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 |
VICE: Variational Interpretable Concept Embeddings
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2023 |
Muttenthaler, Lukas |
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
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2023 |
Montanaro, Antonio |
Improving Intrinsic Exploration with Language Abstractions
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2023 |
Mu, Jesse |
Explainable Reinforcement Learning via Model Transforms
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2023 |
Finkelstein, Mira |
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks
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2023 |
Tan, Zhi-Hao |