Grounding inductive biases in natural images: invariance stems from variations in data
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2022 |
Bouchacourt, Diane |
Compressive Visual Representations
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2022 |
Lee, Kuang-Huei |
Directed Graph Contrastive Learning
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2022 |
Tong, Zekun |
Decoupling the Depth and Scope of Graph Neural Networks
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2022 |
Zeng, Hanqing |
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
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2022 |
Tsai, Yu-Lin |
Bounds all around: training energy-based models with bidirectional bounds
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2022 |
Geng, Cong |
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
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2022 |
Lin, Hsin-Yi |
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
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2022 |
Pintor, Maura |
Uncertainty Quantification and Deep Ensembles
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2022 |
Rahaman, Rahul |
α-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
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2022 |
HE, JIABO |
How to transfer algorithmic reasoning knowledge to learn new algorithms?
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2022 |
Xhonneux, Louis-Pascal |
Fast Axiomatic Attribution for Neural Networks
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2022 |
Hesse, Robin |
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
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2022 |
Nitanda, Atsushi |
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
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2022 |
Liu, Guiliang |
Pipeline Combinators for Gradual AutoML
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2022 |
Baudart, Guillaume |
Predicting Molecular Conformation via Dynamic Graph Score Matching
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2022 |
Luo, Shitong |
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
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2022 |
Kamarthi, Harshavardhan |
CogView: Mastering Text-to-Image Generation via Transformers
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2022 |
Ding, Ming |
On learning sparse vectors from mixture of responses
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2022 |
Polyanskii, Nikita |
Reverse engineering learned optimizers reveals known and novel mechanisms
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2022 |
Maheswaranathan, Niru |