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
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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 |
Reinforcement learning for optimization of variational quantum circuit architectures
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2022 |
Ostaszewski, Mateusz |
Fast Certified Robust Training with Short Warmup
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2022 |
Shi, Zhouxing |
Improved Transformer for High-Resolution GANs
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2022 |
Zhao, Long |
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
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2022 |
Yang, Xue |
Relative Flatness and Generalization
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2022 |
Petzka, Henning |