IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
☆59Jan 19, 2024Updated 2 years ago
Alternatives and similar repositories for IDEAL
Users that are interested in IDEAL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.☆53Jun 11, 2024Updated last year
- ☆17May 2, 2024Updated last year
- ☆12Feb 15, 2025Updated last year
- Regularly Truncated M-estimators for Learning with Noisy Labels☆11Apr 24, 2024Updated last year
- ☆30Jan 7, 2023Updated 3 years ago
- ☆32Mar 24, 2023Updated 3 years ago
- [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"☆19Aug 14, 2024Updated last year
- Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style☆13Jul 3, 2023Updated 2 years ago
- ☆21Jan 28, 2023Updated 3 years ago
- ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples☆12Oct 16, 2023Updated 2 years ago
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆61Dec 16, 2020Updated 5 years ago
- [ICCV-2023] Official code for work "HumanMAC: Masked Motion Completion for Human Motion Prediction".☆323May 5, 2024Updated last year
- Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents☆235May 5, 2025Updated 10 months ago
- ☆10Jun 11, 2025Updated 9 months ago
- NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?☆98Aug 18, 2021Updated 4 years ago
- ☆14Jan 7, 2023Updated 3 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Mar 27, 2023Updated 2 years ago
- ☆14Mar 19, 2020Updated 6 years ago
- ☆17Nov 27, 2023Updated 2 years ago
- ☆18Oct 20, 2024Updated last year
- ☆15Apr 13, 2023Updated 2 years ago
- [MM 2025] Towards Modality Generalization: A Benchmark and Prospective Analysis☆28May 22, 2025Updated 10 months ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Jun 15, 2021Updated 4 years ago
- This repo provides a demo for the ICML 2023 paper "Moderately Distributional Exploration for Domain Generalization" on the PACS dataset.☆15Jun 5, 2023Updated 2 years ago
- ☆15Apr 6, 2023Updated 2 years ago
- Improving Adversarial Robustness via Mutual Information Estimation☆11Apr 2, 2024Updated last year
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆12Oct 12, 2023Updated 2 years ago
- ICCV'2023: Holistic Label Correction for Noisy Multi-Label Classification☆13Oct 29, 2023Updated 2 years ago
- ☆39May 17, 2025Updated 10 months ago
- Official implementation of LaVin-DiT☆53Jan 27, 2025Updated last year
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection☆20Oct 30, 2023Updated 2 years ago
- ☆13Mar 5, 2024Updated 2 years ago
- Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection☆12Oct 12, 2022Updated 3 years ago
- Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]☆10Jan 28, 2024Updated 2 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- Removing Adversarial Noise in Class Activation Feature Space☆14Oct 12, 2023Updated 2 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Nov 18, 2020Updated 5 years ago
- This is the official repository for our NeurIPS'22 paper "Watermarking for Out-of-distribution Detection."☆18Feb 24, 2023Updated 3 years ago