ZhenWang-PhD / Training-Noise-Robust-Deep-Neural-Networks-via-Meta-LearningView external linksLinks
Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’
☆20Oct 6, 2020Updated 5 years ago
Alternatives and similar repositories for Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning
Users that are interested in Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning are comparing it to the libraries listed below
Sorting:
- ☆28Dec 9, 2021Updated 4 years ago
- Reading list for deep learning in Computer Vision and Medical Image Analysis☆12Nov 2, 2021Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆292Dec 14, 2021Updated 4 years ago
- ☆17Feb 6, 2023Updated 3 years ago
- Meta-Learning based Noise-Tolerant Training☆123Aug 16, 2020Updated 5 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆22Jun 30, 2019Updated 6 years ago
- Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting https://arxiv.org/abs/2108.08023…☆22Sep 9, 2021Updated 4 years ago
- Official code for the paper "Meta Soft Label Generation for Noisy Labels" accepted at ICPR 2020.☆21Oct 12, 2020Updated 5 years ago
- A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems☆20Nov 28, 2020Updated 5 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆32Sep 18, 2019Updated 6 years ago
- Java In Memory DataBase☆13Aug 17, 2018Updated 7 years ago
- A model named ATMOL for predicting molecular property☆10May 2, 2022Updated 3 years ago
- Python framework for data evaluation and crack width monitoring with distributed fibre optic sensors☆10Feb 10, 2026Updated last week
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆35Feb 24, 2021Updated 4 years ago
- ☆46Dec 20, 2020Updated 5 years ago
- ssr-backup☆10Dec 9, 2019Updated 6 years ago
- [KDD'22] Partial Label Learning with Discrimination Augmentation☆10May 21, 2024Updated last year
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Jun 9, 2021Updated 4 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Oct 20, 2021Updated 4 years ago
- [CVPR 2021] FMO Deblurring Benchmark☆13Jan 12, 2022Updated 4 years ago
- Pytorch version of Continuous Language Generative Flow (ACL 2021)☆11Sep 14, 2021Updated 4 years ago
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆49Mar 18, 2023Updated 2 years ago
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆43May 18, 2023Updated 2 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆236Sep 20, 2021Updated 4 years ago
- Official implementation of "In-style: Bridging Text and Uncurated Videos with Style Transfer for Cross-modal Retrieval." ICCV 2023☆11Oct 5, 2023Updated 2 years ago
- Pytorch package for geometric softmax☆12Jun 13, 2019Updated 6 years ago
- [Under Progress] Code & Data for the AAAI 2020 Paper "Likelihood Ratios and Generative Classifiers For Unsupervised OOD Detection In Task…☆10Jul 25, 2024Updated last year
- ☆10Nov 18, 2022Updated 3 years ago
- [CVPR-2022] ''Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches'', IEEE Conf. on Computer Vision and Pattern Reco…☆11May 30, 2022Updated 3 years ago
- PyTorch Implementation for InMaP☆11Oct 28, 2023Updated 2 years ago
- Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models☆14Oct 6, 2024Updated last year
- Gstreamer based Edge AI reference application☆12Feb 26, 2024Updated last year
- Poet: Product-oriented Video Captioner for E-commerce☆12Sep 21, 2020Updated 5 years ago
- ☆10Oct 31, 2022Updated 3 years ago
- Multilabel Out-of-Distribution Detection☆10Nov 23, 2020Updated 5 years ago
- [JMLR] Gradual Domain Adaptation: Theory and Algorithms☆11Jan 14, 2025Updated last year
- Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis☆39Dec 10, 2018Updated 7 years ago
- implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network☆38Mar 12, 2019Updated 6 years ago
- ☆12Jun 9, 2021Updated 4 years ago