yangze01 / Distilling_the_Knowledge_in_a_Neural_Network_pytorch

Related projects: ⓘ

• thaonguyen19 / ModelDistillation-PyTorch
  PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression
  ☆59Updated 6 years ago
• corenel / pytorch-atda
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆44Updated 7 years ago
• xiaojiew94 / KDGAN
  ☆37Updated 2 years ago
• bhheo / BSS_distillation
  Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
  ☆70Updated 5 years ago
• liulu112601 / Gated-Propagation-Net
  NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning
  ☆36Updated 4 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆117Updated last year
• Flowerfan / Open-Reid
  Self-Paced Multi-view Co-training for person re-id experiment
  ☆29Updated 3 years ago
• 9310gaurav / virtual-adversarial-training
  Pytorch implementation of Virtual Adversarial Training
  ☆132Updated 5 years ago
• thuml / Transferable-Adversarial-Training
  Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
  ☆80Updated 5 years ago
• bhanML / coteaching_plus
  ICML'19: How does Disagreement Help Generalization against Label Corruption?
  ☆21Updated 5 years ago
• xingjunm / dimensionality-driven-learning
  Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018
  ☆58Updated 3 months ago
• waitwaitforget / KnowledgeSharing-Pytorch
  Implementations of knowledge distillation and knowledge transfer models in neural networks.
  ☆22Updated 5 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 7 years ago
• bhanML / Masking
  NeurIPS'18: Masking: A New Perspective of Noisy Supervision
  ☆54Updated 5 years ago
• vithursant / SPL-ADVisE
  PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
  ☆20Updated 5 years ago
• zqs1022 / explanatoryGraph
  Interpreting CNN Knowledge via an Explanatory Graph
  ☆68Updated 3 years ago
• tejasgodambe / knowledge-distillation
  Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN
  ☆29Updated 7 years ago
• lixingjian / DELTA
  DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229
  ☆66Updated 3 years ago
• henry8527 / GCE
  [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy
  ☆40Updated 5 years ago
• xiahaifeng1995 / adversarial-robustness
  ☆25Updated 5 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 5 years ago
• wangkai930418 / continual-learning-papers-and-codes
  ☆27Updated this week
• Sunarker / Safeguarded-Dynamic-Label-Regression-for-Noisy-Supervision
  ☆9Updated 9 months ago
• JiechaoGuan / FSL-DAPNA
  ☆47Updated this week
• LARS-research / S2E
  Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
  ☆21Updated 4 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆52Updated 3 years ago
• a7b23 / Distilling-the-knowledge-in-neural-network
  Teaches a student network from the knowledge obtained via training of a larger teacher network
  ☆154Updated 6 years ago
• TropComplique / image-classification-caltech-256
  Exploring CNNs and model quantization on Caltech-256 dataset
  ☆84Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆70Updated 6 years ago
• blackbox-bandits / blackbox-attacks-bandits-priors
  Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"
  ☆14Updated 5 years ago
• liulu112601 / Prototype-Propagation-Net
  IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
  ☆55Updated 4 years ago