Papers
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
Kai Xu, Akash Srivastava, Dan Gutfreund et al.
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee, Seungjae Shin, Heeyoung Kim
A Biased Graph Neural Network Sampler with Near-Optimal Regret
Qingru Zhang, David P. Wipf, Quan Gan et al.
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Runzhong Wang, Zhigang Hua, Gan Liu et al.
A/B/n Testing with Control in the Presence of Subpopulations
Yoan Russac, Christina Katsimerou, Dennis Bohle et al.
A/B Testing for Recommender Systems in a Two-sided Marketplace
Preetam Nandy, Divya Venugopalan, Chun Lo et al.
A Causal Lens for Controllable Text Generation
Zhiting Hu, Li Erran Li
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara, Brian Chmiel, Moshe Island et al.
Accelerating Quadratic Optimization with Reinforcement Learning
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato et al.
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
Jingfeng Wu, Vladimir Braverman, Lin Yang
Accumulative Poisoning Attacks on Real-time Data
Tianyu Pang, Xiao Yang, Yinpeng Dong et al.
Accurately Solving Rod Dynamics with Graph Learning
Han Shao, Tassilo Kugelstadt, Torsten Hädrich et al.
Accurate Point Cloud Registration with Robust Optimal Transport
Zhengyang Shen, Jean Feydy, Peirong Liu et al.
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
Alexandra Peste, Eugenia Iofinova, Adrian Vladu et al.
A Central Limit Theorem for Differentially Private Query Answering
Jinshuo Dong, Weijie Su, Linjun Zhang
AC-GC: Lossy Activation Compression with Guaranteed Convergence
R David Evans, Tor Aamodt
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke, Bing Liu, Nianzu Ma et al.
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
Valentin Delchevalerie, Adrien Bibal, Benoît Frénay et al.
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Anand Kalvit, Assaf J. Zeevi
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
Antonio Vergari, YooJung Choi, Anji Liu et al.
A Comprehensively Tight Analysis of Gradient Descent for PCA
Zhiqiang Xu, Ping Li
A Computationally Efficient Method for Learning Exponential Family Distributions
Abhin Shah, Devavrat Shah, Gregory Wornell
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Mingde Zhao, Zhen Liu, Sitao Luan et al.