Westlake-AI / Markov-Lipschitz-Deep-Learning
☆44Updated 4 years ago
Alternatives and similar repositories for Markov-Lipschitz-Deep-Learning:
Users that are interested in Markov-Lipschitz-Deep-Learning are comparing it to the libraries listed below
- ☆46Updated 2 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.1…☆34Updated 3 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- ☆88Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- ☆45Updated 3 years ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 3 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆58Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated 2 years ago
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)☆77Updated last year
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆49Updated 4 years ago
- Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020☆52Updated 4 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆91Updated 4 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated last year
- Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients☆58Updated 5 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆48Updated 3 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆42Updated 4 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- implements optimal transport algorithms in pytorch☆97Updated 2 years ago
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆41Updated 4 years ago
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Updated 2 years ago