Papers
11,955 papers found
Avoiding spurious correlations via logit correction
Sheng Liu, Xu Zhang, Nitesh Sekhar et al.
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
Beren Millidge, Yuhang Song, Tommaso Salvatori et al.
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica et al.
Backstepping Temporal Difference Learning
Han-Dong Lim, Donghwan Lee
Bag of Tricks for Unsupervised Text-to-Speech
Yi Ren, Chen Zhang, Shuicheng YAN
BALTO: fast tensor program optimization with diversity-based active learning
Jun Bi, Xiaqing Li, Qi Guo et al.
Basic Binary Convolution Unit for Binarized Image Restoration Network
Bin Xia, Yulun Zhang, Yitong Wang et al.
Batch Multivalid Conformal Prediction
Christopher Jung, Georgy Noarov, Ramya Ramalingam et al.
Bayesian Oracle for bounding information gain in neural encoding models
Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker et al.
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
Yufei CUI, Ziquan Liu, Xiangyu Liu et al.
BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS
Jinchuan Tian, Brian Yan, Jianwei Yu et al.
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot, Amy Zhang, Dhruv Batra et al.
Become a Proficient Player with Limited Data through Watching Pure Videos
Weirui Ye, Yunsheng Zhang, Pieter Abbeel et al.
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
Fu-Yun Wang, Da-Wei Zhou, Liu Liu et al.
Behavior Prior Representation learning for Offline Reinforcement Learning
Hongyu Zang, Xin Li, Jie Yu et al.
Behavior Proximal Policy Optimization
Zifeng Zhuang, Kun LEI, Jinxin Liu et al.
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
Jianhao Ma, Lingjun Guo, Salar Fattahi
Benchmarking Constraint Inference in Inverse Reinforcement Learning
Guiliang Liu, Yudong Luo, Ashish Gaurav et al.
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Nico Gürtler, Sebastian Blaes, Pavel Kolev et al.
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
Kaiyue Wen, Jiaye Teng, Jingzhao Zhang
Better Generative Replay for Continual Federated Learning
Daiqing Qi, Handong Zhao, Sheng Li
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
Martin Zong, Zengyu Qiu, Xinzhu Ma et al.
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Keun Choe, Willie Neiswanger, Pengtao Xie et al.
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
Zehui Chen, Zhenyu Li, Shiquan Zhang et al.
Beyond calibration: estimating the grouping loss of modern neural networks
Alexandre Perez-Lebel, Marine Le Morvan, Gael Varoquaux