EricHe98 / Teacher-Student-TrainingLinks
This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
☆47Updated 6 years ago
Alternatives and similar repositories for Teacher-Student-Training
Users that are interested in Teacher-Student-Training are comparing it to the libraries listed below
Sorting:
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆46Updated 6 years ago
- Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN☆28Updated 8 years ago
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 5 years ago
- Code for the paper "Curriculum Dropout", ICCV 2017☆26Updated 7 years ago
- ☆100Updated 5 years ago
- Smoothed Dilated Convolutions for Improved Dense Prediction☆74Updated 7 years ago
- ☆51Updated 6 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 8 years ago
- Meta-SGD Algorithms Implementation☆22Updated last year
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 7 years ago
- Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE☆35Updated 2 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆68Updated 2 years ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 7 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 6 years ago
- Zero-Shot Knowledge Distillation in Deep Networks in ICML2019☆49Updated 6 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆58Updated 4 years ago
- Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria☆12Updated 6 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 5 years ago
- Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".☆34Updated 6 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆37Updated 6 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago