minkyujeon / MAML_Pytorch

Related projects: ⓘ

• baiksung / MeTAL
  Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
  ☆61Updated 2 years ago
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 2 years ago
• baiksung / ALFA
  Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
  ☆71Updated 2 years ago
• GauravIyer / MAML-Pytorch
  A Pytorch implementation of MAML
  ☆47Updated last year
• kibok90 / imix
  ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
  ☆77Updated 8 months ago
• vmikulik / maml-pytorch
  A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
  ☆43Updated 6 years ago
• timchen0618 / pytorch-leo
  Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization
  ☆47Updated 4 years ago
• kakaoenterprise / Learning-Debiased-Disentangled
  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"
  ☆98Updated last year
• khanrc / swad
  Official Implementation of SWAD (NeurIPS 2021)
  ☆151Updated last year
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 3 years ago
• bbuing9 / DARP
  Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)
  ☆70Updated 2 years ago
• siavash-khodadadeh / UMTRA-Release
  Unsupervised Meta Learning for Image Classification (UMTRA) algorithm
  ☆20Updated last year
• bigdata-inha / Split-and-Bridge
  (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
  ☆23Updated 3 years ago
• HJ-Yoo / BOIL
  ☆13Updated 3 years ago
• khanrc / miro
  Official PyTorch implementation of MIRO (ECCV 2022)
  ☆85Updated last year
• kakaoenterprise / BiasEnsemble
  Official PyTorch implementation of paper: "Revisiting the Importance of Amplifying Bias for Debiasing" (AAAI 2023)
  ☆19Updated last year
• daintlab / confidence-aware-learning
  Confidence-Aware Learning for Deep Neural Networks (ICML2020)
  ☆72Updated 4 years ago
• tianyizhou / DIHCL
  Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)
  ☆25Updated 3 years ago
• sungbinlim / NeuBoots
  Neural Bootstrapper (NeuBoots)
  ☆25Updated 2 years ago
• jaehong31 / APD
  "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020
  ☆22Updated 2 years ago
• swyoon / normalized-autoencoders
  The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).
  ☆42Updated last year
• Johswald / learning_where_to_learn
  ☆38Updated last year
• dnap512 / SelfReg
  PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
  ☆75Updated 2 years ago
• Suhyun777 / CVPR23-GAP
  Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"
  ☆18Updated last year
• PanZiqiAI / disentangled-information-bottleneck
  ☆28Updated 3 years ago
• clovaai / rainbow-memory
  Official pytorch implementation of Rainbow Memory (CVPR 2021)
  ☆117Updated 2 years ago
• alinlab / PsCo
  Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
  ☆52Updated 3 months ago
• perrying / realistic-ssl-evaluation-pytorch
  Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆80Updated 4 years ago
• bjsowa / LLDEN
  Lifelong Learning with Dynamically Expandable Networks
  ☆20Updated 6 years ago
• YoonyeongKim / LADA
  Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)
  ☆14Updated 4 months ago