Alternatives and similar repositories for Non-convex-Notes

Users that are interested in Non-convex-Notes are comparing it to the libraries listed below

• davidstutz / cvpr2019-adversarial-robustness
  CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
  ☆14Updated 5 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• UMBCvision / fooling_network_interpretation
  Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
  ☆24Updated 5 years ago
• jhayes14 / black-box-attacks
  Comparison of gradient estimation techniques for black-box adversarial examples
  ☆11Updated 6 years ago
• Ivan1248 / Parseval-networks
  An (imperfect) implementation of wide resnets and Parseval regularization
  ☆9Updated 5 years ago
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆22Updated 3 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 2 years ago
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆45Updated 5 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• AI-secure / KNN-PVLDB
  Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"
  ☆26Updated 5 years ago
• phquang / Bilevel-Continual-Learning
  ☆10Updated 4 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• zalanborsos / coresets
  Coresets
  ☆37Updated 3 years ago
• xiaozhanguva / Cost-Sensitive-Robustness
  A general method for training cost-sensitive robust classifier
  ☆22Updated 6 years ago
• yogeshbalaji / Normalized-Wasserstein
  Normalized Wasserstein for Mixture Distributions
  ☆11Updated 2 years ago
• sverneka / OODGen
  Out-of-distribution Detection via Generation - NeurIPS 2019
  ☆18Updated 5 years ago
• k9k2 / qSGD
  SGD and Ordered SGD codes for deep learning, SVM, and logistic regression
  ☆35Updated 4 years ago
• git-disl / EnsembleBench
  A holistic framework for promoting high diversity ensemble learning.
  ☆14Updated 9 months ago
• hamidkarimi / DeepDIG
  This repository contains the code for Characterizing the Decision Boundary of Deep Neural Networks
  ☆25Updated last year
• billhhh / RDP
  Codes for IJCAI2020 paper "Unsupervised Representation Learning by Predicting Random Distances” https://arxiv.org/abs/1912.12186
  ☆28Updated 5 years ago
• ayaabdelsalam91 / saliency_guided_training
  ☆12Updated 3 years ago
• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 6 years ago
• geosada / LVAT
  Latent Space Virtual Adversarial Training (ECCV 2020)
  ☆17Updated 4 years ago
• HighwayWu / SIFT-Reconstruction
  ☆9Updated 3 years ago
• hongyanz / Stackelberg-GAN
  Codes for Stackelberg GAN
  ☆13Updated 6 years ago
• da2so / Interpretable-Explanations-of-Black-Boxes-by-Meaningful-Perturbation
  Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch
  ☆12Updated 9 months ago
• OanaMariaCamburu / CanITrustTheExplainer
  ☆18Updated 5 years ago
• mollymr305 / mnist-mc-dropout
  model uncertainty using mc dropout
  ☆20Updated 6 years ago
• ysharma1126 / Split-Brain-Autoencoder
  Implemented Split-Brain Autoencoder by Zhang et al.
  ☆8Updated 6 years ago
• Piyushi-0 / ACE
  Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.
  ☆51Updated 3 years ago