlich, Andreas Rosskopf:
Parameter Optimization of LLC-Converter with multiple operation points using Reinforcement Learning. - Kalvik Jakkala, Srinivas Akella:
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces. - Konstantinos Iordanou, Timothy Atkinson, Emre Ozer, Jedrzej Kufel, John Biggs, Gavin Brown, Mikel Luján:
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data. - Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain:
Decentralized Model Dissemination Empowered Federated Learning in mmWave Aerial-Terrestrial Integrated Networks. - Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor:
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. - Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang:
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. - Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training. - Justin L. Sitler, Long Wang
:
A Redundancy Resolution Method for Free-Floating Underwater Manipulation. - Max Hahn-Klimroth, Dominik Kaaser, Malin Rau:
Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes. - Frank Filbir, Ralf Hielscher, Thomas Jahn, Tino Ullrich:
Marcinkiewicz-Zygmund inequalities for scattered and random data on the q-sphere. - Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan H. Tu, Henry Kvinge:
Robustness of edited neural networks. - Ratijit Mitra, Indranil Saha:
Online On-Demand Multi-Robot Coverage Path Planning. - Decai Chen, Haofei Lu, Ingo Feldmann, Oliver Schreer, Peter Eisert:
Dynamic Multi-View Scene Reconstruction Using Neural Implicit Surface. - Rong Zou, Boyue Lin, Marc Uetz, Matthias Walter:
Algorithmic Solutions for Maximizing Shareable Costs. - Raphaël Berthier, Andrea Montanari, Kangjie Zhou:
Learning time-scales in two-layers neural networks. - Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell:
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. - Richard van Dijk, Daniela Gawehns, Matthijs van Leeuwen:
WEARDA: recording wearable sensor data for human activity monitoring. - Tim-Lukas Habich, Melvin Hueter, Moritz Schappler, Svenja Spindeldreier:
Intuitive Telemanipulation of Hyper-Redundant Snake Robots within Locomotion and Reorientation using Task-Priority Inverse Kinematics. - Jeff Orchard, Russell Jarvis:
Hyperdimensional Computing with Spiking-Phasor Neurons. - Masoud Tabatabaei, Wojciech Jamroga:
Playing to Learn, or to Keep Secret: Alternating-Time Logic Meets Information Theory. - Ajinkya Kulkarni, Atharva Kulkarni, Sara Abedalmonem Mohammad Shatnawi, Hanan Aldarmaki:
ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus. - Alexander Bilz, Lynsay A. Shepherd, Graham I. Johnson:
Tainted Love: A Systematic Review of Online Romance Fraud. - Cornelia Schneider, Jan Vybíral:
A multivariate Riesz basis of ReLU neural networks. - Conor J. Houghton, Nina Kazanina, Priyanka Sukumaran:
Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics. - Shrey Pareek, Harris J. Nisar, Thenkurussi Kesavadas:
AR3n: A Reinforcement Learning-based Assist-As-Needed Controller for Robotic Rehabilitation. - Lanxiao Li, Michael Heizmann:
Applying Plain Transformers to Real-World Point Clouds. - Sven-Jannik Wöhnert, Kai Hendrik Wöhnert, Eldar Almamedov, Carsten Frank, Volker Skwarek:
A study on the use of perceptual hashing to detect manipulation of embedded messages in images. - Jeroen Ooge, Leen Dereu, Katrien Verbert:
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms. - Ognjen Kundacina, Gorana Gojic, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic:
Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation. - Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha:
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. - Jeanne N. Clelland:
Ranked Choice Voting And the Center Squeeze in the Alaska 2022 Special Election: How Might Other Voting Methods Compare? - Stefan Felsner, Hendrik Schrezenmaier, Felix Schröder, Raphael Steiner:
Linear Size Universal Point Sets for Classes of Planar Graphs. - Artiom Alhazov, Vincent Ferrari-Dominguez, Rudolf Freund, Nicolas Glade, Sergiu Ivanov:
A P Systems Variant for Reasoning about Sequential Controllability of Boolean Networks. - Alex Stein, Avi Schwarzschild, Michael J. Curry, Tom Goldstein, John P. Dickerson:
Neural Auctions Compromise Bidder Information. - David A. Kaplan:
Optimization and Amplification of Cache Side Channel Signals. - Juan Castorena:
Representation Disentaglement via Regularization by Identification. - Zhefan Xu, Xiaoyang Zhan, Yumeng Xiu, Christopher Suzuki, Kenji Shimada:
Onboard dynamic-object detection and tracking for autonomous robot navigation with RGB-D camera. - Janhavi Lande, Arti Pillay, Rohitash Chandra:
Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron. - Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, He Zhang, Lu Ling, Bedrich Benes:
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing. - Yalong Jiang, Wenrui Ding, Hongguang Li, Zheru Chi:
Video Pose Track with Graph-Guided Sparse Motion Estimation. - Xingran Chen, Hesam Nikpey, Jungyeol Kim, Saswati Sarkar, Shirin Saeedi Bidokhti:
Containing a spread through sequential learning: to exploit or to explore? - Yuanchao Li, Koji Inoue, Leimin Tian, Changzeng Fu, Carlos Toshinori Ishi, Hiroshi Ishiguro, Tatsuya Kawahara, Catherine Lai:
I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue. - David Eppstein:
Non-crossing Hamiltonian Paths and Cycles in Output-Polynomial Time. - Franck Cassez, Joanne Fuller, Milad K. Ghale, David J. Pearce, Horacio Mijail Anton Quiles:
Formal and Executable Semantics of the Ethereum Virtual Machine in Dafny. - Elena Trunz, Jonathan Klein, Jan U. Müller, Lukas Bode, Ralf Sarlette, Michael Weinmann, Reinhard Klein:
Neural inverse procedural modeling of knitting yarns from images. - Qichao Ma, Jiahu Qin, Brian D. O. Anderson, Long Wang:
Exponential Consensus of Multiple Agents over Dynamic Network Topology: Controllability, Connectivity, and Compactness. - Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman:
Semi-supervised Parametric Real-world Image Harmonization. - Yi-Chien Lin, Viktor K. Prasanna:
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture. - Amanda Baughan, Allison Mercurio, Ariel Liu, Xuezhi Wang, Jilin Chen, Xiao Ma:
A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. - Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. - Yi He, Haoran Xie, Kazunori Miyata:
Sketch2Cloth: Sketch-based 3D Garment Generation with Unsigned Distance Fields. - Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. - Taryn Takebayashi, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman:
An Exploratory Study on the Usage and Readability of Messages Within Assertion Methods of Test Cases. - Kai-Lang Yao, Wu-Jun Li:
Asymmetric Learning for Graph Neural Network based Link Prediction. - Raviteja Anantha, Kriti Bhasin, Daniela de la Parra Aguilar, Prabal Vashisht, Becci Williamson, Srinivas Chappidi:
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction. - Hawra Rabaan, Lynn Dombrowski:
Survivor-Centered Transformative Justice: An Approach to Designing Alongside Domestic Violence Stakeholders in US Muslim Communities. - Jingyao Zhang, Mohsen Imani, Elaheh Sadredini:
BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. - Pedro Cisneros-Velarde, Sanmi Koyejo:
Finite-sample Guarantees for Nash Q-learning with Linear Function Approximation. - Haizhou Du, Chengdong Ni:
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data. - Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos, Paraskevi-Antonia Theofilou:
FaceRNET: a Facial Expression Intensity Estimation Network. - Zheng Li, Caili Guo, Xin Wang, Zerun Feng, Zhongtian Du:
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching. - Sotiris Pelekis, Angelos Pipergias, Evangelos Karakolis, Spiros Mouzakitis, Francesca Santori, Mohammad Ghoreishi, Dimitris Askounis:
Towards a real-time demand response framework for smart communities using clustering techniques. - Sufang Yang, Longguang Li, Jintao Wang:
On the Capacity Region of Optical Intensity Broadcast Channels. - Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis:
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. - Frederic Gmeiner, Humphrey Yang, Lining Yao, Kenneth Holstein, Nikolas Martelaro:
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools. - Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao:
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition. - Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao:
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. - Yun-Yun Tsai, Chengzhi Mao, Yow-Kuan Lin, Junfeng Yang:
Self-Supervised Convolutional Visual Prompts. - Kun Yang, Jun Lu:
DMSA: Dynamic Multi-scale Unsupervised Semantic Segmentation Based on Adaptive Affinity. - Long Tang, Dengpan Ye, Zhenhao Lu, Yunming Zhang, Shengshan Hu, Yue Xu, Chuanxi Chen:
