HymEric / Awesome-Representation-Learning-CV-PaperAndCode
Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.
☆34Updated last year
Alternatives and similar repositories for Awesome-Representation-Learning-CV-PaperAndCode:
Users that are interested in Awesome-Representation-Learning-CV-PaperAndCode are comparing it to the libraries listed below
- ☆38Updated 2 years ago
- A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…☆21Updated 4 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆63Updated 2 years ago
- IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"☆40Updated 2 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆30Updated 4 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated last year
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Updated 4 years ago
- LISA for ICML 2022☆47Updated last year
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆73Updated 4 years ago
- Implementation of Contrastive Learning with Adversarial Examples☆28Updated 4 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆47Updated 2 years ago
- Class Incremental learning, Task Incremental Learning☆16Updated 2 years ago
- Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743…☆37Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆90Updated 4 years ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated 9 months ago
- Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network (AAAI 2023)☆20Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆33Updated last year
- ☆58Updated 3 years ago
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆84Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆130Updated 4 years ago
- [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…☆32Updated 2 years ago
- A curated list of awesome Mix☆68Updated 2 years ago
- Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation, WACV 2023☆69Updated 2 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 3 years ago
- ☆29Updated last year
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆119Updated 3 years ago
- ☆36Updated 3 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 3 years ago