Alternatives and similar repositories for SimiFeat:

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

• UCSC-REAL / negative-label-smoothing
  [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
  ☆96Updated 2 years ago
• 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/.
  ☆173Updated last year
• weijiaheng / Robust-f-divergence-measures
  [ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
  ☆67Updated 2 years ago
• UCSC-REAL / CAL
  A Second-Order Approach to Learning with Instance-Dependent Label Noise (CVPR'21 oral)
  ☆42Updated 2 years ago
• shihongl1998 / LLM-as-a-blackbox-optimizer
  ☆63Updated 3 weeks ago
• yxymessi / H2E-Framework
  [ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution
  ☆72Updated 2 years ago
• weijiaheng / Drops
  [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
  ☆34Updated last year
• 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 / 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
• Jianf-Wang / RSG
  A Pytorch implementation of CVPR 2021 paper "RSG: A Simple but Effective Module for Learning Imbalanced Datasets"
  ☆106Updated 3 years ago
• OatmealLiu / class-iNCD
  PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)
  ☆119Updated 6 months ago
• Justherozen / ProMix
  [IJCAI 2023] ProMix: Combating Label Noise via Maximizing Clean Sample Utility
  ☆78Updated 10 months ago
• Wangt-CN / IP-IRM
  [NeurIPS 2021 Spotlight] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"
  ☆121Updated last year
• OatmealLiu / MSc-iNCD
  [ICPR'24 Oral] Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
  ☆43Updated 8 months ago
• wangren09 / MetaAdv
  ☆58Updated last year
• YangLinyi / GLUE-X
  We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that …
  ☆94Updated last year
• weijiaheng / Credible-sample-elicitation
  [AISTATS2021] Official implementation of "Sample Elicitation"
  ☆29Updated 3 years ago
• wyu97 / permgen
  Author: Wenhao Yu (wyu1@nd.edu). EMNLP'21. Sentence-Permuted Paragraph Generation.
  ☆31Updated 3 years ago
• Jianf-Wang / NP-Match
  A Pytorch implementation of ICML 2022 paper "NP-Match: When Neural Processes meet Semi-Supervised Learning"
  ☆99Updated last year
• jzhoubu / vsearch
  An Extensible Framework for Retrieval-Augmented LLM Applications: Learning Relevance Beyond Simple Similarity.
  ☆39Updated 3 months ago
• howard-hou / BagFormer
  PyTorch code for BagFormer: Better Cross-Modal Retrieval via bag-wise interaction
  ☆97Updated 2 years ago
• darkpromise98 / IAA
  [TMM-2022] Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning, IEEE Transactions on Multimedia (T-MM), 2…
  ☆29Updated last year
• OPTML-Group / BiP
  [NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Min…
  ☆117Updated last year
• Luodian / Generalizable-Mixture-of-Experts
  GMoE could be the next backbone model for many kinds of generalization task.
  ☆269Updated 2 years ago
• yaoching0 / GaC
  ☆46Updated 5 months ago
• hccngu / MLADA
  ☆64Updated 3 years ago
• longyuewangdcu / Document-MT-LLM
  ☆100Updated last year
• ChongjianGE / CARE
  [NeurIPS 2021] Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
  ☆110Updated 3 years ago
• YuehuaZhu / ProxyGML
  Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)
  ☆56Updated 3 years ago
• dvlab-research / BAL
  BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation
  ☆37Updated last year