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors. - Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo:
PatchZero: Zero-Shot Automatic Patch Correctness Assessment. - Zhenduo Zhao, Zhuo Li, Wenchao Wang, Pengyuan Zhang:
PCF: ECAPA-TDNN with Progressive Channel Fusion for Speaker Verification. - Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. - Anna Karanika, Rui Yang, Xiaojuan Ma, Jiangran Wang, Shalni Sundram, Indranil Gupta:
CoMesh: Fully-Decentralized Control for Sense-Trigger-Actuate Routines in Edge Meshes. - Jason Milionis, Ciamac C. Moallemi, Tim Roughgarden:
A Myersonian Framework for Optimal Liquidity Provision in Automated Market Makers. - Mingjie Sun, Zico Kolter:
Single Image Backdoor Inversion via Robust Smoothed Classifiers. - Naoki Akai:
Efficient Solution to 3D-LiDAR-based Monte Carlo Localization with Fusion of Measurement Model Optimization via Importance Sampling. - Yanrong Zhang, Xiaoli Li:
Efficient and accurate exponential SAV algorithms with relaxation for dissipative system. - Hassan M. Ahmed, Souhail Maraoui, Muhammed Abd Elnaby Sadek, Bessam Abdulrazak, Camille Vandenberghe, Stephen C. Cunnane, F. Guillaume Blanchet:
Meal-time Detection by Means of Long Periods Blood Glucose Level Monitoring via IoT Technology. - Likang Liu, Keke Sun, Chunlai Zhou, Yuan Feng:
Two Views of Constrained Differential Privacy: Belief Revision and Update. - Hiroshi Hirai, Ryosuke Sato:
Polyhedral Clinching Auctions for Indivisible Goods. - Yun Fan, Yue Leng:
Consta-dihedral Codes over Finite Fields. - Jing Li, Jinpeng Yu, Ruoyu Wang, Zhengxin Li, Zhengyu Zhang, Lina Cao, Shenghua Gao:
P2SDF for Neural Indoor Scene Reconstruction. - Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos, Michael J. Q. Zhang, Eunsol Choi, Bhuwan Dhingra:
DIFFQG: Generating Questions to Summarize Factual Changes. - Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. - Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Zhaodan Kong, Kwan-Liu Ma:
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective. - Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen:
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution. - Alexander Kushkuley:
Some Remarks on Random Vectors and O(n)-Invariants. - Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han:
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. - Yitao Yan, Jie Bao, Biao Huang:
Distributed Data-driven Predictive Control via Dissipative Behavior Synthesis. - Pravesh K. Kothari, Santosh S. Vempala, Alexander S. Wein, Jeff Xu:
Is Planted Coloring Easier than Planted Clique? - Shaolei Zhang, Yang Feng:
Hidden Markov Transformer for Simultaneous Machine Translation. - Pingping Zhang, Shiqi Gong, Shaodan Ma:
Double-RIS Aided Multi-user MIMO Communications: Common Reflection Pattern and Joint Beamforming Design. - Xiangyu Gao, Jianzhong Li, Dongjing Miao:
Computing All Restricted Skyline Probabilities for Uncertain Data. - Sachin Kumar Verma, Abhishek Verma, Avinash Chandra Pandey:
Addressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks. - Md. Mehedi Hasana, Muhammad Ibrahim, Md. Sawkat Ali:
Speeding Up EfficientNet: Selecting Update Blocks of Convolutional Neural Networks using Genetic Algorithm in Transfer Learning. - Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. - Li Zhang, Qing Wang, Hongji Wang, Yue Li, Wei Rao, Yannan Wang, Lei Xie:
Distance-based Weight Transfer from Near-field to Far-field Speaker Verification. - Abhishek Verma, Virender Ranga:
Security of RPL Based 6LoWPAN Networks in the Internet of Things: A Review. - Haolin Zhang, Chaitanya Krishna Prasad Vallabh, Xiayun Zhao:
Influence of Spattering on In-process Layer Surface Roughness during Laser Powder Bed Fusion. - Abhishek Verma, Virender Ranga:
The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things. - Shanshan Lyu, Qiwei Chen, Tao Zhuang, Junfeng Ge:
Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System. - (Withdrawn) UAV Tracking with Lidar as a Camera Sensors in GNSS-Denied Environments.
- Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev:
Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention. - Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu:
FedScore: A privacy-preserving framework for federated scoring system development. - Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue:
To Make Yourself Invisible with Adversarial Semantic Contours. - Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
Enhancing Knowledge Graph Embedding Models with Semantic-driven Loss Functions. - Yuechen Yu, Yulin Li, Chengquan Zhang, Xiaoqiang Zhang, Zengyuan Guo, Xiameng Qin, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang:
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training. - Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang:
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. - Matteo Scucchia, Davide Maltoni:
Region Prediction for Efficient Robot Localization on Large Maps. - Sen Yang, Wen Heng, Gang Liu, Guozhong Luo, Wankou Yang, Gang Yu:
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens. - Jinghe Wang, Wankai Tang, Shi Jin, Xiao Li, Michail Matthaiou:
Static Power Consumption Modeling and Measurement of Reconfigurable Intelligent Surfaces. - Mingming Zhang, Ye Du, Zhenghui Hu, Qingjie Liu, Yunhong Wang:
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction. - Yihang Lin, Pengyuan Zhou, Zhiqian Wu, Yong Liao:
Mitigating Backdoors in Federated Learning with FLD. - Jinhan Kim, Jongchan Park, Shin Yoo:
The Inversive Relationship Between Bugs and Patches: An Empirical Study. - Obin Kwon, Jeongho Park, Songhwai Oh:
Renderable Neural Radiance Map for Visual Navigation. - Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe:
Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices. - Won Jeong Ryoo, Giljoo Nam, Jae-Sang Hyun, Sangpil Kim:
Event Fusion Photometric Stereo Network. - Yuka Okuda, Katsuhito Sudoh, Seitaro Shinagawa, Satoshi Nakamura:
Modeling Multiple User Interests using Hierarchical Knowledge for Conversational Recommender System. - Wenhao Hu, Yingying Liu, Xuanyu Chen, Wenhao Chai, Hangyue Chen, Hongwei Wang, Gaoang Wang:
Deep Learning Methods for Small Molecule Drug Discovery: A Survey. - Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui:
Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits. - Jiayuan Li, Pengcheng Shi, Qingwu Hu, Yongjun Zhang:
RIFT2: Speeding-up RIFT with A New Rotation-Invariance Technique. - Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen:
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. - Igor Sedlár:
Kleene Algebra With Tests for Weighted Programs. - Ningquan Gu, Ruhan He, Lianqing Yu:
DeFNet: Deconstructed Fabric Folding Strategy Based on Latent Space Roadmap and Flow-Based Policy. - Zikai Sun, Thierry Blu:
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution. - Yuri Faenza, Luca Ferrarini:
The Total Matching Polytope of Complete Bipartite Graphs. - Hui Wang, Siqi Zheng, Yafeng Chen, Luyao Cheng, Qian Chen:
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking. - Adam Davies, Jize Jiang, ChengXiang Zhai:
Competence-Based Analysis of Language Models. - Bilel Benjdira, Anis Koubaa, Ahmad Taher Azar, Zahid Khan, Adel Ammar, Wadii Boulila:
TAU: A Framework for Video-Based Traffic Analytics Leveraging Artificial Intelligence and Unmanned Aerial Systems. - Fan Wang, Adams Wai-Kin Kong:
A Practical Upper Bound for the Worst-Case Attribution Deviations. - Yuanqing Feng, Tao Bai, Songfeng Lu, Xueming Tang, Junjun Wu:
SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task. - Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty:
Inline Citation Classification using Peripheral Context and Time-evolving Augmentation. - Yinhuai Wang, Jiwen Yu, Runyi Yu, Jian Zhang:
Unlimited-Size Diffusion Restoration. - Chenyang Liu, Jiajun Yang, Zipeng Qi, Zhengxia Zou, Zhenwei Shi:
Progressive Scale-aware Network for Remote sensing Image Change Captioning. - Jana Lasser, Alina Herderich, Joshua Garland, Segun Taofeek Aroyehun, David García, Mirta Galesic:
Collective moderation of hate, toxicity, and extremity in online discussions. - Max Pascher, Uwe Gruenefeld, Stefan Schneegass, Jens Gerken:
How to Communicate Robot Motion Intent: A Scoping Review. - Martin Feder, Michal Horovitz, Assaf Chen, Raphael Linker, Ofer M. Shir:
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving. - François Alouges, Aline Lefebvre-Lepot, Jessie Levillain:
A limiting model for a low Reynolds number swimmer with N passive elastic arms. - Lingke Kong, X. Sharon Qi, Qijin Shen, Jiacheng Wang, Jingyi Zhang, Yanle Hu, Qichao Zhou:
Indescribable Multi-modal Spatial Evaluator. - Thomas Jantos, Christian Brommer, Eren Allak, Stephan Weiss, Jan Steinbrener:
AI-Based Multi-Object Relative State Estimation with Self-Calibration Capabilities. - Marc-Philippe Neumann, Giona Fieni, Camillo Balerna, Pol Duhr, Alberto Cerofolini, Christopher Harald Onder:
