bhheo / AB_distillationLinks
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
☆106Updated 6 years ago
Alternatives and similar repositories for AB_distillation
Users that are interested in AB_distillation are comparing it to the libraries listed below
Sorting:
- ☆51Updated 6 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 6 years ago
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆264Updated 6 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 6 years ago
- Pytorch implementation of SNAS☆75Updated 7 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆143Updated 3 years ago
- [ICLR'19] Complement Objective Training☆75Updated 7 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'☆220Updated 5 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 7 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆265Updated 6 years ago
- Zero-Shot Knowledge Distillation in Deep Networks in ICML2019☆49Updated 6 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆54Updated 4 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- ☆181Updated 2 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 5 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 3 years ago
- Codes of Centripetal SGD☆64Updated 3 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆50Updated 2 years ago
- ☆25Updated 6 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 4 years ago
- Implementation for NAT.☆58Updated 6 years ago
- Code for 'Low-Shot Learning with Imprinted Weights'☆71Updated 7 years ago
- [ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution☆159Updated 3 years ago