emited / gantk2

Related projects ⓘ

Alternatives and complementary repositories for gantk2

• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 2 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 4 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆39Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆39Updated 4 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated last year
• Faruk-Ahmed / predictive_group_invariance
  ☆34Updated 3 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆33Updated 4 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• rahafaljundi / Selfless-Sequential-Learning
  ☆26Updated 4 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• minyoungg / overparam
  ☆40Updated last year
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆19Updated 4 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated last year
• bethgelab / InDomainGeneralizationBenchmark
  ☆33Updated 3 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 5 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• denproc / Taming-VAEs
  ☆26Updated 5 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 4 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated last year
• bamos / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆40Updated 4 years ago
• chingyaoc / estimating-generalization
  ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
  ☆21Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 5 years ago
• BB-UCL / Lasagne
  ☆13Updated 6 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆60Updated 3 years ago
• cunningham-lab / igr
  ☆31Updated 4 years ago
• mmrl / disent-and-gen
  Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
  ☆22Updated 2 years ago
• yunhuiguo / MEGA
  [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning
  ☆18Updated 3 years ago