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07/24/2023
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
For more than a decade, researchers have measured progress in object rec...
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11/28/2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Deep neural networks are susceptible to shortcut learning, using simple ...
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10/20/2022
On Feature Learning in the Presence of Spurious Correlations
Deep classifiers are known to rely on spurious features x2013 patterns w...
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04/06/2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Neural network classifiers can largely rely on simple spurious features,...
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06/24/2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Learning new tasks continuously without forgetting on a constantly chang...
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06/10/2021
Does Knowledge Distillation Really Work?
Knowledge distillation is a popular technique for training a small stude...
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06/15/2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Detecting out-of-distribution (OOD) data is crucial for robust machine l...
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12/30/2019
Semi-Supervised Learning with Normalizing Flows
Normalizing flows transform a latent distribution through an invertible ...
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07/17/2019
Subspace Inference for Bayesian Deep Learning
Bayesian inference was once a gold standard for learning with neural net...
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04/26/2019