Alternatives and similar repositories for InterpretableCNN

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

• zqs1022 / explanatoryGraph
  Interpreting CNN Knowledge via an Explanatory Graph
  ☆70Updated 4 years ago
• hyliang96 / CSGCNN
  code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"
  ☆28Updated last month
• sundw2014 / DKS
  Deeply-supervised Knowledge Synergy (CVPR'2019)
  ☆67Updated 4 years ago
• lixingjian / DELTA
  DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229
  ☆66Updated 4 years ago
• AaronHeee / MEAL
  Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019
  ☆177Updated 5 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• bfshi / InfoDrop
  Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
  ☆125Updated 2 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• zju-vipa / DEPARA
  (CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge Transferbility
  ☆41Updated 5 years ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆126Updated 4 years ago
• Mid-Push / Moving-Semantic-Transfer-Network
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Updated 7 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• bhheo / BSS_distillation
  Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
  ☆71Updated 5 years ago
• maple-research-lab / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆82Updated last year
• srebuffi / residual_adapters
  ☆171Updated 4 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• peisuke / MomentumContrast.pytorch
  Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning
  ☆120Updated last year
• kkanshul / Hide-and-Seek
  ☆69Updated 4 years ago
• Panda-Peter / visda2019-multisource
  Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019
  ☆51Updated 5 years ago
• ppwwyyxx / GroupNorm-reproduce
  An official collection of code in different frameworks that reproduces experiments in "Group Normalization"
  ☆118Updated 4 years ago
• HCPLab-SYSU / HSE
  ☆83Updated 6 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 5 years ago
• Flowerfan / Open-Reid
  Self-Paced Multi-view Co-training for person re-id experiment
  ☆30Updated 4 years ago
• PRIS-CV / OSLNet
  Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)
  ☆45Updated 5 years ago
• junsukchoe / ADL
  Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
  ☆197Updated 5 years ago
• philiptheother / FeatureDecoupling
  Self-Supervised Representation Learning by Rotation Feature Decoupling
  ☆95Updated 6 years ago
• maple-research-lab / AET
  Auto-Encoding Transformations (AETv1), CVPR 2019
  ☆108Updated 5 years ago
• guoshengcv / CurriculumNet
  CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
  ☆29Updated 6 years ago
• Sunarker / Collaborative-Learning-for-Weakly-Supervised-Object-Detection
  ☆50Updated 6 years ago
• kuanghuei / clean-net
  Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
  ☆88Updated 7 years ago