ramneetk / iDECODe
AAAI, 2022
☆8Updated 3 months ago
Alternatives and similar repositories for iDECODe:
Users that are interested in iDECODe are comparing it to the libraries listed below
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 10 months ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 11 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated last year
- ☆42Updated 2 years ago
- ☆48Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- ☆22Updated 2 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆16Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆30Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- ☆30Updated 3 years ago
- Predicting Out-of-Distribution Error with the Projection Norm☆17Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 2 years ago
- ☆25Updated last year
- ☆12Updated last year
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆13Updated 2 years ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆12Updated 8 months ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆24Updated last year
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆19Updated 4 years ago
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated last year