Alternatives and similar repositories for batch-level-distillation:

Users that are interested in batch-level-distillation are comparing it to the libraries listed below

• mancinimassimiliano / adagraph
  PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
  ☆24Updated 2 years ago
• sumitramalagi / Unseen-classes-at-a-later-time
  ☆13Updated 3 years ago
• zjy526223908 / BTDA
  implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network
  ☆38Updated 6 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• Sha-Lab / aCASTLE
  The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"
  ☆22Updated 3 years ago
• chrysts / geodesic_continual_learning
  This is a public repository for:
  ☆38Updated 3 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 4 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• lit-leo / cgate
  Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"
  ☆20Updated 4 years ago
• hastings24 / rethinking_er
  Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
  ☆45Updated 2 years ago
• yunhuiguo / MEGA
  [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning
  ☆18Updated 4 years ago
• NVlabs / CSG
  ☆28Updated 3 years ago
• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆37Updated 5 years ago
• universome / class-norm
  Class Normalization for Continual Zero-Shot Learning
  ☆34Updated 4 years ago
• ashok-arjun / CSCCT
  Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"
  ☆17Updated 2 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated 2 years ago
• liuyudut / MUC
  A Generic Multi-classifier Paradigm forIncremental Learning
  ☆11Updated 4 years ago
• qy-feng / Margin-Openset
  [ICCV2019] Attract or Distract: Exploit the Margin of Open Set
  ☆35Updated 4 years ago
• huang50213 / AIM-Fewshot-Continual
  ☆29Updated 3 years ago
• AhmedAyad89 / Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
  ☆19Updated 5 years ago
• yunhuiguo / CVPR-2021-L2ID-Classification-Challenges
  Learning from Limited and Imperfect Data (L2ID): Classification Challenges
  ☆18Updated 4 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 3 years ago
• hshustc / ECCV18_Lifelong_Learning
  Lifelong Learning via Progressive Distillation and Retrospection
  ☆14Updated 6 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• phquang / Contextual-Transformation-Network
  ☆22Updated last year
• erictzeng / ssa-segmentation-release
  ☆12Updated 5 years ago
• sud0301 / essentials_for_CIL
  Official repository of the paper 'Essentials for Class Incremental Learning'
  ☆40Updated 3 years ago
• HaohanWang / PAR_experiments
  Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))
  ☆18Updated 2 years ago