jiamings / ml-cpc
☆36Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for ml-cpc
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 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 3 years ago
- ☆14Updated 5 years ago
- Official adversarial mixup resynthesis repository☆35Updated 4 years ago
- MoCo with Alignment and Uniformity Loss.☆62Updated 2 years ago
- ☆35Updated 3 months ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆40Updated 2 years ago
- ☆19Updated 4 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 2 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆12Updated 3 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆20Updated last year
- ☆18Updated 3 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆21Updated 4 years ago
- ☆30Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- Learning To Stop While Learning To Predict☆33Updated 2 years ago
- ☆34Updated 3 months ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- ☆29Updated last year
- ☆49Updated 3 years ago
- Weighted Training for Cross-Task Learning☆15Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- ☆33Updated 4 years ago
- ☆42Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆67Updated 6 months ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 2 years ago
- Official PyTorch implementation for "Understanding Instance-based Interpretability of Variational Auto-Encoders."☆13Updated 3 years ago
- ☆34Updated 3 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 3 years ago