Alternatives and similar repositories for ICLR2020:

Users that are interested in ICLR2020 are comparing it to the libraries listed below

• ramakanth-pasunuru / CAS-MAS
  Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"
  ☆41Updated 5 years ago
• XuezheMax / mae
  MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
  ☆23Updated 5 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 5 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• MatanBN / XRTransfer
  Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
  ☆16Updated 5 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago
• linzehui / Curriculum-Learning-PaperList-Materials
  Curriculum Learning related papers and materials
  ☆54Updated 4 years ago
• xtinkt / editable
  A supplementary code for Editable Neural Networks, an ICLR 2020 submission.
  ☆45Updated 5 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• yikangshen / Ordered-Memory
  This repository contains the code used for Ordered Memory paper
  ☆28Updated 5 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 3 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• BB-UCL / Lasagne
  ☆13Updated 6 years ago
• xingjunm / dimensionality-driven-learning
  Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018
  ☆58Updated 8 months ago
• PurdueMINDS / GNNsMiscalibrated
  ☆17Updated 5 years ago
• ofirpress / PartialShuffle
  ☆14Updated 5 years ago
• yzh119 / segtree-transformer-v0
  Code for SegTree Transformer (ICLR-RLGM 2019).
  ☆27Updated 5 years ago
• HA-Transformer / MAT
  The implementation of multi-branch attentive Transformer (MAT).
  ☆33Updated 4 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 6 months ago
• pluskid / structural-regularity
  ☆22Updated last year
• johncava / pytorch-IPOT
  Unofficial pytorch implementation of IPOT for improved Seq2Seq Learning
  ☆14Updated 3 years ago
• Newbeeer / Max-MIG
  Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"
  ☆25Updated last year
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 4 years ago
• LaraQianYang / Ouroboros
  Ouroboros: On Accelerating Training of Transformer-Based Language Models
  ☆10Updated 5 years ago
• naoto0804 / pytorch-VAT
  Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
  ☆26Updated 6 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago