Sequential Bayesian Experimental Design with Variable Cost Structure
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2021 |
Zheng, Sue |
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
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2021 |
Dai, Zihang |
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
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2021 |
Jalalzai, Hamid |
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards
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2021 |
Guo, Yijie |
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
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2021 |
Chenthamarakshan, Vijil |
PAC-Bayes Learning Bounds for Sample-Dependent Priors
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2021 |
Awasthi, Pranjal |
Influence-Augmented Online Planning for Complex Environments
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2021 |
He, Jinke |
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
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2021 |
Li, Pan |
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
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2021 |
Wilson, Andrew G |
Generative View Synthesis: From Single-view Semantics to Novel-view Images
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2021 |
Amberbir Habtegebrial, Tewodros |
Towards More Practical Adversarial Attacks on Graph Neural Networks
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2021 |
Ma, Jiaqi |
Deep Variational Instance Segmentation
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2021 |
Yuan, Jialin |
Improved Algorithms for Convex-Concave Minimax Optimization
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2021 |
Wang, Yuanhao |
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
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2021 |
Udrescu, Silviu-Marian |
Fairness with Overlapping Groups; a Probabilistic Perspective
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2021 |
Yang, Forest |
Adaptive Reduced Rank Regression
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2021 |
Wu, Qiong |
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
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2021 |
van der Pol, Elise |
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms
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2021 |
Xu, Tengyu |
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
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2021 |
Bassily, Raef |
Reward-rational (implicit) choice: A unifying formalism for reward learning
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2021 |
Jeon, Hong Jun |