Alternatives and similar repositories for ICML-2018-Papers:

Users that are interested in ICML-2018-Papers are comparing it to the libraries listed below

• niudd / ICML-2017-Papers
  https://2017.icml.cc/Conferences/2017/Schedule
  ☆72Updated 7 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆128Updated 6 years ago
• zqs1022 / explanatoryGraph
  Interpreting CNN Knowledge via an Explanatory Graph
  ☆69Updated 4 years ago
• Sophia-11 / Awesome-NeurIPS2019-NIPS2019
  人工智能和机器学习领域的国际顶级会议NeurIPS论文收集
  ☆101Updated 5 years ago
• gopala-kr / meta-learning
  meta-learning research
  ☆159Updated 3 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 5 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆86Updated 6 years ago
• shaohua0116 / ICLR2020-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆459Updated 5 years ago
• 2prime / Paper-Reading
  Paper Reading
  ☆73Updated 7 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated last year
• desire2020 / CoT
  (Beta Version!) Experiment Code for Paper ``CoT: Cooperative Training for Generative Modeling of Discrete Data''
  ☆72Updated 5 years ago
• DeepGraphLearning / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆31Updated 6 years ago
• shaohua0116 / ICLR2019-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆387Updated 5 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• zjmwqx / nips-2017-paper-collection
  ☆55Updated 7 years ago
• maple-research-lab / CapProNet-Pytorch
  Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018
  ☆32Updated 6 years ago
• Mid-Push / Moving-Semantic-Transfer-Network
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Updated 6 years ago
• wchliao / multi-task-machine-learning-papers
  A list of multi-task machine learning papers.
  ☆37Updated 6 years ago
• uber-research / learning-to-reweight-examples
  Code for paper "Learning to Reweight Examples for Robust Deep Learning"
  ☆270Updated 6 years ago
• kimiyoung / ssl_bad_gan
  Good Semi-Supervised Learning That Requires a Bad GAN
  ☆180Updated 7 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆70Updated 7 years ago
• likesiwell / LGM-Net
  Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
  ☆84Updated 4 years ago
• foolyc / Meta-SGD
  Meta-SGD experiment on Omniglot classification compared with MAML
  ☆79Updated 7 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆62Updated 4 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 5 years ago
• avirambh / MSDNet-GCN
  ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction
  ☆135Updated 6 years ago
• kjunelee / WINN
  Wasserstein Introspective Neural Networks (CVPR 2018 Oral)
  ☆59Updated 7 years ago
• LiqunChen0606 / Triangle-GAN
  implementation for NIPS paper Triangle Generative Adversarial Networks
  ☆61Updated 7 years ago
• dragen1860 / LearningToCompare-Pytorch
  Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
  ☆249Updated 7 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago