Issues

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

  distributionally robust optimization
  CompML/survey-distribution-shift#53 · Filter by author nocotan opened on May 31, 2021
  

• Evaluating Model Robustness and Stability to Dataset Shift

  covariate shiftstability analysis
  CompML/survey-distribution-shift#52 · Filter by author nocotan opened on May 26, 2021
  

• Large-Scale Methods for Distributionally Robust Optimization

  distributionally robust optimization
  CompML/survey-distribution-shift#50 · Filter by author nocotan opened on Mar 15, 2021
  

• Evaluating Model Robustness to Dataset Shift

  distributionally robust optimizationmeta analysis
  CompML/survey-distribution-shift#48 · Filter by author nocotan opened on Mar 9, 2021
  

• Robust Federated Learning: The Case of Affine Distribution Shifts

  generalization-bound
  CompML/survey-distribution-shift#43 · Filter by author nocotan opened on Feb 25, 2021
  

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

  out-of-distribution detection
  CompML/survey-distribution-shift#41 · Filter by author nocotan opened on Feb 25, 2021
  

• Certifiably Adversarially Robust Detection of Out-of-Distribution Data

  out-of-distribution detection
  CompML/survey-distribution-shift#40 · Filter by author nocotan opened on Feb 25, 2021
  

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

  out-of-distribution detection
  CompML/survey-distribution-shift#39 · Filter by author nocotan opened on Feb 25, 2021
  

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

  out-of-distribution detection
  CompML/survey-distribution-shift#38 · Filter by author nocotan opened on Feb 25, 2021
  

• Robust Correction of Sampling Bias using Cumulative Distribution Functions

  covariate shiftsampling bias
  CompML/survey-distribution-shift#36 · Filter by author nocotan opened on Feb 25, 2021
  

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

  sampling bias
  CompML/survey-distribution-shift#35 · Filter by author nocotan opened on Feb 25, 2021
  

• Self-training Avoids Using Spurious Features Under Domain Shift

  domain adaptation
  CompML/survey-distribution-shift#33 · Filter by author nocotan opened on Feb 25, 2021
  

• Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

  domain adaptation
  CompML/survey-distribution-shift#32 · Filter by author nocotan opened on Feb 25, 2021
  

• Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation

  domain adaptation
  CompML/survey-distribution-shift#31 · Filter by author nocotan opened on Feb 25, 2021
  

• Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

  CompML/survey-distribution-shift#30 · Filter by author nocotan opened on Feb 25, 2021

• Transferable Calibration with Lower Bias and Variance in Domain Adaptation

  domain adaptation
  CompML/survey-distribution-shift#29 · Filter by author nocotan opened on Feb 25, 2021
  

• Universal Domain Adaptation through Self-Supervision

  domain adaptation
  CompML/survey-distribution-shift#28 · Filter by author nocotan opened on Feb 25, 2021
  

• Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation

  domain adaptation
  CompML/survey-distribution-shift#27 · Filter by author nocotan opened on Feb 25, 2021
  

• Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation

  domain adaptation
  CompML/survey-distribution-shift#26 · Filter by author nocotan opened on Feb 25, 2021
  

• Domain Adaptation as a Problem of Inference on Graphical Models

  domain adaptation
  CompML/survey-distribution-shift#25 · Filter by author nocotan opened on Feb 25, 2021
  

• Your Classifier can Secretly Suffice Multi-Source Domain Adaptation

  domain adaptation
  CompML/survey-distribution-shift#24 · Filter by author nocotan opened on Feb 25, 2021
  

• Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

  domain adaptation
  CompML/survey-distribution-shift#23 · Filter by author nocotan opened on Feb 25, 2021
  

• Heuristic Domain Adaptation

  domain adaptation
  CompML/survey-distribution-shift#22 · Filter by author nocotan opened on Feb 24, 2021
  

• Why Normalizing Flows Fail to Detect Out-of-Distribution Data

  out-of-distribution detection
  CompML/survey-distribution-shift#20 · Filter by author nocotan opened on Feb 23, 2021
  

• Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder

  out-of-distribution detection
  CompML/survey-distribution-shift#19 · Filter by author nocotan opened on Feb 23, 2021