thuml / LogMELinks
Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)
☆209Updated last year
Alternatives and similar repositories for LogME
Users that are interested in LogME are comparing it to the libraries listed below
Sorting:
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆115Updated 3 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 3 years ago
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆267Updated 3 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)☆110Updated 3 years ago
- [ICLR 2022] Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention☆192Updated 2 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆444Updated 2 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated last month
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated 2 years ago
- ☆157Updated 3 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆135Updated 2 years ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆161Updated 2 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆137Updated 11 months ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆112Updated 3 years ago
- ☆106Updated last year
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated 2 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)☆252Updated 8 months ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 2 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆100Updated 9 months ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆590Updated last month
- PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"☆238Updated 2 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆217Updated last year
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆148Updated 3 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆234Updated 2 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- ☆118Updated last year
- Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)☆529Updated 3 years ago