Mehooz / awesome-representation-learning

Related projects: ⓘ

• VainF / Awesome-Contrastive-Learning
  Awesome Contrastive Learning for CV & NLP
  ☆163Updated 3 years ago
• evanzd / ICLR2021-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆443Updated 2 years ago
• Openning07 / awesome-curriculum-learning
  some bravo or inspiring research works on the topic of curriculum learning
  ☆217Updated 2 years ago
• Luvata / CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
  My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
  ☆41Updated last year
• flennerhag / warpgrad
  Meta-Learning with Warped Gradient Descent
  ☆92Updated 3 years ago
• prprbr / awesome-lifelong-continual-learning
  A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
  ☆276Updated 3 years ago
• fedebotu / ICLR2022-OpenReviewData
  Crawl & visualize ICLR papers and reviews
  ☆105Updated last year
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆272Updated last week
• floodsung / Deep-Reasoning-Papers
  Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep lea…
  ☆297Updated 2 years ago
• weigq / iclr2022_stats
  ☆47Updated last year
• mtoneva / example_forgetting
  ☆172Updated last month
• YongfeiYan / Gumbel_Softmax_VAE
  PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
  ☆198Updated 6 years ago
• AdrienLE / ANIML
  Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
  ☆194Updated 5 years ago
• shaohua0116 / MMAML-Classification
  An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…
  ☆135Updated 4 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆70Updated 3 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆98Updated 3 years ago
• oneHuster / Meta-Learning-Papers
  A classified list of meta learning papers based on realm.
  ☆346Updated last year
• floodsung / Lifelong-Learning-Paper-List
  Lifelong/Continual Learning Paper List
  ☆150Updated 5 years ago
• Cranial-XIX / CAGrad
  Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
  ☆108Updated 10 months ago
• khurramjaved96 / mrcl
  Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
  ☆193Updated last month
• twistedcubic / attention-rank-collapse
  [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.
  ☆156Updated 3 years ago
• yobibyte / unitary-scalarization-dmtl
  In Defense of the Unitary Scalarization for Deep Multi-Task Learning
  ☆21Updated last year
• tstandley / taskgrouping
  Code for Which Tasks Should Be Learned Together in Multi-task Learning?
  ☆93Updated last year
• kashif / ICLR2022-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆107Updated 2 years ago
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆61Updated 2 years ago
• eambutu / snail-pytorch
  Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
  ☆146Updated 5 years ago
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆173Updated last year
• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆97Updated 4 years ago
• mpatacchiola / self-supervised-relational-reasoning
  Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
  ☆142Updated 4 months ago
• dragen1860 / Reptile-Pytorch
  ☆150Updated 4 years ago