thuml / Self-TuningLinks
Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)
☆112Updated 4 years ago
Alternatives and similar repositories for Self-Tuning
Users that are interested in Self-Tuning are comparing it to the libraries listed below
Sorting:
- An open-source project for long-tail classification☆39Updated 4 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆89Updated 4 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆372Updated 3 years ago
- MoPro: Webly Supervised Learning☆88Updated 7 months ago
- pytorch gpu memory check☆50Updated 6 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated 2 years ago
- Ranking-based-Instance-Selection☆33Updated 4 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Updated 4 years ago
- The offical code for paper "Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking", ACM Multimedia 2019 Oral☆68Updated 6 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
- ☆61Updated 5 years ago
- Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER…☆119Updated 4 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 3 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆90Updated 6 years ago
- Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning☆56Updated 6 years ago
- Product1M☆90Updated 3 years ago
- Source code of our ACM MM 2019 paper "A New Benchmark and Approach for Fine-grained Cross-media Retrieval".☆58Updated last year
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Updated 4 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries☆163Updated 2 years ago
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆155Updated 3 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆190Updated 4 years ago
- ☆53Updated 4 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆101Updated last year
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 3 years ago
- source code and pre-trained/fine-tuned checkpoint for NAACL 2021 paper LightningDOT☆72Updated 3 years ago
- Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.☆55Updated 5 years ago
- paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code☆78Updated 3 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 5 years ago