Unsupervised Learning via Meta-Learning

4 October 2018

Papers citing "Unsupervised Learning via Meta-Learning"

50 / 53 papers shown

Title
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 195 0 0 25 Apr 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 68 0 0 12 Mar 2025
VideoSAM: Open-World Video Segmentation Pinxue Guo Zixu Zhao Jianxiong Gao Chongruo Wu Tong He Zheng Zhang Tianjun Xiao Wenqiang Zhang VOS 31 0 0 11 Oct 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 45 3 0 30 Aug 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction Yuan Xue Nan Du A. Mottram Martin G. Seneviratne Andrew M. Dai AI4TS 46 0 0 28 Jul 2024
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice Jian-Qiao Zhu Haijiang Yan Thomas L. Griffiths 84 2 0 29 May 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 64 0 0 25 May 2024
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 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 21 31 0 02 Mar 2023
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning Yukun Cao Xike Xie Kexin Huang 31 4 0 07 Dec 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 20 0 0 14 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 32 7 0 27 Sep 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 40 3 0 14 Jul 2022
Interpolating Compressed Parameter Subspaces Siddhartha Datta N. Shadbolt 37 5 0 19 May 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 45 4 0 15 Feb 2022
Learning from One and Only One Shot Haizi Yu Igor Mineyev L. Varshney James A. Evans VLM 41 3 0 14 Jan 2022
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 51 19 0 02 Nov 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 27 8 0 09 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation Jay Patravali Gaurav Mittal Ye Yu Fuxin Li Mei Chen 18 19 0 30 Sep 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications Sai Vidyaranya Nuthalapati Anirudh Tunga 30 31 0 21 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 34 17 0 09 Aug 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 35 19 0 23 Jul 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 22 2 0 21 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 24 18 0 16 Jun 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering Tuong Khanh Long Do Binh X. Nguyen Erman Tjiputra Minh-Ngoc Tran Quang-Dieu Tran A. Nguyen 38 98 0 19 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 64 96 0 17 May 2021
Representation Learning for Clustering via Building Consensus A. Deshmukh Jayanth Reddy Regatti Eren Manavoglu Ürün Dogan SSL 24 9 0 04 May 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 29 147 0 28 Apr 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 27 6 0 19 Apr 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification Fengxiang Yang Zhun Zhong Zhiming Luo Yuanzheng Cai Yaojin Lin Shaozi Li N. Sebe NoLa 27 111 0 08 Mar 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 61 35 0 23 Jan 2021
Consensus Clustering With Unsupervised Representation Learning Jayanth Reddy Regatti A. Deshmukh Eren Manavoglu Ürün Dogan OOD SSL 26 20 0 03 Oct 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Tsendsuren Munkhdalai Andrew McCallum SSL VLM 22 87 0 17 Sep 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification Carlos Medina A. Devos Matthias Grossglauser SSL 26 50 0 19 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 58 1,935 0 11 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 31 20 0 29 Mar 2020
Evolving Losses for Unsupervised Video Representation Learning A. Piergiovanni A. Angelova Michael S. Ryoo SSL 27 138 0 26 Feb 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Philip Torr SSL 34 59 0 12 Jan 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 14 86 0 10 Sep 2019
Meta-Learning via Learned Loss Sarah Bechtle Artem Molchanov Yevgen Chebotar Edward Grefenstette Ludovic Righetti Gaurav Sukhatme Franziska Meier 18 110 0 12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Using learned optimizers to make models robust to input noise Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Narain Sohl-Dickstein E. D. Cubuk VLM OOD 17 26 0 08 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 19 8 0 01 Jun 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time Gabriel Huang Hugo Larochelle Simon Lacoste-Julien SSL OOD 32 21 0 22 Feb 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 56 657 0 10 Dec 2018