Papers
Belief Propagation Neural Networks
Jonathan Kuck, Shuvam Chakraborty, Hao Tang et al.
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method
Simiao Ren, Willie Padilla, Jordan Malof
Benchmarking Deep Learning Interpretability in Time Series Predictions
Aya Abdelsalam Ismail, Mohamed Gunady, Hector Corrada Bravo et al.
BERT Loses Patience: Fast and Robust Inference with Early Exit
Wangchunshu Zhou, Canwen Xu, Tao Ge et al.
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren, Jure Leskovec
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
Zixuan Xu, Banghuai Li, Ye Yuan et al.
Better Full-Matrix Regret via Parameter-Free Online Learning
Ashok Cutkosky
Better Set Representations For Relational Reasoning
Qian Huang, Horace He, Abhay Singh et al.
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Robert Geirhos, Kristof Meding, Felix A. Wichmann
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu, Yujun Yan, Lingxiao Zhao et al.
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
Kaivalya Rawal, Himabindu Lakkaraju
Beyond Lazy Training for Over-parameterized Tensor Decomposition
Xiang Wang, Chenwei Wu, Jason Lee et al.
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
Shafi Goldwasser, Adam Tauman Kalai, Yael Kalai et al.
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
Jakob Lindinger, David Reeb, Christoph Lippert et al.
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Yifan Hu, Siqi Zhang, Xin Chen et al.
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei et al.
Bidirectional Convolutional Poisson Gamma Dynamical Systems
wenchao chen, Chaojie Wang, Bo Chen et al.
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey et al.
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky et al.
Bi-level Score Matching for Learning Energy-based Latent Variable Models
Fan Bao, Chongxuan LI, Kun Xu et al.
Biological credit assignment through dynamic inversion of feedforward networks
Bill Podlaski, Christian K. Machens
Biologically Inspired Mechanisms for Adversarial Robustness
Manish Reddy Vuyyuru, Andrzej Banburski, Nishka Pant et al.
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
Dinghuai Zhang, Mao Ye, Chengyue Gong et al.
Black-Box Optimization with Local Generative Surrogates
Sergey Shirobokov, Vladislav Belavin, Michael Kagan et al.
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu et al.