1998v7

1998v7's Stars

• yassouali/awesome-semi-supervised-learning

  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

  1.8k6216227

• microsoft/ClimaX

  Foundation model for weather & climate

  Language:Python618263385

• LiJunnan1992/DivideMix

  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

  Language:Python54395384

• nimarb/pytorch_influence_functions

  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

  Language:Python31973271

• xjtushujun/meta-weight-net

  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

  Language:Python28271568

• hbzju/PiCO

  PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

  Language:Python2076735

• penghui-yang/awesome-data-poisoning-and-backdoor-attacks

  A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)

  1953018

• microsoft/MLC

  Meta Label Correction for Noisy Label Learning

  Language:Python8251521

• 1998v7/Self-Filtering

  Pytorch implementation for ECCV 2022 Paper “Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization”

  Language:Python44104

• takashiishida/comp

  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning

  Language:Python441216

• 1998v7/Advances-in-Partial-Label-Learning

  A list of awesome partial-label learning papers and codes.

  36102

• lms-07/CVSSN

  [TCSVT 2022] Official implementation for 'Exploring the Relationship between Center and Neighborhoods: Central Vector Oriented Self-Similarity Network for Hyperspectral Image Classification'

  Language:Python34221

• 1998v7/SNSCL

  Pytorch implementation for CVPR 2023 paper "Fine-Grianed Classification with Noisy Labels".

  Language:Python29110

• youjiangxu/FaMUS

  Language:Python29760

• lms-07/AMS-M2ESL

  [TGRS 2023] Official implementation for 'Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification'

  Language:Python24321

• vanillaer/CPL-ICML2024

  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data"

  Language:Python19222

• UCSC-REAL/SelfSup_NoisyLabel

  Learning from noisy labels via regularization between representations

  Language:Python11303

• zjfheart/BadLabels

  Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix

  Language:Python10230

• xpf/Multi-Level-MMD-Regularization

  Enhancing Backdoor Attacks with Multi-Level MMD Regularization

  Language:Python7102

• vanillaer/VLMs-Adversarial-Robustness

  3101

• 1998v7/Entropy-selection

  Pytorch implementation for SCIENTIA SINICA Informatioinis 2023 paper: A Joint Framework for Learning with Noisy Labels

  Language:Python2100

• 1998v7/ITEM

  Pytorch implementation of the paper "Debiased Sample Selection for Combating Noisy Labels"

  Language:Python2200

• githuberyh/SDM

  Converting Artificial Neural Networks to Ultra-Low-Latency Spiking Neural Networks for Action Recognition

  2110

• PunkMale/Learning-with-Noisy-Labels

  A paper list (updated monthly) about learning with noisy labels.

  1100

• Quantitative-Research-MLQin/fintech-literature

  Fintech literature, including journal, conference, book and useful links

  100

• xxLifeLover/MGAug

  The implementation of the MGAug method.

  Language:Python1110