Alternatives and similar repositories for OrdinalEntropy

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

• ENSTA-U2IS-AI / LDU
  Latent Discriminant deterministic Uncertainty [ECCV2022]
  ☆42Updated 3 years ago
• MinaGhadimiAtigh / HyperbolicImageSegmentation
  Hyperbolic Image Segmentation, CVPR 2022
  ☆88Updated 2 years ago
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆87Updated last year
• Haoqing-Wang / InfoCL
  [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
  ☆69Updated last year
• rishikksh20 / ResMLP-pytorch
  ResMLP: Feedforward networks for image classification with data-efficient training
  ☆43Updated 4 years ago
• ytaek-oh / daso
  Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.
  ☆72Updated 3 years ago
• XuZhengzhuo / LiVT
  LiVT PyTorch Implementation.
  ☆71Updated 2 years ago
• ucasligang / SemMAE
  [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders
  ☆38Updated 2 years ago
• yingyichen-cyy / KEP-SVGP
  (ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"
  ☆16Updated 9 months ago
• Jiahao000 / MFM
  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training
  ☆77Updated 2 years ago
• lixiaotong97 / DSU
  [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …
  ☆161Updated 3 years ago
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆49Updated 2 years ago
• zhenxingjian / Partial_Distance_Correlation
  This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
  ☆175Updated 2 years ago
• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆39Updated 3 years ago
• seon92 / GOL
  [NeurIPS 2022] Geometric order learning for rank estimation
  ☆17Updated last year
• shashankvkt / AlignMixup_CVPR22
  Official Implementation of AlignMixup - CVPR 2022
  ☆71Updated 3 years ago
• antonbaumann / MIMO-Unet
  PyTorch implementation of Probabilistic MIMO U-Net
  ☆23Updated 11 months ago
• minhtannguyen / FourierFormer_NeurIPS
  ☆13Updated 2 years ago
• kahnchana / opl
  Official repository for "Orthogonal Projection Loss" (ICCV'21)
  ☆125Updated 3 years ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• VITA-Group / ViT-Anti-Oversmoothing
  [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…
  ☆80Updated last year
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆67Updated last year
• JingZhang617 / UncertaintyEstimation
  ☆49Updated 3 years ago
• bytedance / TWIST
  Official codes: Self-Supervised Learning by Estimating Twin Class Distribution
  ☆100Updated 3 years ago
• val-iisc / SDAT
  [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
  ☆69Updated last year
• vita-epfl / ttt-plus-plus
  [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• MrChenFeng / MaskCon_CVPR2023
  MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)
  ☆34Updated 4 months ago
• yhlleo / VTs-Drloc
  [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".
  ☆144Updated 7 months ago
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆52Updated last year
• CoinCheung / MFM
  code for paper "Masked Frequency Modeling for Self-Supervised Visual Pre-Training" (https://arxiv.org/pdf/2206.07706.pdf)
  ☆24Updated 2 years ago