Issues · CompML/survey-distribution-shift · GitHub

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[WIP] Robust solutions of optimization problems affected by uncertain probabilities

distributionally robust optimization

#53

· nocotan opened

on May 31, 2021

Evaluating Model Robustness and Stability to Dataset Shift

covariate shift

stability analysis

#52

· nocotan opened

on May 26, 2021

Large-Scale Methods for Distributionally Robust Optimization

distributionally robust optimization

#50

· nocotan opened

on Mar 15, 2021

Evaluating Model Robustness to Dataset Shift

distributionally robust optimization

#48

· nocotan opened

on Mar 9, 2021

Robust Federated Learning: The Case of Affine Distribution Shifts

generalization-bound

#43

· nocotan opened

on Feb 25, 2021

Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples

out-of-distribution detection

#41

· nocotan opened

on Feb 25, 2021

Certifiably Adversarially Robust Detection of Out-of-Distribution Data

out-of-distribution detection

#40

· nocotan opened

on Feb 25, 2021

OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification

out-of-distribution detection

#39

· nocotan opened

on Feb 25, 2021

On the Value of Out-of-Distribution Testing: An Example of Goodhart’s Law

out-of-distribution detection

#38

· nocotan opened

on Feb 25, 2021

Robust Correction of Sampling Bias using Cumulative Distribution Functions

covariate shift

#36

· nocotan opened

on Feb 25, 2021

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases

#35

· nocotan opened

on Feb 25, 2021

Self-training Avoids Using Spurious Features Under Domain Shift

domain adaptation

#33

· nocotan opened

on Feb 25, 2021