Low-level Online Control of the Formula 1 Power Unit with Feedforward Cylinder Deactivation. - Andrés M. Rueda-Ramírez, Benjamin Bolm, Dmitri Kuzmin, Gregor J. Gassner:
Monolithic Convex Limiting for Legendre-Gauss-Lobatto Discontinuous Galerkin Spectral Element Methods. - Runchuan Zhu, Naye Ji, Youbing Zhao, Fan Zhang:
Few-shots Portrait Generation with Style Enhancement and Identity Preservation. - Elizaveta Savchenko, Ariel Rosenfeld:
Authorship Conflicts in Academia: an International Cross-Discipline Survey. - Giulio Pagnotta, Fabio De Gaspari, Dorjan Hitaj, Mauro Andreolini, Michele Colajanni, Luigi V. Mancini:
DOLOS: A Novel Architecture for Moving Target Defense. - Julian Freytes, Antoine Rossé, Valentin Costan, Grégoire Prime:
Grid-Forming Control Based On Emulated Synchronous Condenser Strategy Compliant With Challenging Grid Code Requirements. - Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu:
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning. - Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. - Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex:
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. - Patrick Henning, Mahima Yadav:
On discrete ground states of rotating Bose-Einstein condensates. - Elisabeth Wetzer, Joakim Lindblad, Natasa Sladoje:
Can representation learning for multimodal image registration be improved by supervision of intermediate layers? - Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao:
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. - Masoud Akbari, Amir-Hossein Karimi, Tayyebeh Saeedi, Zeinab Saeidi, Kiana Ghezelbash, Fatemeh Shamsezat, Mohammad Akbari, Ali Mohades:
A Persian Benchmark for Joint Intent Detection and Slot Filling. - Ming-Chang Lee, Jia-Chun Lin:
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. - Katharina Klioba, Mark Veraar:
Pathwise Uniform Convergence of Time Discretisation Schemes for SPDEs. - Sangwon Seo, Bing Han, Vaibhav V. Unhelkar:
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning. - Petr N. Vabishchevich:
Operator-difference schemes on non-uniform grids for second-order evolutionary equations. - Siem Ghirmai, Daniel Mebrahtom, Moayad Aloqaily, Mohsen Guizani, Mérouane Debbah:
Self-Sovereign Identity for Trust and Interoperability in the Metaverse. - Daniel Weber, Wolfgang Fuhl, Enkelejda Kasneci, Andreas Zell:
Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction. - Ognjen Kundacina, Gorana Gojic, Mile Mitrovic, Dragisa Miskovic, Dejan Vukobratovic:
Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms. - Hristofor Miho, Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini, Georgios Koubouris, Gianluca Godino, Mehmet Hakan, Concepcion Muñoz Diez:
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks. - Inbal Rozencweig, Reshef Meir, Nick Mattei, Ofra Amir:
Mitigating Skewed Bidding for Conference Paper Assignment. - Alessio Capitanelli, Fulvio Mastrogiovanni:
A Framework to Generate Neurosymbolic PDDL-compliant Planners. - Guozhen Zhang, Yuhan Zhu, Haonan Wang, Youxin Chen, Gangshan Wu, Limin Wang:
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation. - Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon:
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. - Yang Yuan:
Succinct Representations for Concepts. - Wenrui Li, Zhengyu Ma, Jinqiao Shi, Xiaopeng Fan:
The style transformer with common knowledge optimization for image-text retrieval. - Mareike Thies, Fabian Wagner, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy. - Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung:
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning. - Rao Ma, Mark J. F. Gales, Kate M. Knill, Mengjie Qian:
N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space. - Anil Kurt, Gokhan M. Guvensen:
Robust Statistical Beamforming with Multi-Cluster Tracking for Time-Varying Massive MIMO (Extended Version). - Manos Kamarianakis, Antonis Protopsaltis, George Papagiannakis:
AR-Assisted Surgical Care via 5G networks for First Aid Responders. - Chao Feng, Haiquan Lu, Yong Zeng, Teng Li, Shi Jin, Rui Zhang:
Near-Field Modelling and Performance Analysis for Extremely Large-Scale IRS Communications. - Tao Li, Feng Xie, Ya Xiong, Qingchun Feng:
Multi-Arm Robot Task Planning for Fruit Harvesting Using Multi-Agent Reinforcement Learning. - Khabibulla Madatov, Shukurla Bekchanov, Jernej Vicic:
Uzbek text summarization based on TF-IDF. - Fangqiang Ding, Andras Palffy, Dariu M. Gavrila, Chris Xiaoxuan Lu:
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision. - Khabibulla Madatov, Sanatbek Matlatipov, Mersaid M. Aripov:
Uzbek text's correspondence with the educational potential of pupils: a case study of the School corpus. - Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang:
ASP: Learn a Universal Neural Solver! - Kemal Koysuren, Ahmet Faruk Keles, Melih Çakmakci:
Online Parameter Estimation using Physics-Informed Deep Learning for Vehicle Stability Algorithms. - Thomas Mildner, Gian-Luca Savino, Philip R. Doyle, Benjamin R. Cowan, Rainer Malaka:
About Engaging and Governing Strategies: A Thematic Analysis of Dark Patterns in Social Networking Services. - Tiago Barros, Luis Garrote, Pedro Conde, Matthew Coombes, C. Liu, Cristiano Premebida, Urbano J. Nunes:
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards. - Khashayar Gatmiry, Jonathan A. Kelner, Santosh S. Vempala:
Sampling with Barriers: Faster Mixing via Lewis Weights. - Pei Peng, Emina Soljanin:
Computing Redundancy in Blocking Systems: Fast Service or No Service. - Marcel Grimmer, Christian Rathgeb, Christoph Busch:
Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality Assessment. - Qiying Pan, Yifei Zhu, Lingyang Chu:
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. - Xing Wang, Kexin Yang, Zhendong Wang, Junlan Feng, Lin Zhu, Juan Zhao, Chao Deng:
Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction. - Susu Sun, Stefano Woerner, Andreas Maier, Lisa M. Koch, Christian F. Baumgartner:
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. - Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao:
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. - Zhe Niu, Brian Mak:
On the Audio-visual Synchronization for Lip-to-Speech Synthesis. - Gang Wang, Zongyu Zuo, Chaoli Wang:
Robust consensus control of second-order uncertain multiagent systems with velocity and input constraints (extended version). - Tianlong Nan, Yuan Gao, Christian Kroer:
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates. - Ali Nikkhah, Anthony Ephremides, Nikolaos Pappas:
Age of Actuation in a Wireless Power Transfer System. - Mina Huh, Ruchira Ray, Corey Karnei:
A Comparison of Speech Data Augmentation Methods Using S3PRL Toolkit. - Sungchul Hong, Yunjin Choi, Jong-June Jeon:
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms. - Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito, Luca Iocchi, Fabio Patrizi:
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping. - Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding:
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. - Xuan Sun, Ziyue Zhang, Guannan Chen, Dan Zhu:
Valid Information Guidance Network for Compressed Video Quality Enhancement. - Kai Zhao, Kun Yuan, Ming Sun, Mading Li, Xing Wen:
Quality-aware Pre-trained Models for Blind Image Quality Assessment. - Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García:
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions. - Mahmoud Nazzal, Abdallah Khreishah, Joyoung Lee, Shaahin Angizi, Ala I. Al-Fuqaha, Mohsen Guizani:
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach. - Shizhen Zhao, Tianyu Zhu, Ximeng Liu:
Efficient Routing Algorithm Design for Large DetNet. - Philip Berger, Sebastian Beleites, Christian Tominski:
Comparing Nodes of Multivariate Graphs Through Dynamic Layout Adaptations. - Adel Omrani:
An Ultra-Wideband Microstrip MIMO Antenna with EBG Loading for WLAN and Sub-6G Applications. - Christian Lienen, Sorel Horst Middeke, Marco Platzner:
fpgaDDS: An Intra-FPGA Data Distribution Service for ROS 2 Robotics Applications. - Andrea Gangemi:
Towards a Privacy-Preserving Dispute Resolution Protocol on Ethereum. - Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang:
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. - Michael Maravgakis, Despina Ekaterini Argiropoulos, Stylianos Piperakis, Panos E. Trahanias:
Probabilistic Contact State Estimation for Legged Robots using Inertial Information. - Qiang Zhou, Chaohui Yu, Zhibin Wang, Fan Wang:
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers. - Armin Mosavi:
Optimal Application of Trajectory Optimization by Travel Profile for Electric Train in an Electrical Transportation System. - (Withdrawn) Optimal Placement of Electric Vehicle Charging Stations in Populated Regions of Tehran for Various Demands Distribution.
