A Dictionary Approach to Domain-Invariant Learning in Deep Networks
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2021 |
Wang, Ze |
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
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2021 |
Gan, Zhe |
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
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2021 |
Karalias, Nikolaos |
Autoregressive Score Matching
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2021 |
Meng, Chenlin |
Online Structured Meta-learning
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2021 |
Yao, Huaxiu |
What Makes for Good Views for Contrastive Learning?
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2021 |
Tian, Yonglong |
Sampling from a k-DPP without looking at all items
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2021 |
Calandriello, Daniele |
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
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2021 |
Wang, Wei |
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
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2021 |
Li, Gen |
Synthetic Data Generators - Sequential and Private
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2021 |
Bousquet, Olivier |
Uncertainty Quantification for Inferring Hawkes Networks
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2021 |
Wang, Haoyun |
Training Linear Finite-State Machines
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2021 |
Ardakani, Arash |
Self-Supervised Few-Shot Learning on Point Clouds
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2021 |
Sharma, Charu |
Understanding the Role of Training Regimes in Continual Learning
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2021 |
Mirzadeh, Seyed Iman |
Preference learning along multiple criteria: A game-theoretic perspective
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2021 |
Bhatia, Kush |
Generating Correct Answers for Progressive Matrices Intelligence Tests
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2021 |
Pekar, Niv |
Most ReLU Networks Suffer from ℓ2 Adversarial Perturbations
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2021 |
Daniely, Amit |
Bootstrapping neural processes
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2021 |
Lee, Juho |
On Correctness of Automatic Differentiation for Non-Differentiable Functions
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2021 |
Lee, Wonyeol |
Neural Controlled Differential Equations for Irregular Time Series
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2021 |
Kidger, Patrick |