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 |
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts
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2023 |
Balcan, Maria-Florina F |
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
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2023 |
Desai, Aditya |
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
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2023 |
Schwarz, Katja |
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
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2023 |
Wei, Rongzhe |
Learning dynamics of deep linear networks with multiple pathways
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2023 |
Shi, Jianghong |
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
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2023 |
Jia, Shuai |
On the generalization of learning algorithms that do not converge
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2023 |
Chandramoorthy, Nisha |
A Unifying Framework for Online Optimization with Long-Term Constraints
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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 |