- Jirí Fejlek, Stefan Ratschan:
LQR-trees with Sampling Based Exploration of the State Space. - Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini:
CausIL: Causal Graph for Instance Level Microservice Data. - Depu Meng, Owen Sayer, Rusheng Zhang, Shengyin Shen, Houqiang Li, Henry X. Liu:
ROCO: A Roundabout Traffic Conflict Dataset. - Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. - Yang He, Lingao Xiao:
Structured Pruning for Deep Convolutional Neural Networks: A survey. - Eranda Çela, Bettina Klinz, Stefan Lendl, Gerhard J. Woeginger, Lasse Wulf:
A linear time algorithm for linearizing quadratic and higher-order shortest path problems. - Fabio Widmer, Andreas Ritter, Mathias Achermann, Fabian Büeler, Joshua Bagajo, Christopher Harald Onder:
Highly Efficient Year-Round Energy and Comfort Optimization of HVAC Systems in Electric City Buses. - Dekai Zhu, Guangyao Zhai, Yan Di, Fabian Manhardt, Hendrik Berkemeyer, Tuan Tran, Nassir Navab, Federico Tombari, Benjamin Busam:
IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction. - Haiteng Zhao, Shuming Ma, Dongdong Zhang, Zhi-Hong Deng, Furu Wei:
Are More Layers Beneficial to Graph Transformers? - Vittorio Zaccaria:
The propagation game: on simulatability, correlation matrices, and probing security. - Joshua Smailes, Edd Salkield, Sebastian Köhler, Simon Birnbach, Ivan Martinovic:
Dishing Out DoS: How to Disable and Secure the Starlink User Terminal. - Chad Nathe, Chandra S. Pappu, Nicholas A. Mecholsky, Joseph D. Hart, Thomas L. Carroll, Francesco Sorrentino:
Reservoir Computing with Noise. - Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour:
A Universal Question-Answering Platform for Knowledge Graphs. - Linara Adilova, Bernhard C. Geiger, Asja Fischer:
Information Plane Analysis for Dropout Neural Networks. - Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters:
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. - Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi, Yabiao Wang, Chengjie Wang:
Multimodal Industrial Anomaly Detection via Hybrid Fusion. - Yutong Wang, Bairan Xiang, Shinan Huang, Guillaume Sartoretti:
SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding. - Luca Guarnera, Oliver Giudice, Sebastiano Battiato:
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models. - Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert:
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. - Louisa Conwill, Samuel E. Anthony, Walter J. Scheirer:
Has the Virtualization of the Face Changed Facial Perception? A Study of the Impact of Augmented Reality on Facial Perception. - Daniel Glickman, Eran Yahav:
Diffusing Graph Attention. - Sasan Mahmoudinazlou, Changhyun Kwon:
A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone. - Islam Ali, Bingqing Selina Wan, Hong Zhang:
Prediction of SLAM ATE Using an Ensemble Learning Regression Model and 1-D Global Pooling of Data Characterization. - Grace Guo, Ehud Karavani, Alex Endert, Bum Chul Kwon:
Causalvis: Visualizations for Causal Inference. - Wentao Chen, Youcan Yan, Zeqing Zhang, Lei Yang, Jia Pan:
Polymer-Based Self-Calibrated Optical Fiber Tactile Sensor. - Ronald C. van den Broek, Rik Litjens, Tobias Sagis, Luc Siecker, Nina Verbeeke, Pratik Gajane:
Multi-Armed Bandits with Generalized Temporally-Partitioned Rewards. - Simon Rey, Jan Maly:
The (Computational) Social Choice Take on Indivisible Participatory Budgeting. - Mohamed Anwar, Bowen Shi, Vedanuj Goswami, Wei-Ning Hsu, Juan Pino, Changhan Wang:
MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation. - Robert P. Spang, Karl El Hajal, Sebastian Möller, Milos Cernak:
Personalized Task Load Prediction in Speech Communication. - Stefano De Giorgis, Aldo Gangemi:
That's All Folks: a KG of Values as Commonsense Social Norms and Behaviors. - Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun:
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization. - Jie Chen, Xiabin Wang, Ying-Chang Liang:
Impact of Channel Aging on Dual-Function Radar-Communication Systems: Performance Analysis and Resource Allocation. - Jérôme Kunegis, Jun Sun, Eiko Yoneki:
Guided Graph Generation: Evaluation of Graph Generators in Terms of Network Statistics, and a New Algorithm. - Valentin N. Hartmann, Joaquim Ortiz de Haro, Marc Toussaint:
Efficient Path Planning In Manipulation Planning Problems by Actively Reusing Validation Effort. - Xiatao Sun, Shuo Yang, Rahul Mangharam:
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts. - Yulu Pi:
Algorithmic Governance for Explainability: A Comparative Overview of Progress and Trends. - Philine Lou Bommer, Marlene Kretschmer, Anna Hedström, Dilyara Bareeva, Marina M.-C. Höhne:
Finding the right XAI method - A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science. - Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Thakurta:
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy. - Andrei Constantinescu, Roger Wattenhofer:
Computing the Best Policy That Survives a Vote. - Sarita de Berg, Tillmann Miltzow, Frank Staals:
Towards Space Efficient Two-Point Shortest Path Queries in a Polygonal Domain. - Zhi Zheng, Jin Wang, Yuze Wu, Qifeng Cai, Huan Yu, Ruibin Zhang, Jie Tu, Jun Meng, Guodong Lu, Fei Gao:
Roller-Quadrotor: A Novel Hybrid Terrestrial/Aerial Quadrotor with Unicycle-Driven and Rotor-Assisted Turning. - Willy Arthur Silva Reis, Denis Benevolo Pais, Valdinei Freire, Karina Valdivia Delgado:
Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs. - Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin:
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. - Tommy Nilsson, Flavie Rometsch, Leonie Becker, Florian Dufresne, Paul de Medeiros, Enrico Guerra, Andrea E. M. Casini, Anna Vock, Florian Gaeremynck, Aidan Cowley:
Using Virtual Reality to Shape Humanity's Return to the Moon: Key Takeaways from a Design Study. - Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Yiliang Lv, Deli Zhao, Jingren Zhou:
Rethinking Efficient Tuning Methods from a Unified Perspective. - Kevin Iselborn, Marco Stricker, Takashi Miyamoto, Marlon Nuske, Andreas Dengel:
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches. - Anirudh Vemula, Yuda Song, Aarti Singh, J. Andrew Bagnell, Sanjiban Choudhury:
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. - Susana López, Elisenda Molina, Martha Saboyá, Juan Tejada:
The position value as a centrality measure in social networks. - Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio:
Trust your source: quantifying source condition elements for variational regularisation methods. - Renrui Zhang, Liuhui Wang, Ziyu Guo, Jianbo Shi:
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis. - Oscar Lee, Robin Msiska, Maarten A. Brems, Mathias Kläui, Hidekazu Kurebayashi, Karin Everschor-Sitte:
Perspective on unconventional computing using magnetic skyrmions. - Yuan Gao, Rasmus Kyng, Daniel A. Spielman:
Robust and Practical Solution of Laplacian Equations by Approximate Elimination. - Danilo Amigo, Felipe Lepe, Gonzalo Rivera:
A virtual element method for the elasticity spectral problem allowing small edges. - Maria Waheed, Sania Waheed, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
A Complementarity-Based Switch-Fuse System for Improved Visual Place Recognition. - Brandon Smock, Rohith Pesala, Robin Abraham:
Aligning benchmark datasets for table structure recognition. - Ritesh Sarkhel, Arnab Nandi:
Cross-Modal Entity Matching for Visually Rich Documents. - Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. - Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Pieter Spronck:
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation. - Saghir Alfasly, Zaid Al-Huda, Saifullah Bello, Ahmed Elazab, Jian Lu, Chen Xu:
OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment. - Eric Ruzomberka, David J. Love, Christopher G. Brinton, Arpit Gupta, Chih-Chun Wang, H. Vincent Poor:
Challenges and Opportunities for Beyond-5G Wireless Security. - Daniel D. Johnson, Daniel Tarlow, Christian Walder:
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. - Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, Aviv Tamar:
A Deep Learning Perspective on Network Routing. - Priyanka Nanayakkara, Mary Anne Smart, Rachel Cummings, Gabriel Kaptchuk, Elissa M. Redmiles:
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy. - Jack R. Saunders, Vinay P. Namboodiri:
READ Avatars: Realistic Emotion-controllable Audio Driven Avatars. - Mikkel Abrahamsen, Tzvika Geft, Dan Halperin, Barak Ugav:
Coordination of Multiple Robots along Given Paths with Bounded Junction Complexity. - Max Bain, Jaesung Huh, Tengda Han, Andrew Zisserman:
WhisperX: Time-Accurate Speech Transcription of Long-Form Audio. - Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. - Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang:
S-NeRF: Neural Radiance Fields for Street Views. - Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang:
StraIT: Non-autoregressive Generation with Stratified Image Transformer. - András Kornai, Michael Bukatin, Zsolt Zombori:
Safety without alignment. - Odelia Melamed, Gilad Yehudai, Gal Vardi:
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Data Manifolds. - Eric Sun, Jinyu Li, Yuxuan Hu, Yimeng Zhu, Long Zhou, Jian Xue, Peidong Wang, Linquan Liu, Shujie Liu, Edward Lin, Yifan Gong:
Building High-accuracy Multilingual ASR with Gated Language Experts and Curriculum Training. - Anders T. Sandnes, Bjarne A. Grimstad, Odd Kolbjørnsen:
Multi-task neural networks by learned contextual inputs. - Vincenzo Gulisano, Alessandro Margara, Marina Papatriantafilou:
On the Semantic Overlap of Operators in Stream Processing Engines. - George Rahonis, Melpomeni Soula:
Dynamic reconfiguration of component-based systems described by propositional configuration logic. - Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe:
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. - Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi:
Continuous-Time Functional Diffusion Processes. - Philipp Klumpp, Pooja Chitkara, Leda Sari, Prashant Serai, Jilong Wu, Irina-Elena Veliche, Rongqing Huang, Qing He:
Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition. - Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md. Arafat Sultan, Christopher Potts:
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. - Arianna Trozze, Toby Davies, Bennett Kleinberg:
Of Degens and Defrauders: Using Open-Source Investigative Tools to Investigate Decentralized Finance Frauds and Money Laundering. - Vikrant Ashvinkumar, Aaron Bernstein, Nairen Cao, Christoph Grunau, Bernhard Haeupler, Yonggang Jiang, Danupon Nanongkai, Hsin-Hao Su:
