CuriousCat-7 / born-again-neural-networkLinks
☆19Updated 7 years ago
Alternatives and similar repositories for born-again-neural-network
Users that are interested in born-again-neural-network are comparing it to the libraries listed below
Sorting:
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆194Updated 5 years ago
- AutoDIAL Caffe Implementation☆27Updated 8 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆273Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Recent few-shot meta-learning papers☆86Updated 7 years ago
- Some projects from Xuanyi Dong.☆90Updated 3 weeks ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆134Updated 7 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆180Updated 7 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 7 years ago
- Robust loss functions for deep neural networks (CVPR 2017)☆91Updated 5 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- Code of the article: Generating Visual Representations for Zero-Shot Classification ICCV17 WS☆23Updated 7 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 6 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆74Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆250Updated 7 years ago
- Temporal ensembling for semi-supervised learning☆158Updated 8 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆173Updated 7 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- Implementation of "Adversarial Discriminative Domain Adaptation" on pytorch☆31Updated 8 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆84Updated 5 years ago