chingyaoc / estimating-generalizationLinks
ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
☆23Updated 4 years ago
Alternatives and similar repositories for estimating-generalization
Users that are interested in estimating-generalization are comparing it to the libraries listed below
Sorting:
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆19Updated 4 years ago
- ☆20Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- ☆41Updated 2 years ago
- ☆25Updated 5 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
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- ☆18Updated 3 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- Meta-learning learning rates with higher☆12Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 4 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- ☆34Updated 6 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- GAN(TK)²: GAN Neural Tangent Kernel ToolKit☆13Updated 2 years ago
- Linear Mode Connectivity in Multitask and Continual Learning: https://arxiv.org/abs/2010.04495☆11Updated 4 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated last year
- Evaluating AlexNet features at various depths☆39Updated 4 years ago