rhebbalaguppe / CalibrationXferViaKD
The repository contains the code for "Calibration Transfer Via Knowledge Distillation". The paper is accepted as ORAL presentation in ACCV 2024.
☆11Updated 4 months ago
Alternatives and similar repositories for CalibrationXferViaKD:
Users that are interested in CalibrationXferViaKD are comparing it to the libraries listed below
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆558Updated last year
- A repository and benchmark for online test-time adaptation.☆208Updated 3 months ago
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆59Updated 4 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆454Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆35Updated 3 months ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆420Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆105Updated last year
- ☆12Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆202Updated 8 months ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆33Updated 6 months ago
- ☆107Updated last year
- A simple and effective method for detecting out-of-distribution images in neural networks.☆537Updated 3 years ago
- ☆66Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆134Updated last year
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆90Updated last year
- ☆35Updated 3 years ago
- Active Label Correction for Semantic Segmentation with Foundation Models☆12Updated 3 weeks ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆343Updated 5 years ago
- ☆11Updated 2 years ago
- A clean and simple data loading library for Continual Learning☆424Updated last year
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆117Updated last year
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆15Updated 10 months ago
- B-cos Networks: Alignment is All we Need for Interpretability☆107Updated last year
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆199Updated 9 months ago
- Build PyTorch CIFAR100 using coarse labels☆38Updated 4 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆261Updated 3 years ago
- Official implementation of "On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning"☆15Updated 2 years ago
- Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/☆206Updated 2 years ago
- Concept Bottleneck Models, ICML 2020☆189Updated last year