ishida-lab / irreducibleLinks
[ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
☆21Updated 5 months ago
Alternatives and similar repositories for irreducible
Users that are interested in irreducible are comparing it to the libraries listed below
Sorting:
- [NeurIPS'23] Binary Classification with Confidence Difference☆10Updated last year
- This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of…☆17Updated 2 years ago
- This repo provides the codebase for "A General Framework for Weak Supervision"☆40Updated last year
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- ☆31Updated 8 months ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆63Updated last year
- ☆38Updated last year
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆27Updated 2 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆65Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆100Updated 2 years ago
- Self-Supervised Dataset Distillation for Transfer Learning☆17Updated last year
- ☆15Updated 4 years ago
- List of papers that combine self-supervision and continual learning☆75Updated 10 months ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Updated 4 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆43Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆23Updated last year
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆72Updated 3 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- Source code for NeurIPS 2022 paper SoLar☆30Updated 2 years ago
- ☆22Updated 4 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 3 years ago
- CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)☆28Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆64Updated 3 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆104Updated 4 years ago
- ☆30Updated 3 years ago