Modeling and Optimization Trade-off in Meta-learning

24 October 2020

Papers citing "Modeling and Optimization Trade-off in Meta-learning"

10 / 10 papers shown

Title
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck Shikha Surana Manus McAuliffe Oliver Bent Thomas D. Barrett Juan Jose Garau Luis Paul Duckworth AI4CE 28 0 0 10 Oct 2024
Is Pre-training Truly Better Than Meta-Learning? Brando Miranda P. Yu Saumya Goyal Yu-xiong Wang Oluwasanmi Koyejo 44 5 0 24 Jun 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Generalizing Gaussian Smoothing for Random Search Katelyn Gao Ozan Sener 19 14 0 27 Nov 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 30 10 0 02 Aug 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 24 8 0 18 Jun 2022
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 92 544 0 16 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 107 716 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017