gpascualg / CrossGrad
Tensorflow: Generalizing Across Domains via Cross-Gradient Training
☆15Updated 6 years ago
Alternatives and similar repositories for CrossGrad:
Users that are interested in CrossGrad are comparing it to the libraries listed below
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 5 years ago
- ☆19Updated 4 years ago
- ☆10Updated 5 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆58Updated 6 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated last year
- This repository contains implementation of CROSSGRAD (https://openreview.net/forum?id=r1Dx7fbCW) and DAN (https://arxiv.org/abs/1505.0781…☆25Updated 6 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- ☆13Updated 7 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Learning To Stop While Learning To Predict☆33Updated 2 years ago
- An adaptive training algorithm for residual network☆15Updated 4 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 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
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 4 years ago
- pytorch implementation for paper, towards realistic predictors☆17Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆22Updated 4 years ago
- Deep Structured Energy Based Model☆11Updated 7 years ago
- ☆20Updated 4 years ago
- Code for the paper "Curriculum Dropout", ICCV 2017☆25Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago