Learning Fast-Inference Bayesian Networks
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2022 |
Peruvemba Ramaswamy, Vaidyanathan |
Handling Long-tailed Feature Distribution in AdderNets
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2022 |
Dong, Minjing |
Teaching an Active Learner with Contrastive Examples
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2022 |
Wang, Chaoqi |
Emergent Communication of Generalizations
|
2022 |
Mu, Jesse |
Deep Contextual Video Compression
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2022 |
Li, Jiahao |
On the Frequency Bias of Generative Models
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2022 |
Schwarz, Katja |
A Unified Approach to Fair Online Learning via Blackwell Approachability
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2022 |
Chzhen, Evgenii |
Training Neural Networks is ER-complete
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2022 |
Abrahamsen, Mikkel |
Conformal Bayesian Computation
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2022 |
Fong, Edwin |
Understanding the Under-Coverage Bias in Uncertainty Estimation
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2022 |
Bai, Yu |
The Image Local Autoregressive Transformer
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2022 |
Cao, Chenjie |
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
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2022 |
Zhang, Yizhen |
Decentralized Learning in Online Queuing Systems
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2022 |
Sentenac, Flore |
Online Variational Filtering and Parameter Learning
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2022 |
Campbell, Andrew |
Partition and Code: learning how to compress graphs
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2022 |
Bouritsas, Giorgos |
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
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2022 |
Katz-Samuels, Julian |
Image Generation using Continuous Filter Atoms
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2022 |
Wang, Ze |
BooVAE: Boosting Approach for Continual Learning of VAE
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2022 |
Egorov, Evgenii |
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
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2022 |
Thoppe, Gugan Chandrashekhar |
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
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2022 |
Chen, Minshuo |