Duan-JM / dotfilesLinks
Collection for my dotfiles
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- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- ☆52Updated 4 years ago
- A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"☆25Updated 4 years ago
- ☆23Updated 4 years ago
- 2nd place solution of ECCV 2020 workshop VIPriors Image Classification Challenge, https://arxiv.org/abs/2008.00261☆13Updated 3 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 6 years ago
- ☆42Updated 4 years ago
- ☆26Updated 6 years ago
- The project is about predicting sets (of classes) from images.☆22Updated 3 years ago
- ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch☆39Updated 5 years ago
- ☆19Updated 6 years ago
- NeurIPS'18: Masking: A New Perspective of Noisy Supervision☆54Updated 6 years ago
- For visual commonsense model☆34Updated 6 years ago
- growing interpretable part graphs on convnets via multi-shot learning, in AAAI 2017☆16Updated 8 years ago
- Code of "Visualizing and Understanding Object Detecor"☆20Updated 4 years ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 4 years ago
- Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"☆32Updated 6 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated 6 months ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆22Updated 4 years ago
- ☆16Updated 5 years ago
- Easy Multiprocessing for Python☆43Updated 4 years ago
- profile tools for pytorch nn models☆42Updated 4 years ago
- custom pytorch implementation of MoCo v3☆46Updated 4 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- Curriculum Learning related papers and materials☆54Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago