needylove / OrdinalEntropyLinks
The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023
☆51Updated last year
Alternatives and similar repositories for OrdinalEntropy
Users that are interested in OrdinalEntropy are comparing it to the libraries listed below
Sorting:
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆41Updated 2 years ago
- Hyperbolic Image Segmentation, CVPR 2022☆86Updated 2 years ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆83Updated last year
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.☆65Updated 2 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆50Updated 2 years ago
- Universal Representations: A Unified Look at Multiple Task and Domain Learning☆43Updated last year
- ☆43Updated last year
- Towards Unified and Effective Domain Generalization☆31Updated last year
- Code for "Dual Focal Loss for Calibration" (ICML 2023)☆32Updated last month
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- PyTorch implementation of Probabilistic MIMO U-Net☆21Updated 9 months ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆71Updated 2 years ago
- [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning☆68Updated last year
- Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022☆49Updated 2 years ago
- official implemntation for "Contrastive Learning with Stronger Augmentations"☆58Updated 3 years ago
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆24Updated last year
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated 2 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆67Updated 4 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆173Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆76Updated 2 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆51Updated 4 years ago