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2023 |
Castiglioni, Matteo |
| The least-control principle for local learning at equilibrium
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2023 |
Meulemans, Alexander |
| Knowledge Distillation from A Stronger Teacher
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2023 |
Huang, Tao |
| Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets
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2023 |
Cai, Ruisi |
| Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments
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2023 |
Chen, Liyu |
| A Unified Framework for Deep Symbolic Regression
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2023 |
Landajuela, Mikel |
| Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model
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2023 |
Zhang, Erchuan |
| Self-Supervised Learning via Maximum Entropy Coding
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2023 |
Liu, Xin |
| Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
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2023 |
Taesiri, Mohammad Reza |
| On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
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2023 |
Nordstrom, Marcus |
| Invariance-Aware Randomized Smoothing Certificates
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2023 |
Schuchardt, Jan |
| WeightedSHAP: analyzing and improving Shapley based feature attributions
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2023 |
Kwon, Yongchan |
| Optimizing Relevance Maps of Vision Transformers Improves Robustness
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2023 |
Chefer, Hila |
| Deep Ensembles Work, But Are They Necessary?
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2023 |
Abe, Taiga |
| Distributionally Robust Optimization with Data Geometry
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2023 |
Liu, Jiashuo |
| Random Normalization Aggregation for Adversarial Defense
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2023 |
Dong, Minjing |
| Near-Optimal Correlation Clustering with Privacy
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2023 |
Cohen-Addad, Vincent |
| ReCo: Retrieve and Co-segment for Zero-shot Transfer
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2023 |
Shin, Gyungin |
| A Boosting Approach to Reinforcement Learning
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2023 |
Brukhim, Nataly |
| When are Local Queries Useful for Robust Learning?
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2023 |
Gourdeau, Pascale |
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