Alternatives and similar repositories for screenkhorn:

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

• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 5 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• albietz / kernel_reg
  Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
  ☆22Updated 5 years ago
• M-Elfeki / GDPP
  Generator loss to reduce mode-collapse and to improve the generated samples quality.
  ☆34Updated 5 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year
• xieyujia / IPOT
  Implementation of Inexact Proximal point method for Optimal Transport
  ☆47Updated 3 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆28Updated 5 years ago
• BaoWangMath / EnResNet
  ☆19Updated 5 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
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 3 years ago
• shengliu66 / ConvNorm
  Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
  ☆30Updated 2 years ago
• CogComp / TAWT
  Weighted Training for Cross-Task Learning
  ☆15Updated 2 years ago
• naiqili / DDPM
  This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)
  ☆13Updated 2 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 6 years ago
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 3 years ago
• meyerscetbon / LinearSinkhorn
  ☆16Updated 4 years ago
• Sunarker / Safeguarded-Dynamic-Label-Regression-for-Noisy-Supervision
  ☆9Updated last year
• sverneka / OODGen
  Out-of-distribution Detection via Generation - NeurIPS 2019
  ☆18Updated 5 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 years ago
• LARS-research / S2E
  Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
  ☆22Updated 4 years ago
• dcmoyer / inv-rep
  Code for Invariant Rep. Without Adversaries (NIPS 2018)
  ☆35Updated 5 years ago
• alvinchangw / IGAM_CVPR2020
  Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)
  ☆16Updated 2 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆42Updated 2 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 3 years ago
• minicheshire / InResNet
  Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749
  ☆26Updated 4 years ago
• ZichenMiao / L3Net
  ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters
  ☆15Updated 4 years ago