XixiLiu95

vit-cls_emb

Accompanying code for "Analyzing Vision Tranformers in Class Embedding Space" (NeurIPS '23)

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

NINCO

Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"

relabel_imagenet

SIRC

DOE

CNCE-matlab

vim

Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching

Robust-f-divergence-measures

[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"

fdistill

GJS

The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org/abs/2105.04522)

mdistiller

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

DARE-GRAM

[CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices

RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

KD_SRRL

neurips_2020_distillation

Code for "Self-Distillation as Instance-Specific Label Smoothing"

hyp_metric

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository

Optimal-Transport

🦆 A simple sinkhorn algorithm to solve optimal transport problem writen in Matlab

ICCV21_SCOOD

The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

ET-OOD

CVPR2023:Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection

understandingbdl

Equiangular-Basis-Vectors

cider

PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

nce-noise-var

The Optimal Noise in Noise-Contrastive Learning Is Not What You Think - UAI 2022

knn-ood

Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

BDMC

PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

DDAD

MICCAI 2022 (Early Accepted): Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays