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)
☆211Updated 2 years ago
Alternatives and similar repositories for LogME
Users that are interested in LogME are comparing it to the libraries listed below
Sorting:
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆225Updated last year
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆279Updated 4 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 6 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆459Updated 3 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆89Updated 4 years ago
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆116Updated 4 years ago
- ☆109Updated 2 years ago
- ☆162Updated 5 months ago
- Meta Label Correction for Noisy Label Learning☆87Updated 3 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Updated last year
- Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)☆112Updated 4 years ago
- Awesome Contrastive Learning for CV & NLP☆165Updated 4 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Updated 3 years ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆165Updated 3 years ago
- [ICLR 2022] Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention☆196Updated 3 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆284Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆290Updated 3 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆118Updated 5 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆35Updated 4 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 4 years ago
- ☆118Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300Updated 2 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆155Updated 3 years ago
- PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"☆242Updated 2 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆65Updated 3 years ago
- ☆491Updated last year
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆273Updated 2 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆474Updated 4 years ago