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Learning from True-False Labels via Multi-modal Prompt Retrieving

24 May 2024

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Papers citing "Learning from True-False Labels via Multi-modal Prompt Retrieving"

36 / 36 papers shown

Title
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning Zhongnian Li Meng Wei Peng Ying Xinzheng Xu 93 1 0 03 Dec 2024
Learning from Concealed Labels Zhongnian Li Meng Wei Peng Ying Tongfeng Sun Xinzheng Xu 116 1 0 03 Dec 2024
Learning from Reduced Labels for Long-Tailed Data Meng Wei Zhongnian Li Yong Zhou Xinzheng Xu 58 1 0 25 Mar 2024
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical Wei Wang Takashi Ishida Yu Zhang Gang Niu Masashi Sugiyama 76 5 0 27 Nov 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins Tiberiu Sosea Cornelia Caragea 76 12 0 17 Aug 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning Cristina Menghini Andrew T. Delworth Stephen H. Bach VLM 122 26 0 02 Jun 2023
Towards Effective Visual Representations for Partial-Label Learning Shiyu Xia Jiaqi Lv Ning Xu Gang Niu Xin Geng VLM SSL 85 29 0 10 May 2023
Visual Instruction Tuning Haotian Liu Chunyuan Li Qingyang Wu Yong Jae Lee SyDa VLM MLLM 569 4,910 0 17 Apr 2023
DETRs with Collaborative Hybrid Assignments Training Zhuofan Zong Guanglu Song Yu Liu ViT 119 325 0 22 Nov 2022
MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak H. Rasheed Muhammad Maaz Salman Khan Fahad Shahbaz Khan VPVLM VLM 256 568 0 06 Oct 2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 53 14 0 28 Sep 2022
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement Ning Xu Congyu Qiao Jiaqi Lv Xin Geng Min-Ling Zhang 40 35 0 01 Jun 2022
Exploring Visual Prompts for Adapting Large-Scale Models Hyojin Bahng Ali Jahanian S. Sankaranarayanan Phillip Isola VLM VPVLM LRM 68 272 0 31 Mar 2022
Visual Prompt Tuning Menglin Jia Luming Tang Bor-Chun Chen Claire Cardie Serge Belongie Bharath Hariharan Ser-Nam Lim VLM VPVLM 155 1,641 0 23 Mar 2022
Conditional Prompt Learning for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VLM CLIP VPVLM 141 1,356 0 10 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 555 4,409 0 28 Jan 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels Xudong Wang Zhi-Li Wu Long Lian Stella X. Yu 103 100 0 05 Jan 2022
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 505 2,409 0 02 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 224 3,989 0 28 Jul 2021
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G. Northcutt Anish Athalye Jonas W. Mueller 79 537 0 26 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,810 0 26 Feb 2021
Open-World Semi-Supervised Learning Kaidi Cao Maria Brbic J. Leskovec BDL 80 187 0 06 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,430 0 22 Oct 2020
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 64 150 0 17 Jul 2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares Alnur Ali Yan Sun Robert Tibshirani 70 77 0 17 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 160 3,572 0 21 Jan 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 75 98 0 30 Dec 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 156 3,033 0 06 May 2019
Complementary-Label Learning for Arbitrary Losses and Models Takashi Ishida Gang Niu A. Menon Masashi Sugiyama VLM 56 113 0 10 Oct 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 480 13,178 0 07 Feb 2018
Robust Loss Functions under Label Noise for Deep Neural Networks Aritra Ghosh Himanshu Kumar P. Sastry NoLa OOD 78 959 0 27 Dec 2017
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 59 198 0 27 Nov 2017
Learning from Complementary Labels Takashi Ishida Gang Niu Weihua Hu Masashi Sugiyama 53 168 0 22 May 2017
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning Tomoya Sakai Gang Niu Masashi Sugiyama 56 61 0 04 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 151 2,738 0 13 Apr 2017
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 85 1,116 0 14 Jun 2016