Alternatives and similar repositories for adversarial-negative-sampling

Users that are interested in adversarial-negative-sampling are comparing it to the libraries listed below

• M-Elfeki / GDPP
  Generator loss to reduce mode-collapse and to improve the generated samples quality.
  ☆34Updated 6 years ago
• sergulaydore / Feature-Grouping-Regularizer
  Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.
  ☆20Updated 6 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated 2 years ago
• salesforce / NeuralBayes
  ☆24Updated 5 months ago
• eleniTriantafillou / few_shot_mAP_public
  This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…
  ☆25Updated 7 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• locuslab / sdp_clustering
  ☆13Updated 4 years ago
• davidstutz / cvpr2019-adversarial-robustness
  CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
  ☆14Updated 5 years ago
• KyleGoyette / nnRNN
  ☆24Updated 5 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
• ron-amit / meta-learning-adjusting-priors
  Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018
  ☆22Updated 5 years ago
• svenpeter42 / LightGBM-CEGB
  Fork of Microsoft/LightGBM to include support for the CEGB (Cost Efficient Gradient Boosting) algorithm. Original repository at https://g…
  ☆13Updated 8 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• xiaozhanguva / Cost-Sensitive-Robustness
  A general method for training cost-sensitive robust classifier
  ☆22Updated 6 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 2 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• BB-UCL / Lasagne
  ☆13Updated 7 years ago
• cgartrel / nonsymmetric-DPP-learning
  PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
  ☆24Updated 2 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
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆50Updated 6 years ago
• hschoi1 / rich_latent
  rich posterior approximations and anomaly detection
  ☆20Updated 6 years ago
• emalach / UpdateByDisagreement
  code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]
  ☆21Updated 7 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago