Papers
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng, Zehua Chen, Junliang Guo et al.
Biological Learning of Irreducible Representations of Commuting Transformations
Alexander Genkin, David Lipshutz, Siavash Golkar et al.
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
Jianchuan Ding, Bo Dong, Felix Heide et al.
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
Yuhan Helena Liu, Stephen Smith, Stefan Mihalas et al.
Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources
Bariscan Bozkurt, Cengiz Pehlevan, Alper Erdogan
Biologically plausible solutions for spiking networks with efficient coding
Veronika Koren, Stefano Panzeri
BiT: Robustly Binarized Multi-distilled Transformer
Zechun Liu, Barlas Oguz, Aasish Pappu et al.
Blackbox Attacks via Surrogate Ensemble Search
Zikui Cai, Chengyu Song, Srikanth Krishnamurthy et al.
Black-box coreset variational inference
Dionysis Manousakas, Hippolyt Ritter, Theofanis Karaletsos
Black-Box Generalization: Stability of Zeroth-Order Learning
Konstantinos Nikolakakis, Farzin Haddadpour, Dionysis Kalogerias et al.
Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
Jianhao Ma, Salar Fattahi
Block-Recurrent Transformers
DeLesley Hutchins, Imanol Schlag, Yuhuai Wu et al.
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Thomas Chau, Łukasz Dudziak, Hongkai Wen et al.
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling
Yizhao Gao, Nanyi Fei, Haoyu Lu et al.
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Bo Liu, Mao Ye, Stephen Wright et al.
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu, Yingtong Dou, Yue Zhao et al.
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness
Avrim Blum, Omar Montasser, Greg Shakhnarovich et al.
Boosting Out-of-distribution Detection with Typical Features
Yao Zhu, YueFeng Chen, Chuanlong Xie et al.
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs
Hao Xiong, Yangxiao Lu, Nicholas Ruozzi
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Zeyu Qin, Yanbo Fan, Yi Liu et al.
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang, Hanye Zhao, Xufang Luo et al.
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity
Yiheng Lin, Yang Hu, Guannan Qu et al.
Bounding and Approximating Intersectional Fairness through Marginal Fairness
Mathieu Molina, Patrick Loiseau
Brain Network Transformer
Xuan Kan, Wei Dai, Hejie Cui et al.