Papers
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos
Eleanor Batty, Matthew Whiteway, Shreya Saxena et al.
Better Exploration with Optimistic Actor Critic
Kamil Ciosek, Quan Vuong, Robert Loftin et al.
Better Transfer Learning with Inferred Successor Maps
Tamas Madarasz, Tim Behrens
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
Mahesh Chandra Mukkamala, Peter Ochs
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik, Reazul Hasan Russel
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization
Gautam Goel, Yiheng Lin, Haoyuan Sun et al.
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello Nieto, Markus Kängsepp et al.
Beyond the Single Neuron Convex Barrier for Neural Network Certification
Gagandeep Singh, Rupanshu Ganvir, Markus Püschel et al.
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Denis Mazur, Vage Egiazarian, Stanislav Morozov et al.
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover, Jiaming Song, Ashish Kapoor et al.
Biases for Emergent Communication in Multi-agent Reinforcement Learning
Tom Eccles, Yoram Bachrach, Guy Lever et al.
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
Rishidev Chaudhuri, Ila Fiete
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe, Marco Fraccaro, Valentin Liévin et al.
Blended Matching Pursuit
Cyrille Combettes, Sebastian Pokutta
Blind Super-Resolution Kernel Estimation using an Internal-GAN
Sefi Bell-Kligler, Assaf Shocher, Michal Irani
Block Coordinate Regularization by Denoising
Yu Sun, Jiaming Liu, Ulugbek Kamilov
Blocking Bandits
Soumya Basu, Rajat Sen, Sujay Sanghavi et al.
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
Joan Serrà, Santiago Pascual, Carlos Segura Perales
Bootstrapping Upper Confidence Bound
Botao Hao, Yasin Abbasi Yadkori, Zheng Wen et al.
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Jonas Kubilius, Martin Schrimpf, Kohitij Kar et al.
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
Chuan Guo, Ali Mousavi, Xiang Wu et al.
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Sitao Luan, Mingde Zhao, Xiao-Wen Chang et al.
Bridging Machine Learning and Logical Reasoning by Abductive Learning
Wang-Zhou Dai, Qiuling Xu, Yang Yu et al.
Budgeted Reinforcement Learning in Continuous State Space
Nicolas Carrara, Edouard Leurent, Romain Laroche et al.
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue et al.