nocotan / born_again_neuralnetLinks
Unofficial pytorch implementation of Born-Again Neural Networks.
☆53Updated 4 years ago
Alternatives and similar repositories for born_again_neuralnet
Users that are interested in born_again_neuralnet are comparing it to the libraries listed below
Sorting:
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 5 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated 11 months ago
- ☆19Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- [AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".☆74Updated last year
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated last year
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 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
- ☆61Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Cheap distillation for convolutional neural networks.☆33Updated 6 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆141Updated 5 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆54Updated last month
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 3 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- ☆37Updated 2 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).☆24Updated 6 years ago