Parallel and Distributed Exact Single-Source Shortest Paths with Negative Edge Weights. - Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang:
Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis. - William Yang, Michael Posa:
Impact-Invariant Control: Maximizing Control Authority During Impacts. - Jacob Piland, Adam Czajka, Christopher Sweet:
Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors. - Aayush Agarwal, Saksham Bassi:
Learning high-dimensional causal effect. - Brittany Cates, Anagha Kulkarni, Sarath Sreedharan:
Planning for Attacker Entrapment in Adversarial Settings. - Sami Davies, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang:
Predictive Flows for Faster Ford-Fulkerson. - Sina Mohammad-Taheri, Simone Brugiapaglia:
The greedy side of the LASSO: New algorithms for weighted sparse recovery via loss function-based orthogonal matching pursuit. - Diederik P. Kingma, Ruiqi Gao:
Understanding the Diffusion Objective as a Weighted Integral of ELBOs. - Jayanth S, Nikolaos Pappas, Rajshekhar Vishweshwar Bhat:
Distortion Minimization with Age of Information and Cost Constraints. - Yuyang Shen, Jinming Xu, Jin Zhou, Danzhe Xu, Fangguo Zhao, Jiming Chen, Shuo Li:
Aggressive Trajectory Generation for A Swarm of Autonomous Racing Drones. - Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter:
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. - She Sun, Li Zhou, Xiaoran Yan:
An Improved Christofides Mechanism for Local Differential Privacy Framework. - Chihun Sung, Shyamini Kularathna, Krishna Kumar:
Development of a stable two-phase contact MPM algorithm for saturated soil-structure interaction problems. - Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
SLAS: Speed and Lane Advisory System for Highway Navigation. - Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi, Hossein Farahani, Alexander Baras, C. Blake Gilks, Ali Bashashati:
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images. - Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer:
A prototype hybrid prediction market for estimating replicability of published work. - Luis A. Guardiola, Ana Meca, Justo Puerto:
Allocating the surplus induced by cooperation in distribution chains with multiple suppliers and retailers. - Mu-Huan Chung, Lu Wang, Sharon Li, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell:
Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails. - Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu J. Guerrero:
Bayesian Deep Learning for Affordance Segmentation in images. - Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li:
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training. - Ming-Hsiang Tsou, Qingyun Zhang, Jian Xu, Atsushi Nara, Jean Mark Gawron:
Building Dynamic Ontological Models for Place using Social Media Data from Twitter and Sina Weibo. - Felix Weitbrecht:
Interactive Exploration of the Temporal α-Shape. - Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie:
Variance-reduced Clipping for Non-convex Optimization. - Akriti Verma, Shama Naz Islam, Valeh Moghaddam, Adnan Anwar:
Encouraging Emotion Regulation in Social Media Conversations through Self-Reflection. - Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge:
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. - Longlong Li, Zhifeng Wang, Tingting Zhang:
Photovoltaic Panel Defect Detection Based on Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5. - Santosh Mohan Rajkumar, Kumar Vikram Singh, Jeong-Hoi Koo:
Modeling and Analysis of Multiple Electrostatic Actuators on the Response of Vibrotactile Haptic Device. - Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr:
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB. - Chengnan Shentu, Enxu Li, Chaojun Chen, Puspita Triana Dewi, David B. Lindell, Jessica Burgner-Kahrs:
MoSS: Monocular Shape Sensing for Continuum Robots. - Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell:
Active Reward Learning from Multiple Teachers. - Liz Izhikevich, Renata Teixeira, Zakir Durumeric:
Predicting IPv4 Services Across All Ports. - Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu:
Stochastic Clustered Federated Learning. - Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. - Tugrulcan Elmas:
The Impact of Data Persistence Bias on Social Media Studies. - Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman:
Open-World Object Manipulation using Pre-trained Vision-Language Models. - Felix Faltings, Michel Galley, Baolin Peng, Kianté Brantley, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. - Yusuke Sakurai, Tomoya Kamimura, Yuki Sakamoto, Shohei Nishii, Kodai Sato, Yuta Fujiwara, Akihito Sano:
Bipedal Robot Running: Human-like Actuation Timing Using Fast and Slow Adaptations. - Woojun Kim, Youngchul Sung:
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning. - Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He:
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. - Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P. Lungren, Tristan Naumann, Hoifung Poon:
Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. - Chenqi Kong, Haoliang Li, Shiqi Wang:
Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation. - Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin:
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. - Tamzidul Mina, Wonse Jo, Shyam Sundar Kannan, Byung-Cheol Min:
Beacon-based Distributed Structure Formation in Multi-agent Systems. - Mohammad Khishe, Mokhtar Mohammadi, Tarik A. Rashid, Hoger Mahmud, Seyedali Mirjalili:
Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition. - Mir Tafseer Nayeem, Davood Rafiei:
On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction. - Gan Shen, Shun Kashiwa, Lindsey Kuper:
HasChor: Functional Choreographic Programming for All (Functional Pearl). - Francisco Plana, Andrés Abeliuk, Jorge Pérez:
QuickCent: a fast and frugal heuristic for harmonic centrality estimation on scale-free networks. - Soumi Chaki, David Weinberg, Ayça Özcelikkale:
Communication Trade-offs in Federated Learning of Spiking Neural Networks. - Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol:
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations. - Xiaohai Hu, Aparajit Venkatesh, Guiliang Zheng, Xu Chen:
Learning to Detect Slip through Tactile Measures of the Contact Force Field and its Entropy. - Yinzhen Xu, Weikang Wan, Jialiang Zhang, Haoran Liu, Zikang Shan, Hao Shen, Ruicheng Wang, Haoran Geng, Yijia Weng, Jiayi Chen, Tengyu Liu, Li Yi, He Wang:
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy. - Maryam Jameela, Gunho Sohn:
Spatial Layout Consistency for 3D Semantic Segmentation. - Yurong Liu, Yunlong Xu, Fatemeh Nargesian:
Sampling over Union of Joins. - Xiaoyong Lu, Yaping Yan, Bin Kang, Songlin Du:
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching. - Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh:
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. - Yang Li, Yuichi Tanaka:
Attention-based Graph Convolution Fusing Latent Structures and Multiple Features for Graph Neural Networks. - Haoya Li, Hongkang Ni, Lexing Ying:
A note on spike localization for line spectrum estimation. - Sarvesh Mayilvahanan, Akshay Sarvesh, Swaminathan Gopalswamy:
Reshaping Viscoelastic-String Path-Planner (RVP). - Chao Qin:
Open Problem: Optimal Best Arm Identification with Fixed Budget. - Kunyu Peng, David Schneider, Alina Roitberg, Kailun Yang, Jiaming Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen:
MuscleMap: Towards Video-based Activated Muscle Group Estimation. - Sreelekha Guggilam, Varun Chandola, Abani K. Patra:
Large Deviations for Accelerating Neural Networks Training. - Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
Preference Transformer: Modeling Human Preferences using Transformers for RL. - Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady:
A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks. - Jitendra Maan, Harsh Maan:
Customer Churn Prediction Model using Explainable Machine Learning. - Hung Nguyen, Binh Nguyen, Hyung-Gohn Lee, Hyo-Sung Ahn:
Encrypted Observer-based Control for Linear Continuous-Time Systems. - Hassan Abedi Firouzjaei:
A deep learning-based approach for identifying unresolved questions on Stack Exchange Q&A communities through graph-based communication modelling. - Amanda Aird, Paresha Farastu, Joshua Sun, Amy Voida, Nicholas Mattei, Robin Burke:
Dynamic fairness-aware recommendation through multi-agent social choice. - Mengge Liu, Wen Zhang, Xiang Li, Jian Luan, Bin Wang, Yuhang Guo, Shuoying Chen:
Rethinking the Reasonability of the Test Set for Simultaneous Machine Translation. - Zhijie Shen, Zishuo Zheng, Chunyu Lin, Lang Nie, Kang Liao, Shuai Zheng, Yao Zhao:
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness. - Guo-Hua Wang, Jianxin Wu:
Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithm. - Scarlett Raine, Ross Marchant, Brano Kusy, Frédéric Maire, Tobias Fischer:
Image Labels Are All You Need for Coarse Seagrass Segmentation. - Chihiro Noguchi, Toshihiro Tanizawa:
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning. - Kohei Matsuura, Takanori Ashihara, Takafumi Moriya, Tomohiro Tanaka, Atsunori Ogawa, Marc Delcroix, Ryo Masumura:
Leveraging Large Text Corpora for End-to-End Speech Summarization. - Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation. - Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. - Hongrui Zheng, Rahul Mangharam:
Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks. - Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell:
Using simulation to quantify the performance of automotive perception systems. - Katarina Doctor, Tong Mao, Hrushikesh N. Mhaskar:
Encoding of data sets and algorithms. - Vatsal Kedia, Debraj Chakraborty:
Fast Multivariable Subspace Identification (FMSID) of Combined Deterministic-Stochastic/General LTI Systems for Large Input-Output Data. - Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo:
Heterogeneous Graph Contrastive Learning for Recommendation. - Huiwon Jang, Hankook Lee, Jinwoo Shin:
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning. - Aniket Datar, Chenhui Pan, Mohammad Nazeri, Xuesu Xiao:
Toward Wheeled Mobility on Vertically Challenging Terrain: Platforms, Datasets, and Algorithms. - Yuval Kirstain, Omer Levy, Adam Polyak:
X&Fuse: Fusing Visual Information in Text-to-Image Generation. - Eryk Banatt, Vickram Rajendran, Liam Packer:
Target Domain Data induces Negative Transfer in Mixed Domain Training with Disjoint Classes. - Jiacheng Yuan, Changhyun Choi, Ellad B. Tadmor, Volkan Isler:
