ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
☆78Jun 15, 2021Updated 4 years ago
Alternatives and similar repositories for CDR
Users that are interested in CDR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆61Dec 16, 2020Updated 5 years ago
- NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?☆98Aug 18, 2021Updated 4 years ago
- ☆14Jan 7, 2023Updated 3 years ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆12Oct 12, 2023Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Mar 28, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- NeurIPS'2022: Pluralistic Image Completion with Gaussian Mixture Models☆14Jan 28, 2023Updated 3 years ago
- ☆17May 2, 2024Updated last year
- Removing Adversarial Noise in Class Activation Feature Space☆14Oct 12, 2023Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300May 22, 2023Updated 2 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Feb 24, 2021Updated 5 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Nov 29, 2021Updated 4 years ago
- pytorch☆10Apr 13, 2022Updated 4 years ago
- Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.☆54Jun 11, 2024Updated last year
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Jun 9, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Improving Adversarial Robustness via Mutual Information Estimation☆11Apr 2, 2024Updated 2 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Mar 27, 2023Updated 3 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data（ICCV2023）☆20Sep 27, 2023Updated 2 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆63Oct 10, 2024Updated last year
- ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples☆12Oct 16, 2023Updated 2 years ago
- ☆21Jan 28, 2023Updated 3 years ago
- [Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)☆14Sep 3, 2024Updated last year
- Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style☆13Jul 3, 2023Updated 2 years ago
- ☆15Apr 13, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆46Oct 29, 2022Updated 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 the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆129Nov 12, 2019Updated 6 years ago
- A curated (most recent) list of resources for Learning with Noisy Labels☆723Oct 18, 2024Updated last year
- Learning from noisy labels via regularization between representations☆11Feb 28, 2023Updated 3 years ago
- ☆28Dec 9, 2021Updated 4 years ago
- Meta Label Correction for Noisy Label Learning☆86Sep 28, 2022Updated 3 years ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆15Apr 18, 2022Updated 3 years ago
- (ICLR 2025 Spotlight) DEEM: Official implementation of Diffusion models serve as the eyes of large language models for image perception.☆51Jul 1, 2025Updated 9 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [NeurIPS 2025] L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models☆25Oct 29, 2025Updated 5 months ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆42May 2, 2021Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Jul 5, 2024Updated last year
- [IJCAI 2023] ProMix: Combating Label Noise via Maximizing Clean Sample Utility☆81May 10, 2024Updated last year
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Jul 19, 2022Updated 3 years ago
- Learning with Noisy Labels by adopting a peer prediction loss function.☆35Mar 3, 2020Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Jun 6, 2023Updated 2 years ago