Alternatives and similar repositories for confidentlearning-reproduce

Users that are interested in confidentlearning-reproduce are comparing it to the libraries listed below

• google-research / noisy-fewshot-learning
  ☆23Updated 4 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• moskomule / mixup.pytorch
  an implementation of mixup
  ☆41Updated 4 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆102Updated 5 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• dwang181 / active-mixup
  Code for Active Mixup in 2020 CVPR
  ☆23Updated 3 years ago
• xiaomi-automl / MixPath
  MixPath: A Unified Approach for One-shot Neural Architecture Search
  ☆29Updated 4 years ago
• sseung0703 / Zero-shot_Knowledge_Distillation
  Zero-Shot Knowledge Distillation in Deep Networks in ICML2019
  ☆49Updated 6 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• ahmdtaha / softmax_triplet_loss
  (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
  ☆22Updated 3 years ago
• joe-siyuan-qiao / GUNN
  Gradually Updated Neural Networks for Large-Scale Image Recognition at ICML 2018
  ☆10Updated 7 years ago
• wy1iu / NSL
  Implementation for <Neural Similarity Learning> in NeurIPS'19.
  ☆33Updated 4 years ago
• littleredxh / HardNegative
  ☆52Updated 4 years ago
• XinshaoAmosWang / ProSelfLC-AT
  noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.
  ☆59Updated 2 years ago
• gradio-app / history-of-interpretation
  TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
  ☆31Updated 4 years ago
• SHTUPLUS / ContextLab
  ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch
  ☆39Updated 5 years ago
• zihangm / RAL_GNN
  ☆20Updated 6 years ago
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 3 years ago
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 4 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 6 years ago
• ZhangLi-CS / GCP_Optimization
  ☆28Updated 5 years ago
• chenpf1025 / RobustnessAccuracy
  AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
  ☆23Updated 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
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• moskomule / ssl-suite
  SSL using PyTorch
  ☆49Updated 5 years ago
• shashankkotyan / RobustArchitectureSearch
  This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…
  ☆18Updated last year
• ankandrew / online-label-smoothing-pt
  Implementation of Online Label Smoothing in PyTorch
  ☆94Updated 2 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆54Updated 4 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago