Alternatives and similar repositories for Towards-Robust-Neural-Networks-via-Close-loop-Control:

Users that are interested in Towards-Robust-Neural-Networks-via-Close-loop-Control are comparing it to the libraries listed below

• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• yjhuangcd / local-lipschitz
  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
  ☆23Updated 2 years ago
• dtak / lit
  Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"
  ☆8Updated 5 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 6 years ago
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆20Updated 4 years ago
• StanfordASL / moca
  ☆31Updated 2 years ago
• mhw32 / meta-inference-public
  A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)
  ☆14Updated 4 years ago
• revbucket / lipMIP
  Mixed integer programming for computing lipschitz constants of ReLU Networks
  ☆17Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆26Updated 3 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆30Updated 3 years ago
• callous-youth / IAPTT-GM
  Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…
  ☆10Updated 2 years ago
• team-approx-bayes / kpriors
  Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
  ☆16Updated 3 years ago
• gnobitab / MultiObjectiveSampling
  ☆15Updated 3 years ago
• thu-ml / fpovi
  Code for "Function Space Particle Optimization for Bayesian Neural Networks"
  ☆17Updated 2 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆32Updated 5 years ago
• huanzhang12 / RecurJac-and-CROWN
  Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…
  ☆26Updated 5 years ago
• Hadisalman / robust-verify-benchmark
  Benchmark for LP-relaxed robustness verification of ReLU-networks
  ☆41Updated 5 years ago
• cambridge-mlg / SPVAE
  Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)
  ☆12Updated 4 years ago
• naiqili / DDPM
  This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)
  ☆13Updated 2 years ago
• alevine0 / randomizedAblation
  Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.
  ☆10Updated 2 years ago
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 5 years ago
• AnonymousNIPS2019 / DeepnetHessian
  The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size
  ☆17Updated 5 years ago
• uiuctml / fair-classification
  Post-processing for fair classification
  ☆13Updated last month
• ykwon0407 / wdro_local_perturbation
  Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)
  ☆21Updated last year
• KaidiXu / ZO-minmax
  Zeroth-order Min-max Optimization
  ☆11Updated 4 years ago
• charlesjin / adversarial_regularization
  A method based on manifold regularization for training adversarially robust neural networks
  ☆9Updated 4 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• changliu00 / AWGF
  Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)
  ☆22Updated 5 years ago