Papers
8,340 papers found
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du et al.
Better Training of GFlowNets with Local Credit and Incomplete Trajectories
Ling Pan, Nikolay Malkin, Dinghuai Zhang et al.
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
Wesley A Suttle, Amrit Bedi, Bhrij Patel et al.
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Erlin Pan, Zhao Kang
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Christian Tomani, Futa Kai Waseda, Yuesong Shen et al.
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
Zhengmian Hu, Xidong Wu, Heng Huang
Beyond Reward: Offline Preference-guided Policy Optimization
Yachen Kang, Diyuan Shi, Jinxin Liu et al.
Beyond the Edge of Stability via Two-step Gradient Updates
Lei Chen, Joan Bruna
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
Simone Bombari, Shayan Kiyani, Marco Mondelli
Beyond Uniform Lipschitz Condition in Differentially Private Optimization
Rudrajit Das, Satyen Kale, Zheng Xu et al.
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin, Mingyuan Zhang, Yifu Ding et al.
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou et al.
Bidirectional Learning for Offline Model-based Biological Sequence Design
Can Chen, Yingxue Zhang, Xue Liu et al.
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
Yineng Chen, Zuchao Li, Lefei Zhang et al.
Bi-directional Masks for Efficient N:M Sparse Training
Yuxin Zhang, Yiting Luo, Mingbao Lin et al.
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Max Schwarzer, Johan Samir Obando Ceron, Aaron Courville et al.
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
Kishaan Jeeveswaran, Prashant Shivaram Bhat, Bahram Zonooz et al.
Bit Allocation using Optimization
Tongda Xu, Han Gao, Chenjian Gao et al.
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers et al.
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
Miruna Oprescu, Jacob Dorn, Marah Ghoummaid et al.
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li, Dongxu Li, Silvio Savarese et al.
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
Oleg Balabanov, Matthias Beaupère, Laura Grigori et al.
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo et al.