Alternatives and similar repositories for corel2019:

Users that are interested in corel2019 are comparing it to the libraries listed below

• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆41Updated 2 years ago
• guanghelee / iclr19-robust-locally-linear-nets
  "Towards Robust, Locally Linear Deep Networks" (ICLR 2019)
  ☆9Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• hschoi1 / rich_latent
  rich posterior approximations and anomaly detection
  ☆20Updated 6 years ago
• shivamsaboo17 / ManifoldMixup
  ManifoldMixup with support for Interpolated Adversarial training
  ☆17Updated 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago
• YujiaBao / Predict-then-Interpolate
  "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021
  ☆18Updated 3 years ago
• tginart / deletion-efficient-kmeans
  Research prototype of deletion efficient k-means algorithms
  ☆23Updated 5 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆44Updated 5 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
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆34Updated 4 years ago
• BB-UCL / Lasagne
  ☆13Updated 6 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆17Updated 5 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 4 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 7 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 2 years ago
• deepgenerativeclassifier / DeepBayes
  Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
  ☆23Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year
• matthewwicker / StatisticalGuarenteesForBNNs
  Repository containing code for getting statistical guarantees on properties of BNNs
  ☆13Updated 5 years ago
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆21Updated last year
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 7 months ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• hendrycks / fooling
  Code for the Adversarial Image Detectors and a Saliency Map
  ☆12Updated 8 years ago
• KyleGoyette / nnRNN
  ☆24Updated 5 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 4 years ago