Papers
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Guangyu Shen, Yingqi Liu, Guanhong Tao et al.
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
Yukun Yang, Wenrui Zhang, Peng Li
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
Weizhen Qi, Yeyun Gong, Jian Jiao et al.
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar, Li Jing, Ishan Misra et al.
BASE Layers: Simplifying Training of Large, Sparse Models
Mike Lewis, Shruti Bhosale, Tim Dettmers et al.
BASGD: Buffered Asynchronous SGD for Byzantine Learning
Yi-Rui Yang, Wu-Jun Li
Batch Value-function Approximation with Only Realizability
Tengyang Xie, Nan Jiang
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
Willie Neiswanger, Ke Alexander Wang, Stefano Ermon
Bayesian Attention Belief Networks
Shujian Zhang, Xinjie Fan, Bo Chen et al.
Bayesian Deep Learning via Subnetwork Inference
Erik Daxberger, Eric Nalisnick, James U Allingham et al.
Bayesian Optimistic Optimisation with Exponentially Decaying Regret
Hung Tran-The, Sunil Gupta, Santu Rana et al.
Bayesian Optimization over Hybrid Spaces
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Bayesian Quadrature on Riemannian Data Manifolds
Christian Fröhlich, Alexandra Gessner, Philipp Hennig et al.
Bayesian Structural Adaptation for Continual Learning
Abhishek Kumar, Sunabha Chatterjee, Piyush Rai
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Andrew Ross, Finale Doshi-Velez
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
Hao Liu, Minshuo Chen, Tuo Zhao et al.
Best Arm Identification in Graphical Bilinear Bandits
Geovani Rizk, Albert Thomas, Igor Colin et al.
Best Model Identification: A Rested Bandit Formulation
Leonardo Cella, Massimiliano Pontil, Claudio Gentile
Better Training using Weight-Constrained Stochastic Dynamics
Benedict Leimkuhler, Tiffany J Vlaar, Timothée Pouchon et al.
Beyond $log^2(T)$ regret for decentralized bandits in matching markets
Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
Gustavo Malkomes, Bolong Cheng, Eric H Lee et al.
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Wesley Chung, Valentin Thomas, Marlos C. Machado et al.
Bias-Free Scalable Gaussian Processes via Randomized Truncations
Andres Potapczynski, Luhuan Wu, Dan Biderman et al.
Bias-Robust Bayesian Optimization via Dueling Bandits
Johannes Kirschner, Andreas Krause