joshr17 / HCLLinks
ICLR 2021, Contrastive Learning with Hard Negative Samples
☆278Updated 4 years ago
Alternatives and similar repositories for HCL
Users that are interested in HCL are comparing it to the libraries listed below
Sorting:
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆458Updated 3 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆283Updated 2 years ago
- ☆162Updated 5 months ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆602Updated 6 months ago
- Awesome Contrastive Learning for CV & NLP☆165Updated 4 years ago
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆115Updated 3 years ago
- A list of contrastive Learning papers☆308Updated 3 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆158Updated 5 years ago
- Implementation of Multi-View Information Bottleneck☆134Updated 5 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆224Updated last year
- Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained…☆210Updated 2 years ago
- Meta Label Correction for Noisy Label Learning☆86Updated 3 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆79Updated last year
- Code for the paper "Contrastive Clustering" (AAAI 2021)☆326Updated 3 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆221Updated 2 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 6 months ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- ☆491Updated last year
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 4 years ago
- MoPro: Webly Supervised Learning☆88Updated 6 months 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
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆117Updated 5 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆131Updated 2 years ago
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)☆82Updated 2 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆89Updated 4 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 4 years ago
- This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Po…☆25Updated 3 years ago