AlexMeinke / Provable-OOD-Detection

Related projects: ⓘ

• AlexMeinke / certified-certain-uncertainty
  A way to achieve uniform confidence far away from the training data.
  ☆36Updated 3 years ago
• Faruk-Ahmed / predictive_group_invariance
  ☆34Updated 3 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 3 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆39Updated 10 months ago
• js-d / sim_metric
  ☆32Updated 11 months ago
• ppope / dimensions
  Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J
  ☆63Updated 5 months ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆41Updated last year
• bethgelab / InDomainGeneralizationBenchmark
  ☆33Updated 3 years ago
• locuslab / perturbation_learning
  Learning perturbation sets for robust machine learning
  ☆64Updated 3 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago
• AndrewAtanov / semi-supervised-flow-pytorch
  Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"
  ☆10Updated 4 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 3 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆33Updated 4 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• sndnyang / JEMPP
  PyTorch implementation of JEM++: Improved Techniques for Training JEM
  ☆13Updated last year
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆78Updated 2 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 4 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆99Updated 2 years ago
• MadryLab / DebuggableDeepNetworks
  ☆37Updated 3 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆59Updated 3 years ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 2 years ago
• j-cb / Breaking_Down_OOD_Detection
  ☆11Updated 2 years ago
• preetum / cifar5m
  CIFAR-5m dataset
  ☆39Updated 3 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆37Updated 5 years ago
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆43Updated 4 years ago
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆31Updated last year
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆22Updated 2 years ago
• jhjacobsen / fully-invertible-revnet
  ☆31Updated 3 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• IBM / NeuronAlignment
  Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.
  ☆15Updated 3 years ago