Alternatives and similar repositories for Distilling_the_Knowledge_in_a_Neural_Network_pytorch

Users that are interested in Distilling_the_Knowledge_in_a_Neural_Network_pytorch are comparing it to the libraries listed below

• 9310gaurav / virtual-adversarial-training
  Pytorch implementation of Virtual Adversarial Training
  ☆134Updated 6 years ago
• corenel / pytorch-atda
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆44Updated 8 years ago
• lizhitwo / LearningWithoutForgetting
  Repository for the Learning without Forgetting paper, ECCV 2016
  ☆85Updated 5 years ago
• Flowerfan / Open-Reid
  Self-Paced Multi-view Co-training for person re-id experiment
  ☆30Updated 4 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆119Updated 8 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• shucunt / domain_adaptation
  this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wust…
  ☆63Updated 7 years ago
• danieltan07 / learning-to-reweight-examples
  PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
  ☆354Updated 6 years ago
• alinlab / L2T-ww
  Learning What and Where to Transfer (ICML 2019)
  ☆249Updated 4 years ago
• a7b23 / Distilling-the-knowledge-in-neural-network
  Teaches a student network from the knowledge obtained via training of a larger teacher network
  ☆158Updated 7 years ago
• thaonguyen19 / ModelDistillation-PyTorch
  PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression
  ☆59Updated 7 years ago
• lyakaap / VAT-pytorch
  Virtual Adversarial Training (VAT) implementation for PyTorch
  ☆295Updated 6 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 5 years ago
• A-bone1 / JDDA
  Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)
  ☆42Updated 6 years ago
• bojone / infomax
  extract features by maximizing mutual information
  ☆148Updated 5 years ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆124Updated 5 years ago
• dragen1860 / DeepEmbeddingModel_ZSL-Pytorch
  Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
  ☆61Updated 7 years ago
• YingZhangDUT / Deep-Mutual-Learning
  TensorFlow Implementation of Deep Mutual Learning
  ☆323Updated 7 years ago
• gitabcworld / FewShotLearning
  Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
  ☆260Updated 8 years ago
• GuokaiLiu / Noisy-Labels-Problem-Collection
  This is a collection of Papers and Codes for Noisy Labels Problem.
  ☆63Updated 7 years ago
• xingruiyu / coteaching_plus
  ICML'19 How does Disagreement Help Generalization against Label Corruption?
  ☆89Updated 6 years ago
• thuml / Transferable-Adversarial-Training
  Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
  ☆81Updated 6 years ago
• thuml / SAN
  Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)
  ☆69Updated 7 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆81Updated 3 years ago
• vtddggg / ATDA
  Unofficial Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆41Updated 8 years ago
• bhheo / BSS_distillation
  Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
  ☆71Updated 6 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆21Updated 5 years ago
• eveningdong / DAOSL
  Implementation of Domain Adaption in One-Shot Learning
  ☆15Updated 6 years ago
• Mid-Push / Moving-Semantic-Transfer-Network
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Updated 7 years ago
• yogeshbalaji / Generate_To_Adapt
  Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
  ☆142Updated 6 years ago