CuriousCat-7 / born-again-neural-network
☆19Updated 6 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
- CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition☆38Updated 6 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆73Updated 3 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆89Updated 6 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆105Updated 5 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆53Updated 3 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆136Updated 6 years ago
- Some projects from Xuanyi Dong.☆90Updated 4 months ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆70Updated 5 years ago
- ☆32Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 5 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆172Updated 6 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆110Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- [ICLR'19] Complement Objective Training☆76Updated 6 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 7 years ago
- Wasserstein Introspective Neural Networks (CVPR 2018 Oral)☆59Updated 6 years ago
- AutoDIAL Caffe Implementation☆27Updated 7 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆193Updated 5 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆79Updated 7 years ago
- Implementation of ICML15 paper "Learning Transferable Features with Deep Adaptation Networks" based on caffe☆33Updated 9 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 7 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- Recent few-shot meta-learning papers☆86Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆118Updated last year
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 6 years ago
- Joint Optimization Framework for Learning with Noisy Labels☆45Updated 6 years ago