NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?
☆99Aug 18, 2021Updated 4 years ago
Alternatives and similar repositories for T-Revision
Users that are interested in T-Revision are comparing it to the libraries listed below
Sorting:
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆61Dec 16, 2020Updated 5 years ago
- ☆15Jul 29, 2023Updated 2 years ago
- Regularly Truncated M-estimators for Learning with Noisy Labels☆11Apr 24, 2024Updated last year
- ☆17Nov 27, 2023Updated 2 years ago
- NeurIPS'18: Masking: A New Perspective of Noisy Supervision☆55Nov 29, 2018Updated 7 years ago
- NeurIPS'2022: Pluralistic Image Completion with Gaussian Mixture Models☆14Jan 28, 2023Updated 3 years ago
- ☆13Jun 9, 2021Updated 4 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆23Aug 23, 2020Updated 5 years ago
- ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples☆12Oct 16, 2023Updated 2 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆32Sep 18, 2019Updated 6 years ago
- ☆21Jan 28, 2023Updated 3 years ago
- Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.☆53Jun 11, 2024Updated last year
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆18Mar 3, 2023Updated 3 years ago
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆59Jan 19, 2024Updated 2 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Jul 5, 2019Updated 6 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆22Jun 30, 2019Updated 6 years ago
- pytorch☆10Apr 13, 2022Updated 3 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Dec 10, 2020Updated 5 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Jun 11, 2024Updated last year
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Jul 19, 2022Updated 3 years ago
- [NeurIPS 2025] An official source code for paper "L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models"☆23Oct 29, 2025Updated 4 months ago
- A PyTorch Lightning template to try out a wide range of ideas on the Ubiquant Market Prediction competition without modifying any code!☆12Mar 24, 2022Updated 3 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆130Oct 17, 2021Updated 4 years ago
- [MM 2025] Towards Modality Generalization: A Benchmark and Prospective Analysis☆28May 22, 2025Updated 9 months ago
- ICCV'2023: Holistic Label Correction for Noisy Multi-Label Classification☆13Oct 29, 2023Updated 2 years ago
- ☆15Apr 13, 2023Updated 2 years ago
- Official Code Repository for Diagnosing Colorectal Polyps in the Wild with Capsule Networks☆16Nov 22, 2022Updated 3 years ago
- ☆14Mar 19, 2020Updated 5 years ago
- This repository is unmaintained, please see lumo for details.☆10Mar 19, 2023Updated 2 years ago
- Code repository for the robust active label correction paper.☆11Apr 12, 2018Updated 7 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆50Aug 17, 2025Updated 6 months ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 3 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 4 years ago
- Source Code for "Dual-Level Knowledge Distillation via Knowledge Alignment and Correlation", TNNLS, https://ieeexplore.ieee.org/abstract/…☆12Dec 21, 2022Updated 3 years ago
- Algorithm to simulate resection surgery on brain MRI scans. Published in MICCAI 2020, extended in IJCARS.☆14Jan 22, 2026Updated last month
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆28Feb 6, 2020Updated 6 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆575Sep 14, 2020Updated 5 years ago
- ☆14Jan 7, 2023Updated 3 years ago
- ☆13Jan 8, 2020Updated 6 years ago