The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023
☆54Sep 15, 2023Updated 2 years ago
Alternatives and similar repositories for OrdinalEntropy
Users that are interested in OrdinalEntropy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Contrastive Regularizer☆15Feb 15, 2024Updated 2 years ago
- [ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression☆19Apr 1, 2025Updated 11 months ago
- Deep Ordinal Regression Network for Monocular Depth Estimation☆12Oct 19, 2020Updated 5 years ago
- The code of "Deep Regression Representation Learning with Topology" in ICML 2024☆14Jul 4, 2024Updated last year
- [NeurIPS 2022] Geometric order learning for rank estimation☆17Jan 11, 2024Updated 2 years ago
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆28May 23, 2022Updated 3 years ago
- [NeurIP'22] OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression☆55Nov 16, 2024Updated last year
- Repository of the COLING 2022 paper : Ordinal Log-Loss - A simple log-based loss function for ordinal text classification.☆32Mar 17, 2023Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- PyTorch re-implementation of Hierarchical Normalization for Robust Monocular Depth Estimation☆21Dec 8, 2022Updated 3 years ago
- ☆18Sep 23, 2024Updated last year
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling☆21Dec 28, 2025Updated 2 months ago
- Deep Ordinal Regression with Label Diversity☆24Jun 15, 2021Updated 4 years ago
- ☆17Sep 3, 2024Updated last year
- Bayesian low-rank adaptation for large language models☆28May 4, 2024Updated last year
- [NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation☆91Dec 30, 2024Updated last year
- Gallery Filter Network for Person Search☆24Aug 29, 2024Updated last year
- Accompaning repository for the 2022 ICRA paper "Lightweight Monocular Depth Estimation through Guided Decoding"☆50Oct 16, 2024Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- C-Mixup for NeurIPS 2022☆74Dec 17, 2023Updated 2 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆136Feb 28, 2024Updated 2 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆50Dec 14, 2022Updated 3 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆53Oct 28, 2022Updated 3 years ago
- OrdinalSafe is your gateway to digital artifacts on Bitcoin. Manage your assets with ease.☆10Sep 18, 2023Updated 2 years ago
- Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation☆34Mar 28, 2023Updated 2 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆911Mar 22, 2022Updated 4 years ago
- Neural event extraction on ACE☆25Nov 8, 2017Updated 8 years ago
- Code for Paper "PMAES: Prompt-mapping Contrastive Learning for Cross-prompt Automated Essay Scoring" ACL2023☆11Oct 6, 2023Updated 2 years ago
- Intelligent Assistant for People with Low Vision Abilities☆10May 11, 2018Updated 7 years ago
- Ordinals Ord20 Meta Protocol Indexer☆12May 7, 2025Updated 10 months ago
- Placeholder☆10Jul 17, 2023Updated 2 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- [ECCV 2024] The Official Code for "Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution"☆39Jul 25, 2024Updated last year
- repo of 3d ordinal layout estimation☆15Jan 25, 2024Updated 2 years ago
- ☆24Jul 31, 2024Updated last year
- This repository contains the code for the paper "TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back)…☆13Feb 25, 2026Updated 3 weeks ago