All Papers
34,598 papers found • Page 31 of 692
Conference
AssistanceZero: Scalably Solving Assistance Games
Cassidy Laidlaw, Eli Bronstein, Timothy Guo et al.
Association-Focused Path Aggregation for Graph Fraud Detection
Tian Qiu, Wenda Li, Zunlei Feng et al.
Association Pattern-enhanced Molecular Representation Learning
Lingxiang Jia, Yuchen Ying, Tian Qiu et al.
Associative memory and dead neurons
Vladimir Fanaskov, Ivan Oseledets
Associative Transformer
Yuwei Sun, Hideya Ochiai, Zhirong Wu et al.
A Stable Whitening Optimizer for Efficient Neural Network Training
Kevin Frans, Sergey Levine, Pieter Abbeel
A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
Sebastian Ojeda, Rafael Velasquez, Nicolás Aparicio et al.
A Statistical Approach for Controlled Training Data Detection
Zirui Hu, Yingjie Wang, Zheng Zhang et al.
A Statistical Framework for Ranking LLM-based Chatbots
Siavash Ameli, Siyuan Zhuang, Ion Stoica et al.
A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules
Xiang Li, Feng Ruan, Huiyuan Wang et al.
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
Licong Lin, Song Mei
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs
Wangbo Zhao, Yizeng Han, Jiasheng Tang et al.
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Minyoung Kim, Timothy Hospedales
A Stochastic Approach to the Subset Selection Problem via Mirror Descent
Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat et al.
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
Prakash Chandra Chhipa, Gautam Vashishtha, Jithamanyu Settur et al.
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
Tuan Truong, Rithwik Sudharsan, Yibo Yang et al.
AstroLoc: Robust Space to Ground Image Localizer
Gabriele Berton, Alex Stoken, Carlo Masone
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
Mengyang Sun, Yihao Wang, Tao Feng et al.
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy
Sebastian Joseph, Syed M. Husain, Stella Offner et al.
A Structure-aware and Motion-adaptive Framework for 3D Human Pose Estimation with Mamba
Ye Lu, Jie Wang, Jianjun Gao et al.
A Study of Multimodal Pen + Gaze Interaction Techniques for Shape Point Translation in Extended Reality
Uta Wagner, Jinwook Kim, Zhikun Wu et al.
A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering
Lucas Fabian Naumann, Jannik Irmai, Bjoern Andres
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Zhouhang Xie, Junda Wu, Yiran Shen et al.
A Sustainable AI Economy Needs Data Deals That Work for Generators
Ruoxi Jia, Luis Oala, Wenjie Xiong et al.
Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis
Yinan Li, Jun Long, Zhan Yang
Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence
zhaowei chen, Borui Zhao, Yuchen Ge et al.
Asymmetric Dual-Lens Video Deblurring
Zeyu Xiao, Xinchao Wang
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning
Remco Leijenaar, Hamidreza Kasaei
Asymmetric Duos: Sidekicks Improve Uncertainty
Tim G. Zhou, Evan Shelhamer, Geoff Pleiss
Asymmetric Factorized Bilinear Operation for Vision Transformer
Junjie Wu, Qilong Wang, Jiangtao Xie et al.
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring
Wen Yang, Jinjian Wu, Leida Li et al.
Asymmetric Learning for Spectral Graph Neural Networks
Fangbing Liu, Qing Wang
Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
Charles Arnal, Gaëtan Narozniak, Vivien Cabannes et al.
Asymmetric Reinforcing Against Multi-Modal Representation Bias
Xiyuan Gao, Bing Cao, Pengfei Zhu et al.
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
Yang Liu, Mengyuan Liu, Shudong Huang et al.
Asymptotically exact variational flows via involutive MCMC kernels
Zuheng (David) Xu, Trevor Campbell
Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
Tianwei Wang, Xinhui Ma, Wei Pang
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
Samet Demir, Zafer Dogan
Asymptotic Extinction in Large Coordination Games
Desmond Chan, Bart De Keijzer, Tobias Galla et al.
Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks
Luca Arnaboldi, Bruno Loureiro, Ludovic Stephan et al.
Asymptotic Theory of Geometric and Adaptive $k$-Means Clustering
Adam Quinn Jaffe
Asymptotic theory of SGD with a general learning-rate
Or Goldreich, Ziyang Wei, SOHAM BONNERJEE et al.
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Jiaxin Deng, Junbiao Pang, Baochang Zhang et al.
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
Wenhao SUN, Rong-Cheng Tu, Jingyi Liao et al.
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting
Zihao Han, Baoquan Zhang, Lisai Zhang et al.
Asynchronous Collaborative Graph Representation for Frames and Events
Dianze Li, Jianing Li, Xu Liu et al.
Asynchronous Distributed Gaussian Process Regression
Zewen Yang, Xiaobing Dai, Sandra Hirche
Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
Ruofei WANG, Peiqi Duan, Boxin Shi et al.
Asynchronous Federated Clustering with Unknown Number of Clusters
Yunfan Zhang, Yiqun Zhang, Yang Lu et al.
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Guangchen (Eric) Lan, Dong-Jun Han, Abolfazl Hashemi et al.