Papers
Band-Limited Gaussian Processes: The Sinc Kernel
Felipe Tobar
Band-limited Training and Inference for Convolutional Neural Networks
Adam Dziedzic, John Paparrizos, Sanjay Krishnan et al.
Bandwidth Embeddings for Mixed-Bandwidth Speech Recognition
Gautam Mantena, Ozlem Kalinli, Ossama Abdel-Hamid et al.
BA-Net: Dense Bundle Adjustment Networks
Chengzhou Tang, Ping Tan
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling
Robert Logan, Nelson F. Liu, Matthew E. Peters et al.
Barrage of Random Transforms for Adversarially Robust Defense
Edward Raff, Jared Sylvester, Steven Forsyth et al.
BASNet: Boundary-Aware Salient Object Detection
Xuebin Qin, Zichen Zhang, Chenyang Huang et al.
BAS Web Services for Automatic Subtitle Creation and Anonymization
Florian Schiel, Thomas Kisler
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch, Joost van Amersfoort, Yarin Gal
Batch DropBlock Network for Person Re-Identification and Beyond
Zuozhuo Dai, Mingqiang Chen, Xiaodong Gu et al.
Batched Multi-armed Bandits Problem
Zijun Gao, Yanjun Han, Zhimei Ren et al.
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
Kevin K. Yang, Yuxin Chen, Alycia Lee et al.
Batch Policy Learning under Constraints
Hoang Le, Cameron Voloshin, Yisong Yue
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem
Nadav Merlis, Shie Mannor
Batch Weight for Domain Adaptation With Mass Shift
Mikolaj Binkowski, Devon Hjelm, Aaron Courville
Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes
Gunpil Hwang, Seohyeon Kim, Hyeon-Min Bae
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement
Minyoung Kim, Yuting Wang, Pritish Sahu et al.
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Francis Song, Edward Hughes et al.
Bayesian Adaptive Superpixel Segmentation
Roy Uziel, Meitar Ronen, Oren Freifeld
Bayesian Batch Active Learning as Sparse Subset Approximation
Robert Pinsler, Jonathan Gordon, Eric Nalisnick et al.
Bayesian Combination of Probabilistic Classifiers using Multivariate Normal Mixtures
Gregor Pirš, Erik Štrumbelj
Bayesian Counterfactual Risk Minimization
Ben London, Ted Sandler
Bayesian Deconditional Kernel Mean Embeddings
Kelvin Hsu, Fabio Ramos
Bayesian Deep Collaborative Matrix Factorization
Teng Xiao, Shangsong Liang, Weizhou Shen et al.
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak, Lechao Xiao, Yasaman Bahri et al.