Alternatives and similar repositories for MetaAdv

Users that are interested in MetaAdv are comparing it to the libraries listed below

• OPTML-Group / Fast-BAT
  [ICML22] "Revisiting and Advancing Fast Adversarial Training through the Lens of Bi-level Optimization" by Yihua Zhang*, Guanhua Zhang*, …
  ☆65Updated 2 years ago
• weijiaheng / Robust-f-divergence-measures
  [ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
  ☆67Updated 2 years ago
• weijiaheng / Drops
  [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
  ☆34Updated last year
• wangren09 / TrojanNetDetector
  Practical Detection of Trojan Neural Networks
  ☆119Updated 4 years ago
• UCSC-REAL / CAL
  A Second-Order Approach to Learning with Instance-Dependent Label Noise (CVPR'21 oral)
  ☆42Updated 2 years ago
• weijiaheng / Multi-class-Peer-Loss-functions
  Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).
  ☆19Updated 2 years ago
• ForeverPs / Robust-Classification
  CVPR 2022 Workshop Robust Classification
  ☆78Updated 3 years ago
• wangren09 / RAILS
  Deep Learning - Robustness - Immune System
  ☆13Updated 4 years ago
• UCSC-REAL / negative-label-smoothing
  [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
  ☆97Updated 2 years ago
• 894346698 / Federated-Learning-Framework
  A framework for implementing federated learning
  ☆31Updated 4 years ago
• wangguanan / Pytorch-Basic-GANs
  Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
  ☆84Updated 6 years ago
• cuge1995 / IT-Defense
  Our code for paper 'The art of defense: letting networks fool the attacker', IEEE Transactions on Information Forensics and Security, 202…
  ☆10Updated 2 years ago
• Jianf-Wang / NP-Match
  A Pytorch implementation of ICML 2022 paper "NP-Match: When Neural Processes meet Semi-Supervised Learning"
  ☆98Updated last year
• UCSC-REAL / cifar-10-100n
  Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
  ☆172Updated 2 years ago
• weijiaheng / Credible-sample-elicitation
  [AISTATS2021] Official implementation of "Sample Elicitation"
  ☆29Updated 4 years ago
• OPTML-Group / BiP
  [NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Min…
  ☆117Updated 2 years ago
• OatmealLiu / MSc-iNCD
  [ICPR'24 Oral] Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
  ☆44Updated last year
• deep-real / TRO
  The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)
  ☆28Updated 3 months ago
• wangren09 / MCGR
  ☆33Updated 6 months ago
• tongzheng1992 / E-CNN-classifier
  This is the available code for the paper `An evidential classifier based on Dempster-Shafer theory and deep learning' (arXiv preprint arX…
  ☆72Updated 2 years ago
• Jinjiarui / DRSR
  Code for SIGIR'20 “A Deep Recurrent Survival Model for Unbiased Ranking”
  ☆43Updated last year
• UCSC-REAL / DuelGAN
  PyTorch Implementation of ECCV 2022 paper: "DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training".
  ☆39Updated 2 years ago
• geekinglcq / HRec
  Heterogeneous Recommendation
  ☆49Updated 3 years ago
• UCSC-REAL / DS2
  [ICLR 2025] Official implementation of paper "Improving Data Efficiency via Curating LLM-Driven Rating Systems"
  ☆97Updated 3 months ago
• qqlu / Sequential-Context-Encoding-for-Duplicate-Removal
  Sequential Context Encoding for Duplicate Removal
  ☆32Updated 5 years ago
• wgqtmac / DR-UDA
  This is the source code for paper "Unsupervised Adversarial Domain Adaptation for Cross-domain Face Presentation Attack Detection"
  ☆78Updated 3 years ago
• Jianf-Wang / RSG
  A Pytorch implementation of CVPR 2021 paper "RSG: A Simple but Effective Module for Learning Imbalanced Datasets"
  ☆107Updated 3 years ago
• yxymessi / H2E-Framework
  [ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution
  ☆73Updated 2 years ago
• jiaxiaojunQAQ / FGSM-LAW
  Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging (TIFS2024)
  ☆35Updated last year
• dvlab-research / BAL
  BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation
  ☆40Updated last year