Alternatives and similar repositories for Feature-Grouping-Regularizer:

Users that are interested in Feature-Grouping-Regularizer are comparing it to the libraries listed below

• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• KyleGoyette / nnRNN
  ☆24Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 years ago
• arthurmensch / online_sinkhorn
  ☆13Updated 4 years ago
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 6 years ago
• seba-1511 / igt.pth
  Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19
  ☆21Updated 5 years ago
• MatanBN / XRTransfer
  Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
  ☆16Updated 5 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• davidstutz / cvpr2019-adversarial-robustness
  CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
  ☆14Updated 5 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• alvinchangw / IGAM_CVPR2020
  Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)
  ☆16Updated 2 years ago
• yzh119 / segtree-transformer-v0
  Code for SegTree Transformer (ICLR-RLGM 2019).
  ☆27Updated 5 years ago
• LevinRoman / parameter-space-saliency
  Parameter-Space Saliency Maps for Explainability
  ☆23Updated 2 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 5 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 5 years ago
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 5 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• brekelma / echo
  Echo Noise Channel for Exact Mutual Information Calculation
  ☆17Updated 4 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• matthewwicker / StatisticalGuarenteesForBNNs
  Repository containing code for getting statistical guarantees on properties of BNNs
  ☆13Updated 6 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 4 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 5 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago
• ofirpress / PartialShuffle
  ☆14Updated 5 years ago
• franrruiz / augment-reduce
  Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions
  ☆10Updated 6 years ago