shaohua0116 / ICLR2020-OpenReviewData

Related projects ⓘ

Alternatives and complementary repositories for ICLR2020-OpenReviewData

• shaohua0116 / ICLR2019-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆387Updated 4 years ago
• evanzd / ICLR2021-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆444Updated 2 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆464Updated 5 years ago
• dragen1860 / awesome-meta-learning
  A curated list of Meta-Learning resources/papers.
  ☆556Updated 3 years ago
• uber-research / learning-to-reweight-examples
  Code for paper "Learning to Reweight Examples for Robust Deep Learning"
  ☆269Updated 5 years ago
• AdrienLE / ANIML
  Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
  ☆193Updated 5 years ago
• danieltan07 / learning-to-reweight-examples
  PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
  ☆353Updated 5 years ago
• google-deepmind / leo
  Implementation of Meta-Learning with Latent Embedding Optimization
  ☆305Updated 5 years ago
• oneHuster / Meta-Learning-Papers
  A classified list of meta learning papers based on realm.
  ☆349Updated 2 years ago
• dragen1860 / Reptile-Pytorch
  ☆150Updated 4 years ago
• gopala-kr / meta-learning
  meta-learning research
  ☆159Updated 3 years ago
• e-271 / awesome-few-shot-learning
  A curated list of resources about few-shot and one-shot learning
  ☆281Updated 5 years ago
• alphadl / lookahead.pytorch
  lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
  ☆334Updated 5 years ago
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆806Updated 5 years ago
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆399Updated 4 years ago
• niudd / ICML-2018-Papers
  https://icml.cc/Conferences/2018/Schedule
  ☆35Updated 6 years ago
• google / mentornet
  Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  ☆321Updated last year
• DuaneNielsen / DeepInfomaxPytorch
  Learning deep representations by mutual information estimation and maximization
  ☆322Updated 5 years ago
• gabrielhuang / reptile-pytorch
  A PyTorch implementation of OpenAI's REPTILE algorithm
  ☆212Updated 4 years ago
• JackieTseng / conference_call_for_paper
  2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processi…
  ☆862Updated 3 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 5 years ago
• lyakaap / VAT-pytorch
  Virtual Adversarial Training (VAT) implementation for PyTorch
  ☆297Updated 5 years ago
• katerakelly / pytorch-maml
  PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
  ☆552Updated 6 years ago
• mtoneva / example_forgetting
  ☆174Updated 3 months ago
• ikostrikov / pytorch-meta-optimizer
  A PyTorch implementation of Learning to learn by gradient descent by gradient descent
  ☆312Updated 6 years ago
• L0SG / relational-rnn-pytorch
  An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
  ☆245Updated 5 years ago
• JiaminRen / RandWireNN
  Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
  ☆274Updated 4 years ago
• majumderb / rezero
  Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
  ☆407Updated 3 months ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆426Updated 7 years ago
• alinlab / L2T-ww
  Learning What and Where to Transfer (ICML 2019)
  ☆250Updated 4 years ago