Active Mass Distribution Estimation from Tactile Feedback. - Kai Wang, Maike Tong, Changhao Wu, Jun Pang, Chen Chen, Xiapu Luo, Weili Han:
Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering. - Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das:
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. - Davide Pradovera:
Toward a certified greedy Loewner framework with minimal sampling. - Albert Atserias, Sam Buss, Moritz Müller:
On the Consistency of Circuit Lower Bounds for Non-Deterministic Time. - Mohammad Amin Zarrabian, Ni Ding, Parastoo Sadeghi:
On the Lift, Related Privacy Measures, and Applications to Privacy-Utility Tradeoffs. - Yilu Cao, Ziye Jia, Chao Dong, Yanting Wang, Jiahao You, Qihui Wu:
SFC Deployment in Space-Air-Ground Integrated Networks Based on Matching Game. - Yair Meidan, Dan Avraham, Hanan Libhaber, Asaf Shabtai:
CADeSH: Collaborative Anomaly Detection for Smart Homes. - Shuai Yang, Wei Cui:
An Evaluation System for DeFi Lending Protocols. - Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao:
Specformer: Spectral Graph Neural Networks Meet Transformers. - Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay:
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. - Qi Zheng, Daqing Liu, Chaoyue Wang, Jing Zhang, Dadong Wang, Dacheng Tao:
ESceme: Vision-and-Language Navigation with Episodic Scene Memory. - Heejeong Choi, Pilsung Kang:
Multi-Task Self-Supervised Time-Series Representation Learning. - Amila Indika, Peter Y. Washington, Anthony Peruma:
Performance Comparison of Binary Machine Learning Classifiers in Identifying Code Comment Types: An Exploratory Study. - Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu:
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. - Puhua Jiang, Mingze Sun, Ruqi Huang:
Neural Intrinsic Embedding for Non-rigid Point Cloud Matching. - Yair Meidan, Daniel Benatar, Ron Bitton, Dan Avraham, Asaf Shabtai:
D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks. - Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang:
Reinforcement Learning Guided Multi-Objective Exam Paper Generation. - Yixuan Li, Shuhang Zheng, Zhu Yu, Beinan Yu, Si-Yuan Cao, Lun Luo, Hui-Liang Shen:
I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections. - Daizong Liu, Pan Zhou:
Jointly Visual- and Semantic-Aware Graph Memory Networks for Temporal Sentence Localization in Videos. - Jiayuan Zhuang, Zheng Qin, Hao Yu, Xucan Chen:
Task-Specific Context Decoupling for Object Detection. - Shuai Xiao, Le Guo, Zaifan Jiang, Lei Lv, Yuanbo Chen, Jun Zhu, Shuang Yang:
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing. - Junho Kim, Byung-Kwan Lee, Yong Man Ro:
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression. - Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet:
Physics-informed neural networks for solving forward and inverse problems in complex beam systems. - Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Ge Li, Rongcong Lv:
Deep Learning Based Code Generation Methods: A Literature Review. - Li Wang, Ying Wah Teh, Mohammed Ali Al-Garadi:
Adopting the Multi-answer Questioning Task with an Auxiliary Metric for Extreme Multi-label Text Classification Utilizing the Label Hierarchy. - Sahar Sadrizadeh, AmirHossein Dabiri Aghdam, Ljiljana Dolamic, Pascal Frossard:
Targeted Adversarial Attacks against Neural Machine Translation. - Xiaoyang Yu, Youfang Lin, Xiangsen Wang, Sheng Han, Kai Lv:
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning. - David Sychrovsky, Michal Sustr, Elnaz Davoodi, Marc Lanctot, Martin Schmid:
Learning not to Regret. - Hugo M. Verhelst, J. Henk Den Besten, Matthias Möller:
An Adaptive Parallel Arc-Length Method. - Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause:
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation. - Ben Berger, Tomer Ezra, Michal Feldman, Federico Fusco:
Pandora's Problem with Combinatorial Cost. - Xiaoguang Chang, Teng Wang, Shaowei Cai, Changyin Sun:
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph Generation. - Mingxu Tao, Yansong Feng, Dongyan Zhao:
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study. - Jiang Xie, Shuyin Xia, Guoyin Wang, Xinbo Gao:
GBMST: An Efficient Minimum Spanning Tree Clustering Based on Granular-Ball Computing. - Chunfeng Wang, Peisong Huang, Yuxiang Zou, Haoyu Zhang, Shichao Liu, Xiang Yin, Zejun Ma:
LiteG2P: A fast, light and high accuracy model for grapheme-to-phoneme conversion. - Gaochao Song, Luo Zhang, Ran Su, Jianfeng Shi, Ying He, Qian Sun:
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution. - Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang:
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations. - Congchi Yin, Piji Li, Zhaochun Ren:
CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation. - A. Karim Abu-Affash, Paz Carmi, Ori Luwisch, Joseph S. B. Mitchell:
Geometric Spanning Trees Minimizing the Wiener Index. - Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. - Neelotpal Majumdar, Marcel Sarstedt, Lutz Hofmann:
Distribution grid power flexibility aggregation at multiple interconnections between the high and extra high voltage grid levels. - Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota:
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves. - Ruslan Agishev, Tomás Petrícek, Karel Zimmermann:
Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss. - Xuechen Liu, Md. Sahidullah, Tomi Kinnunen:
Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification. - Xuechen Liu, Md. Sahidullah, Kong Aik Lee, Tomi Kinnunen:
Speaker-Aware Anti-Spoofing. - SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. - Matan Schliserman, Tomer Koren:
Tight Risk Bounds for Gradient Descent on Separable Data. - Hao Wang:
Effective Visualization and Analysis of Recommender Systems. - Thierry Boy de la Tour:
Algebraic Monograph Transformations. - Justus Henneberg, Felix Schuhknecht:
RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing. - Tim Schwabe, Maribel Acosta:
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks. - Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel:
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction. - Yu-Fang Chen, Vojtech Havlena, Ondrej Lengál, Andrea Turrini:
A Symbolic Algorithm for the Case-Split Rule in Solving Word Constraints with Extensions (Technical Report). - Jonas Westheider, Julius Rückin, Marija Popovic:
Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning. - Bruno Rodrigues, Eder J. Scheid, Katharina O. E. Müller, Julius Willems, Burkhard Stiller:
Real-time Tracking of Medical Devices: An Analysis of Multilateration and Fingerprinting Approaches. - Esther Aguado, Virgilio Gómez, Miguel Hernando, Claudio Rossi, Ricardo Sanz:
Category Theory for Autonomous Robots: The Marathon 2 Use Case. - Ali Tourani, Hriday Bavle, José Luis Sánchez-López, Rafael Muñoz-Salinas, Holger Voos:
Marker-based Visual SLAM leveraging Hierarchical Representations. - Matthias Cosler, Frederik Schmitt, Christopher Hahn, Bernd Finkbeiner:
Iterative Circuit Repair Against Formal Specifications. - Antonio Albanese, Francesco Devoti, Vincenzo Sciancalepore, Marco Di Renzo, Albert Banchs, Xavier Costa-Pérez:
ARES: Autonomous RIS solution with Energy harvesting and Self-configuration towards 6G. - Vít Krátký, Pavel Petrácek, Vojtech Spurný, Martin Saska:
Autonomous Reflectance Transformation Imaging by a Team of Unmanned Aerial Vehicles. - Ken Trotti:
A domain splitting strategy for solving PDEs. - Zhixing Hou, Yuzhang Shang, Tian Gao, Yan Yan:
BPT: Binary Point Cloud Transformer for Place Recognition. - Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, Genya Ishigami:
Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains. - Alberto Castagna, Ivana Dusparic:
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. - Jack Saunders, Loïc Prenevost, Özgür Simsek, Alan Hunter, Wenbin Li:
Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning. - Vít Krátký, Alfonso Alcántara, Jesús Capitán, Petr Stepán, Martin Saska, Aníbal Ollero:
Autonomous Aerial Filming With Distributed Lighting by a Team of Unmanned Aerial Vehicles. - Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer:
SHAP-IQ: Unified Approximation of any-order Shapley Interactions. - Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. - Tamali Banerjee, V. Rudra Murthy, Pushpak Bhattacharyya:
Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT. - Xiaoyi Liu, Duxin Chen, Wenjia Wei, Xia Zhu, Wenwu Yu:
Interpretable System Identification and Long-term Prediction on Time-Series Data. - Andrianos Michail, Stefanos Konstantinou, Simon Clematide:
UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction. - Houssem Eddine Boulahbal, Adrian Voicila, Andrew I. Comport:
STDepthFormer: Predicting Spatio-temporal Depth from Video with a Self-supervised Transformer Model. - Muhammad Tayyab Zamir, Muhammad Asif Ayub, Jebran Khan, Muhammad Jawad Ikram, Nasir Ahmad, Kashif Ahmad:
Document Provenance and Authentication through Authorship Classification. - Arian Askari, Suzan Verberne, Amin Abolghasemi, Wessel Kraaij, Gabriella Pasi:
Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-Ranker. - Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. - Chungeng Tian, Ning Hao, Fenghua He, Haodi Yao:
Distributed Consistent Multi-robot Cooperative Localization: A Coordinate Transformation Approach. - Jun Xue, Cunhang Fan, Jiangyan Yi, Chenglong Wang, Zhengqi Wen, Dan Zhang, Zhao Lv:
Learning From Yourself: A Self-Distillation Method for Fake Speech Detection. - Yining Shi, Kun Jiang, Jiusi Li, Junze Wen, Zelin Qian, Mengmeng Yang, Ke Wang, Diange Yang:
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review. - Victor Quétu, Enzo Tartaglione:
Dodging the Sparse Double Descent. - Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora:
Why (and When) does Local SGD Generalize Better than SGD? - Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Panagiotis C. Petrantonakis:
Synthetic Misinformers: Generating and Combating Multimodal Misinformation. - Qitao Li, Changfu Gong, Yuan Lin:
Co-Optimization of Adaptive Cruise Control and Hybrid Electric Vehicle Energy Management Via Model Predictive Mixed Integer Control. - Jinyan Liu, Jie Chen:
A Coarse to Fine Framework for Object Detection in High Resolution Image. - Nicolas Viltard, Vibolroth Sambath, Pierre Lepetit, Audrey Martini, Laurent Barthès, Cécile Mallet:
Evaluation of drain, a deep-learning approach to rain retrieval from gpm passive microwave radiometer. - Ane Rahbek Vierø, Anastassia Vybornova, Michael Szell:
