jiamings / ml-cpcLinks
☆36Updated 5 years ago
Alternatives and similar repositories for ml-cpc
Users that are interested in ml-cpc are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Updated 3 years ago
- ☆82Updated last year
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- MoCo with Alignment and Uniformity Loss.☆63Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 4 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- Code to reproduce the results for Compositional Attention☆59Updated 3 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 4 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- ☆57Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆78Updated 3 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 3 years ago
- Evaluating AlexNet features at various depths☆40Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆145Updated 3 years ago
- ☆34Updated 7 months ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆79Updated 5 years ago
- ☆39Updated last year
- ☆37Updated 5 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆175Updated last year
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆76Updated 2 years ago