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 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• salesforce / NeuralBayes
  ☆24Updated 9 months ago
• inspire-group / robustness-via-transport
  ☆12Updated 6 years ago
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆21Updated 5 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆41Updated 2 years ago
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 5 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆28Updated 8 years ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆57Updated 2 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 7 years ago
• KyleGoyette / nnRNN
  ☆24Updated 6 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• seba-1511 / igt.pth
  Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19
  ☆21Updated 6 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 5 years ago
• hschoi1 / rich_latent
  rich posterior approximations and anomaly detection
  ☆20Updated 6 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 4 years ago
• c-swm / c-swm
  This repository has moved to: https://github.com/tkipf/c-swm
  ☆27Updated 6 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆34Updated 6 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 6 years ago
• ramakanth-pasunuru / CAS-MAS
  Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"
  ☆41Updated 6 years ago
• yzh119 / segtree-transformer-v0
  Code for SegTree Transformer (ICLR-RLGM 2019).
  ☆27Updated 6 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 6 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆20Updated 4 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 5 years ago