BikeDNA: A Tool for Bicycle Infrastructure Data & Network Assessment. - Cyril Zakka, Akash Chaurasia, Rohan Shad, William Hiesinger:
Almanac: Knowledge-Grounded Language Models for Clinical Medicine. - Emiliano De Cristofaro:
What Is Synthetic Data? The Good, The Bad, and The Ugly. - Kaiyu Guo, Brian C. Lovell:
Domain-aware Triplet loss in Domain Generalization. - Mingze Ni, Zhensu Sun, Wei Liu:
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. - Claus Kestel, Marvin Geiselhart, Lucas Johannsen, Stephan ten Brink, Norbert Wehn:
Automorphism Ensemble Polar Code Decoders for 6G URLLC. - Fang Li:
Learning Person-specific Network Representation for Apparent Personality Traits Recognition. - Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li:
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation. - Jingjing Jiang, Nanning Zheng:
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering. - Jianfei Ma:
The Point to Which Soft Actor-Critic Converges. - Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He:
PANACEA: An Automated Misinformation Detection System on COVID-19. - Tianyue Wu, Fei Gao:
Distributed Optimization in Sensor Network for Scalable Multi-Robot Relative State Estimation. - Souvik Paul, Nicolas Kourtellis:
Poster: Sponge ML Model Attacks of Mobile Apps. - Rabiah Al-qudah, Moayad Aloqaily, Bassem Ouni, Mohsen Guizani, Thierry Lestable:
An Incremental Gray-box Physical Adversarial Attack on Neural Network Training. - Haocong Rao, Cyril Leung, Chunyan Miao:
Can ChatGPT Assess Human Personalities? A General Evaluation Framework. - Zhijie Shen, Wu Guo, Bin Gu:
Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech Recognition. - Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre:
Privacy-Preserving Tree-Based Inference with Fully Homomorphic Encryption. - Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar:
Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation? - Zachary Huemann, Changhee Lee, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw:
Domain-adapted large language models for classifying nuclear medicine reports. - Carlos Mendes, Tatiane Nogueira Rios:
Explainable Artificial Intelligence and Cybersecurity: A Systematic Literature Review. - Saiteja Kosgi, Neil Kumar Shah, Vishal Tambrahalli, Neha Sherin, Vineet Gandhi:
ParrotTTS: Text-to-Speech synthesis by exploiting self-supervised representations. - Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh:
Subset-Based Instance Optimality in Private Estimation. - Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang:
Unnoticeable Backdoor Attacks on Graph Neural Networks. - Acong Zhang, Ping Li, Guanrong Chen:
Steering Graph Neural Networks with Pinning Control. - Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du:
Token Contrast for Weakly-Supervised Semantic Segmentation. - Pratinav Seth, Akshat Bhandari, Kumud Lakara:
Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems. - Sondre Sørbø, Massimiliano Ruocco:
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series. - Geneviève Dusson, Yvon Maday:
An overview of a posteriori error estimation and post-processingmethods for nonlinear eigenvalue problems. - Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker:
Measuring axiomatic soundness of counterfactual image models. - Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, Luping Zhou:
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation. - Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang:
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication. - Peter Thiemann:
Intrinsically Typed Sessions With Callbacks. - Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Rokutan-Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida:
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification. - Liren Jin, Xieyuanli Chen, Julius Rückin, Marija Popovic:
NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering. - Kijung Lee, Mian Wang:
Uses and Gratifications of Alternative Social Media: Why do people use Mastodon? - Shuang Zheng, Jiawei Zhang, Weifeng Zhang:
Scalable optical neural networks based on temporal computing. - Rundong Luo, Yifei Wang, Yisen Wang:
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning. - Tesshu Hanaka, Hirotaka Ono, Kosuke Sugiyama:
Solving Distance-constrained Labeling Problems for Small Diameter Graphs via TSP. - Erqun Dong, Sheroze Sheriffdeen, Shichao Yang, Jing Dong, Renzo De Nardi, Carl Yuheng Ren, Xiao-Wen Chang, Xue Liu, Zijian Wang:
Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion. - Antonio Guerriero, Roberto Pietrantuono, Stefano Russo:
Iterative Assessment and Improvement of DNN Operational Accuracy. - Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti, Francesco Trovò:
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. - Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez:
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks. - Andrew Fuchs, Andrea Passarella, Marco Conti:
Compensating for Sensing Failures via Delegation in Human-AI Hybrid Systems. - Luca Giamattei, Roberto Pietrantuono, Stefano Russo:
Reasoning-Based Software Testing. - Keiko Yamaguchi, Satoshi Takahashi:
In-the-wild vibrotactile sensation: Perceptual transformation of vibrations from smartphones. - Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin:
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition. - Kai Mo, Yuhong Deng, Chongkun Xia, Xueqian Wang:
Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics. - Rui Zhao, Wei Li, Zhipeng Hu, Lincheng Li, Zhengxia Zou, Zhenwei Shi, Changjie Fan:
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation. - Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He:
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. - Patrick Holthaus:
Interactive robots as inclusive tools to increase diversity in higher education. - Chen Chen, Jie Fu, Lingjuan Lyu:
A Pathway Towards Responsible AI Generated Content. - Wanli Ma, Weiyang Ding, Yimin Wei:
Noda Iteration for Computing Generalized Tensor Eigenpairs. - Minh Nguyen, Roly Perera, Meng Wang, Steven Ramsay:
Effects and Effect Handlers for Programmable Inference. - Tingrui Zhang, Jingping Wang, Chao Xu, Alan Gao, Fei Gao:
Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization. - Benjamin Joffe, Konrad Ahlin:
Canonical mapping as a general-purpose object descriptor for robotic manipulation. - Yüksel Oguz, Etienne Boursier, Nicolas Flammarion:
Model agnostic methods meta-learn despite misspecifications. - Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. - Marcel Schweitzer:
Sensitivity of matrix function based network communicability measures: Computational methods and a priori bounds. - Zefa Hu, Xiuyi Chen, Haoran Wu, Minglun Han, Ziyi Ni, Jing Shi, Shuang Xu, Bo Xu:
Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding. - Ario Sadafi, Nassir Navab, Carsten Marr:
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning. - Katarina Stanojevic, Martin Steinberger, Martin Horn:
Switched Lyapunov Function based Controller Synthesis for Networked Control Systems: A Computationally Inexpensive Approach. - Halid Abdulrahim Kadi, Kasim Terzic:
PlaNet-Pick: Effective Cloth Flattening Based on Latent Dynamic Planning. - Zikang Xiong, Joe Eappen, Daniel Lawson, Ahmed H. Qureshi, Suresh Jagannathan:
Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints. - Yewei Song, Saad Ezzini, Jacques Klein, Tegawendé F. Bissyandé, Clément Lefebvre, Anne Goujon:
Letz Translate: Low-Resource Machine Translation for Luxembourgish. - Cezar-Constantin Andrici, Catalin Hritcu, Guido Martínez, Exequiel Rivas, Théo Winterhalter:
Securely Compiling Verified F* Programs With IO. - Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. - Christian Lanegger, Michael Pantic, Rik Bähnemann, Roland Siegwart, Lionel Ott:
Chasing Millimeters: Design, Navigation and State Estimation for Precise In-flight Marking on Ceilings. - Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre, Arnaud Woiselle:
Deep-NFA: a Deep a contrario Framework for Small Object Detection. - Francis R. Bach:
High-dimensional analysis of double descent for linear regression with random projections. - Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr:
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification. - Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz:
A Vision for Semantically Enriched Data Science. - Christos K. Verginis:
Planning and Control of Uncertain Cooperative Mobile Manipulator-Endowed Systems under Temporal-Logic Tasks. - Xijun Wang, Mengjie Yi, Juan Liu, Yan Zhang, Meng Wang, Bo Bai:
Cooperative Data Collection with Multiple UAVs for Information Freshness in the Internet of Things. - Tong Wei, Weiyang Ding, Yimin Wei:
Singular Value Decomposition of Dual Matrices and its Application to Traveling Wave Identification in the Brain. - Benjamin Estermann, Roger Wattenhofer:
DAVA: Disentangling Adversarial Variational Autoencoder. - Quintino Francesco Lotito, Federico Musciotto, Alberto Montresor, Federico Battiston:
Hyperlink communities in higher-order networks. - Simone Asci, Angadh Nanjangud:
Leveraging Symbolic Algebra Systems to Simulate Contact Dynamics in Rigid Body Systems. - Petr Bobák, Ladislav Cmolík, Martin Cadík:
Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-feature Label Placement. - Hongyao Tang, Min Zhang, Jianye Hao:
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting. - Diptangshu Sen, Arnob Ghosh:
Pricing in Ride-sharing Markets : Effects of network competition and autonomous vehicles. - Zongtao He, Liuyi Wang, Shu Li, Qingqing Yan, Chengju Liu, Qijun Chen:
MLANet: Multi-Level Attention Network with Sub-instruction for Continuous Vision-and-Language Navigation. - Mahdi Hejrati, Jouni Mattila:
Nonlinear Subsystem-based Adaptive Impedance Control of Physical Human-Robot-Environment Interaction in Contact-rich Tasks. - Sayan Bandyapadhyay, Fedor V. Fomin, Tanmay Inamdar:
Coresets for Clustering in Geometric Intersection Graphs. - Shrey Pareek, Thenkurussi Kesavadas:
iART: Learning from Demonstration for Assisted Robotic Therapy Using LSTM. - Peiran Yao, Matej Kosmajac, Abeer Waheed, Kostyantyn Guzhva, Natalie Hervieux, Denilson Barbosa:
NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools. - Damian Machlanski, Spyridon Samothrakis, Paul Clarke:
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation. - Kilian Grage, Klaus Jansen, Felix Ohnesorge:
Improved Algorithms for Monotone Moldable Job Scheduling using Compression and Convolution. - Ivan Skorokhodov, Aliaksandr Siarohin, Yinghao Xu, Jian Ren, Hsin-Ying Lee, Peter Wonka, Sergey Tulyakov:
