Meta Pseudo Labels

23 March 2020

Papers citing "Meta Pseudo Labels"

50 / 128 papers shown

Title
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification Arezoo Hatefi Xuan-Son Vu Monowar Bhuyan Frank Drewes VLM 32 0 0 10 May 2025
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning David Aparco-Cardenas Jancarlo F. Gomes Alexandre X. Falcão Pedro J. de Rezende 46 0 0 25 Apr 2025
Unlock the Power of Unlabeled Data in Language Driving Model Chaoqun Wang Jie-jin Yang Xiaobin Hong Ruimao Zhang 53 0 0 13 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification Siyi Du Xinzhe Luo D. O’Regan Chen Qin 69 0 0 08 Mar 2025
Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations Junsong Zhang Chunyu Lin Zhijie Shen Lang Nie K. Liao Yao Zhao 35 0 0 03 Mar 2025
Knowledge Distillation with Adapted Weight Sirong Wu Xi Luo Junjie Liu Yuhui Deng 40 0 0 06 Jan 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 175 1 0 14 Dec 2024
Heuristic-Free Multi-Teacher Learning Huy Thong Nguyen En-Hung Chu Lenord Melvix Jazon Jiao Chunglin Wen Benjamin Louie 77 0 0 19 Nov 2024
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation Ruting Chi Zhiyi Huang Yuexing Han ISeg 35 0 0 21 Oct 2024
Browsing without Third-Party Cookies: What Do You See? Maxwell Lin Shihan Lin Helen Wu Karen Wang Xiaowei Yang BDL 56 0 0 14 Oct 2024
Linear Projections of Teacher Embeddings for Few-Class Distillation Noel Loo Fotis Iliopoulos Wei Hu Erik Vee 30 0 0 30 Sep 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training Kun Song Zhiquan Tan Bochao Zou Jiansheng Chen Huimin Ma Weiran Huang 42 0 0 25 Sep 2024
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning Eric Li Yifan Zhang Yu Huang Kevin Leach 34 0 0 20 Sep 2024
Semi-supervised Concept Bottleneck Models Lijie Hu Tianhao Huang Huanyi Xie Chenyang Ren Zhengyu Hu Lu Yu Lu Yu Ping Ma Di Wang 57 4 0 27 Jun 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning Zhiyu Wu Jinshi Cui 41 2 0 22 Jun 2024
Reinforcement Learning-Guided Semi-Supervised Learning Marzi Heidari Hanping Zhang Yuhong Guo OffRL 36 0 0 02 May 2024
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation Bin Zhao Chunshi Wang Shuxue Ding 43 2 0 01 May 2024
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models Fei Pan Sangryul Jeon Brian Wang Frank Mckenna Stella X. Yu 44 2 0 19 Dec 2023
Meta Co-Training: Two Views are Better than One Jay C. Rothenberger Dimitrios I. Diochnos VLM 34 2 0 29 Nov 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 33 0 0 10 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 35 9 0 04 Oct 2023
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification Md Junaid Mahmood Pranaw Raj Divyansh Agarwal S. Kumari Pravendra Singh 28 7 0 10 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 56 4 0 05 Jul 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training Komal K. Teru 35 5 0 16 Jun 2023
Semi-supervised learning made simple with self-supervised clustering Enrico Fini Pietro Astolfi Alahari Karteek Xavier Alameda-Pineda Julien Mairal Moin Nabi Elisa Ricci SSL 39 25 0 13 Jun 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 34 12 0 22 May 2023
Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation Yuxin Ren Zi-Qi Zhong Xingjian Shi Yi Zhu Chun Yuan Mu Li 21 7 0 16 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 26 4 0 04 May 2023
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime Chuhan Zhang Antoine Miech Jiajun Shen Jean-Baptiste Alayrac Pauline Luc VLM VPVLM 39 2 0 03 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao Wang Yifan Zhang 53 6 0 26 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee K. Wong 43 16 0 14 Apr 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 15 31 0 02 Mar 2023
Transformadores: Fundamentos teoricos y Aplicaciones J. D. L. Torre 75 0 0 18 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors Linwei Tao Minjing Dong Daochang Liu Changming Sun Chang Xu BDL UQCV 12 5 0 13 Feb 2023
Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning B. C. Benato A. X. Falcão A. Telea 25 4 0 06 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 29 5 0 03 Feb 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 22 141 0 26 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 41 9 0 12 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning Seyyed Amirhossein Ameli Kalkhoran Mohammadamin Banayeeanzade Mahdi Samiei M. Baghshah BDL CLL 23 0 0 11 Jan 2023
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption Matthias Mitterreiter Marcel Koch Joachim Giesen Soren Laue 3DPC MedIm 25 13 0 04 Jan 2023
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers Haojie Yu Kangnian Zhao Xiaoming Xu ViT 31 1 0 04 Jan 2023
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher Kei-Sing Ng Qingchen Wang VLM 21 1 0 27 Dec 2022
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 37 13 0 13 Dec 2022
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling Qinyi Deng Yong Guo Zhibang Yang Haolin Pan Jian Chen 35 10 0 13 Dec 2022
Adaptive Self-Training for Object Detection Renaud Vandeghen Gilles Louppe Marc Van Droogenbroeck ObjD 38 7 0 07 Dec 2022
Semi-Supervised Lifelong Language Learning Ying Zhao Yinhe Zheng Yu Bowen Zhiliang Tian Dongkyu Lee Jian Sun Haiyang Yu Yongbin Li N. Zhang CLL KELM 40 3 0 23 Nov 2022
RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection Lin Zhang Xin Li Dongliang He Fu Li Yili Wang Zhao Zhang 27 13 0 08 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching Yu Yang Xiaotian Cheng Hakan Bilen Xiangyang Ji GAN 29 7 0 06 Nov 2022
Adversarial Policies Beat Superhuman Go AIs T. T. Wang Adam Gleave Tom Tseng Kellin Pelrine Nora Belrose ... Michael Dennis Yawen Duan V. Pogrebniak Sergey Levine Stuart Russell AAML 13 21 0 01 Nov 2022