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2022 |
Brandfonbrener, David |
| Continuous vs. Discrete Optimization of Deep Neural Networks
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2022 |
Elkabetz, Omer |
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2022 |
Robinson, Joshua |
| Matrix encoding networks for neural combinatorial optimization
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2022 |
Kwon, Yeong-Dae |
| Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
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2022 |
Hsu, Joy |
| Continuous Latent Process Flows
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2022 |
Deng, Ruizhi |
| Domain Invariant Representation Learning with Domain Density Transformations
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2022 |
Nguyen, A. Tuan |
| Blending Anti-Aliasing into Vision Transformer
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2022 |
Qian, Shengju |
| Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
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2022 |
Fallah, Alireza |
| Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
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2022 |
Dutta, Subhabrata |
| Similarity and Matching of Neural Network Representations
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2022 |
Csiszárik, Adrián |
| On the Variance of the Fisher Information for Deep Learning
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2022 |
Soen, Alexander |
| Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
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2022 |
Chung, Hyunsoo |
| Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
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2022 |
Yu, Zhiding |
| See More for Scene: Pairwise Consistency Learning for Scene Classification
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2022 |
Chen, Gongwei |
| Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
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2022 |
Gan, Kyra |
| The Skellam Mechanism for Differentially Private Federated Learning
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2022 |
Agarwal, Naman |
| Noisy Recurrent Neural Networks
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2022 |
Lim, Soon Hoe |
| Distilling Object Detectors with Feature Richness
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2022 |
Zhixing, Du |
| Analysis of one-hidden-layer neural networks via the resolvent method
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2022 |
Piccolo, Vanessa |
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