3D generation on ImageNet. - Peter Sanders, Daniel Seemaier:
Distributed Deep Multilevel Graph Partitioning. - Yonatan Shafir, Guy Tevet, Roy Kapon, Amit H. Bermano:
Human Motion Diffusion as a Generative Prior. - Madison Van Dyk, Jochen Könemann:
Dynamic discretization discovery under hard node storage constraints. - Lorenz Wellhausen, Marco Hutter:
ArtPlanner: Robust Legged Robot Navigation in the Field. - Guangyue Peng, Tao Ge, Si-Qing Chen, Furu Wei, Houfeng Wang:
Semiparametric Language Models Are Scalable Continual Learners. - Sriyash Poddar, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
From Crowd Motion Prediction to Robot Navigation in Crowds. - Sidharth Talia, Arnav Thareja, Christoforos I. Mavrogiannis, Matt Schmittle, Siddhartha S. Srinivasa:
PuSHR: A Multirobot System for Nonprehensile Rearrangement. - Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio:
Optimal transfer protocol by incremental layer defrosting. - Mark Roman Miller, Eugy Han, Cyan DeVeaux, Eliot Jones, Ryan Chen, Jeremy N. Bailenson:
A Large-Scale Study of Personal Identifiability of Virtual Reality Motion Over Time. - Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett:
WiCE: Real-World Entailment for Claims in Wikipedia. - Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong:
Do Machine Learning Models Learn Common Sense? - Subroto Nag Pinku, Debajyoti Mondal, Chanchal K. Roy:
Pathways to Leverage Transcompiler based Data Augmentation for Cross-Language Clone Detection. - Jimmy Xin, Linus Zheng, Jiayi Wei, Kia Rahmani, Jarrett Holtz, Isil Dillig, Joydeep Biswas:
PLUNDER: Probabilistic Program Synthesis for Learning from Unlabeled and Noisy Demonstrations. - Jorge de Heuvel, Weixian Shi, Xiangyu Zeng, Maren Bennewitz:
Subgoal-Driven Navigation in Dynamic Environments Using Attention-Based Deep Reinforcement Learning. - Christopher Leet, Chanwook Oh, Michele Lora, Sven Koenig, Pierluigi Nuzzo:
Co-Design of Topology, Scheduling, and Path Planning in Automated Warehouses. - Anders Aamand, Justin Y. Chen, Huy Lê Nguyen, Sandeep Silwal:
Improved Space Bounds for Learning with Experts. - Kyle Morgenstein, Junfeng Jiao, Luis Sentis:
Learning Contact-based Navigation in Crowds. - Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro:
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks. - Sebastian Löbbers, Mathieu Barthet, György Fazekas:
AI as mediator between composers, sound designers, and creative media producers. - Giacomo Elefante, Alvise Sommariva, Marco Vianello:
Compressed QMC volume and surface integration on union of balls. - Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro:
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization. - Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour:
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. - Anuj Rai, Somnath Dey, Pradeep Patidar, Prakhar Rai:
MoSFPAD: An end-to-end Ensemble of MobileNet and Support Vector Classifier for Fingerprint Presentation Attack Detection. - Mohamed Moustafa, Amr Elrasad, Joseph Lemley, Peter Corcoran:
Dataset Creation Pipeline for Camera-Based Heart Rate Estimation. - Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever:
Consistency Models. - Sergio Caucao, Johann Esparza:
An augmented mixed FEM for the convective Brinkman-Forchheimer problem: a priori and a posteriori error analysis. - Pierre Ohlmann, Michal Pilipczuk, Szymon Torunczyk, Wojciech Przybyszewski:
Canonical decompositions in monadically stable and bounded shrubdepth graph classes. - Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao:
Over-training with Mixup May Hurt Generalization. - Kent Quanrud:
Faster exact and approximation algorithms for packing and covering matroids via push-relabel. - Jiaming Zhang, Ruiping Liu, Hao Shi, Kailun Yang, Simon Reiß, Kunyu Peng, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen:
Delivering Arbitrary-Modal Semantic Segmentation. - Arjun Gupta, Max E. Shepherd, Saurabh Gupta:
Predicting Motion Plans for Articulating Everyday Objects. - Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney:
Understanding plasticity in neural networks. - Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn:
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning. - Marcos Zampieri, Kai North, Tommi Jauhiainen, Mariano Felice, Neha Kumari, Nishant Nair, Yash Bangera:
Language Variety Identification with True Labels. - Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu:
Image as Set of Points. - Siddhant Haldar, Jyothish Pari, Anant Rai, Lerrel Pinto:
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations. - Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, Stefanos Zafeiriou:
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges. - Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell:
Dropout Reduces Underfitting. - Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig:
Computational Language Acquisition with Theory of Mind. - Rongyao Fang, Peng Gao, Aojun Zhou, Yingjie Cai, Si Liu, Jifeng Dai, Hongsheng Li:
FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation. - Shangxi Wu, Qiuyang He, Fangzhao Wu, Jitao Sang, Yaowei Wang, Changsheng Xu:
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias. - Dan Liu, Xue Liu:
Ternary Quantization: A Survey. - Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang:
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. - Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao:
Defending against Adversarial Audio via Diffusion Model. - Shijun Wang, Jón Guðnason, Damian Borth:
Fine-grained Emotional Control of Text-To-Speech: Learning To Rank Inter- And Intra-Class Emotion Intensities. - Anik Mallik, Haoxin Wang, Jiang (Linda) Xie, Dawei Chen, Kyungtae Han:
EPAM: A Predictive Energy Model for Mobile AI. - Yinuo Zhang, Zhulin Tao, Xi Wang, Tongyue Wang:
INO at Factify 2: Structure Coherence based Multi-Modal Fact Verification. - Mahed Abroshan, Oscar Giles, Sam F. Greenbury, Jack Roberts, Mihaela van der Schaar, Jannetta S. Steyn, Alan Wilson, May Yong:
Learning machines for health and beyond. - Yiqing Liang, Eliot Laidlaw, Alexander Meyerowitz, Srinath Sridhar, James Tompkin:
Semantic Attention Flow Fields for Dynamic Scene Decomposition. - Lennart Brocki, Neo Christopher Chung:
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators. - Paria Mehrani, John K. Tsotsos:
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention. - Guangyao Shi, Pratap Tokekar:
Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem. - Sichao Li, Sean Banerjee, Natasha Kholgade Banerjee, Soumyabrata Dey:
Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images. - Pengcheng Wu, Sonia Martínez, Jun Chen:
Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties. - Khushboo Rani, Hansika Weerasena, Stephen A. Butler, Subodha Charles, Prabhat Mishra:
Modeling and Exploration of Gain Competition Attacks in Optical Network-on-Chip Architectures. - Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas, Giorgos Stamou:
Counterfactual Edits for Generative Evaluation. - Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchDirect: A Directed Language Model for Compiler Benchmarks. - Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Improving GAN Training via Feature Space Shrinkage. - Francesco Di Fiore, Michela Nardelli, Laura Mainini:
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal. - Ilshat Sagitov, Charles Pillet, Alexios Balatsoukas-Stimming, Pascal Giard:
Successive-Cancellation Flip Decoding of Polar Codes with a Simplified Restart Mechanism. - Achkan Salehi, Stéphane Doncieux:
Data-efficient, Explainable and Safe Payload Manipulation: An Illustration of the Advantages of Physical Priors in Model-Predictive Control. - Matthias Rath, Alexandru Paul Condurache:
Deep Neural Networks with Efficient Guaranteed Invariances. - Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna:
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform. - Soojung Yang, Rafael Gómez-Bombarelli:
Chemically Transferable Generative Backmapping of Coarse-Grained Proteins. - Nadia Creignou, Frédéric Olive, Johannes Schmidt:
Complexity of Reasoning with Cardinality Minimality Conditions. - Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. - Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert:
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. - Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang:
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction. - Da Song, Zhijie Wang, Yuheng Huang, Lei Ma, Tianyi Zhang:
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models. - Derek Chen, Celine Lee, Yunan Lu, Domenic Rosati, Zhou Yu:
Mixture of Soft Prompts for Controllable Data Generation. - Iason Katsamenis, Eftychios Protopapadakis, Nikolaos Bakalos, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation. - Noah Barrett, Zahra Sadeghi, Stan Matwin:
Evolutionary Augmentation Policy Optimization for Self-supervised Learning. - Qiaozi Gao, Govind Thattai, Xiaofeng Gao, Suhaila Shakiah, Shreyas Pansare, Vasu Sharma, Gaurav S. Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zheng, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Cadence Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Yadunandana Rao, Michael Johnston, Reza Ghanadan, Arindam Mandal, Dilek Hakkani-Tür, Prem Natarajan:
Alexa Arena: A User-Centric Interactive Platform for Embodied AI. - Xijun Wang, Ruiqi Xian, Tianrui Guan, Celso M. de Melo, Stephen M. Nogar, Aniket Bera, Dinesh Manocha:
AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning. - Jason Piquenot, Aldo Moscatelli, Maxime Bérar, Pierre Héroux, Jean-Yves Ramel, Romain Raveaux, Sébastien Adam:
Technical report: Graph Neural Networks go Grammatical. - Asaf Yehudai, Matan Vetzler, Yosi Mass, Koren Lazar, Doron Cohen, Boaz Carmeli:
QAID: Question Answering Inspired Few-shot Intent Detection. - Adrian Delchev, Ioannis Sfyrakis, Ellis Solaiman:
Developing a Compiler for EROP - A Language for the Specification of Smart Contracts, An Experience Report. - Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. - Cheng Jiang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon:
Hierarchical discriminative learning improves visual representations of biomedical microscopy. - Artur Podobas:
Q2Logic: An Coarse-Grained Architecture targeting Schrödinger Quantum Circuit Simulations. - Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang:
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. - Anushri Dixit, David D. Fan, Kyohei Otsu, Sharmita Dey, Ali-Akbar Agha-Mohammadi, Joel W. Burdick:
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge.