Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation

16 June 2021

Papers citing "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation"

48 / 48 papers shown

Title
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 72 1 0 07 Feb 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Victoria Lin Han Zhao Qingfu Zhang James T. Kwok 73 2 0 19 Jan 2025
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models Zaifu Zhan Rui Zhang 78 4 0 16 Dec 2024
Metacognition for Unknown Situations and Environments (MUSE) Rodolfo Valiente Praveen K. Pilly 69 0 0 20 Nov 2024
Multi-head Sequence Tagging Model for Grammatical Error Correction Kamal Al-Sabahi Kang Yang Wangwang Liu Guanyu Jiang Xian Li Ming Yang 30 2 0 21 Oct 2024
Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 27 2 0 02 Oct 2024
Designing Time-Series Models With Hypernetworks & Adversarial Portfolios Filip Stanek AI4TS 21 0 0 29 Jul 2024
Diffusion Models for Multi-Task Generative Modeling Changyou Chen Han Ding Bunyamin Sisman Yi Tian Xu Ouye Xie Benjamin Z. Yao Son Dinh Tran Belinda Zeng DiffM 37 4 0 24 Jul 2024
Hacking Task Confounder in Meta-Learning Jingyao Wang Yi Ren Zeen Song Xingzhe Su Changwen Zheng Wenwen Qiang CML 23 8 0 10 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 22 4 0 01 Dec 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 35 1 0 02 Nov 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 19 11 0 28 Oct 2023
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems Arvind Renganathan Rahul Ghosh A. Khandelwal Vipin Kumar 20 0 0 07 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 30 2 0 02 Oct 2023
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies Tianyu Li Nadia Figueroa 19 7 0 05 Sep 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning Zeen Song Xingzhe Su Jingyao Wang Wenwen Qiang Changwen Zheng Fuchun Sun 26 3 0 18 Jul 2023
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework Lingfeng Sun Haichao Zhang Wei-ping Xu M. Tomizuka 29 8 0 02 Jun 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms Peiyao Xiao Hao Ban Kaiyi Ji 19 18 0 28 May 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning Zhenrui Yue Huimin Zeng Mengfei Lan Heng Ji D. Wang VLM 26 14 0 27 May 2023
How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have Viktor Hangya Alexander M. Fraser 26 0 0 23 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 23 10 0 03 May 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 46 5 0 12 Mar 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 23 7 0 16 Feb 2023
L-HYDRA: Multi-Head Physics-Informed Neural Networks Zongren Zou George Karniadakis AI4CE 16 26 0 05 Jan 2023
Metalearning generalizable dynamics from trajectories Qiaofeng Li Tianyi Wang V. Roychowdhury M. Jawed AI4CE 38 10 0 03 Jan 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach H. Fernando Han Shen Miao Liu Subhajit Chaudhury K. Murugesan Tianyi Chen 21 8 0 23 Oct 2022
Multi-Task Meta Learning: learn how to adapt to unseen tasks Richa Upadhyay Prakash Chandra Chhipa Ronald Phlypo Rajkumar Saini Marcus Liwicki 27 11 0 13 Oct 2022
Association Graph Learning for Multi-Task Classification with Category Shifts Jiayi Shen Zehao Xiao Xiantong Zhen Cees G. M. Snoek M. Worring OOD 31 4 0 10 Oct 2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye Ruichen Jiang Haoxiang Wang Dhruv Choudhary Xiaocong Du Bhargav Bhushanam Aryan Mokhtari A. Kejariwal Qiang Liu TTA OOD AI4TS 29 8 0 02 Sep 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 30 12 0 15 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection Bingqing Chen Luca Bondi Samarjit Das 62 7 0 05 Apr 2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression Jiacheng Zhu Gregory Darnell Agni Kumar Ding Zhao Bo-wen Li X. Nguyen S. Ren OOD 22 5 0 19 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 19 27 0 17 Mar 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 75 0 07 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 16 4 0 05 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer Yuan Yin Jérémie Donà Nicolas Baskiotis A. Rakotomamonjy Patrick Gallinari OOD AI4CE 22 32 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 70 42 0 01 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Bo-wen Li Han Zhao OOD 48 32 0 30 Jan 2022
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning Andrei Boiarov K. Khabarlak Igor Yastrebov 21 0 0 25 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 30 10 0 14 Oct 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 24 6 0 06 Jul 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks F. Liu Shuyu Zhao Xuelong Dai Bin Xiao VLM 16 7 0 22 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation Huaxiu Yao Linjun Zhang Chelsea Finn 28 54 0 04 Jun 2021
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 42 10 0 05 Oct 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,950 0 20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017