dengbaowang / Rethinking-Calibration-of-Deep-Neural-Networks

Related projects ⓘ

Alternatives and complementary repositories for Rethinking-Calibration-of-Deep-Neural-Networks

• dengbaowang / Mixup-Inference-in-Training
  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…
  ☆14Updated last year
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆42Updated last year
• m-Just / OoD-Bench
  ☆42Updated last year
• QizhouWang / DOE
  ☆25Updated last year
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆42Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆23Updated last year
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆54Updated last year
• deeplearning-wisc / vit-spurious-robustness
  ☆24Updated last year
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆39Updated last year
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated last year
• anshuln / Training-for-the-Future
  Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…
  ☆9Updated 2 years ago
• QizhouWang / MAIL
  source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training
  ☆10Updated 2 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆89Updated 4 years ago
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆52Updated 2 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆46Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆53Updated 2 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆35Updated 2 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆38Updated last year
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆50Updated 6 months ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆29Updated 2 years ago
• DQle38 / Fair-Feature-Distillation-for-Visual-Recognition
  Official implementation of paper 'Fair Feature Distillation for Visual Recognition'
  ☆14Updated 3 years ago
• Viperccc / RDIA
  ☆17Updated 2 years ago
• Ferenas / CAVL
  Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)
  ☆14Updated 2 years ago
• p3i0t / SimCLR-CIFAR10
  Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
  ☆55Updated 4 years ago
• db-Lee / selfsup_dd
  Self-Supervised Dataset Distillation for Transfer Learning
  ☆12Updated 7 months ago
• zhangq327 / ARC
  Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
  ☆27Updated 2 years ago