learn2learn: A Library for Meta-Learning Research

27 August 2020

Sébastien M. R. Arnold

Praateek Mahajan

Debajyoti Datta

Ian Bunner

Konstantinos Saitas Zarkias

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Papers citing "learn2learn: A Library for Meta-Learning Research"

28 / 28 papers shown

Title
Scalable Meta-Learning via Mixed-Mode Differentiation Iurii Kemaev Dan A Calian Luisa M Zintgraf Gregory Farquhar H. V. Hasselt 57 0 0 01 May 2025
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee Henry Gouk Timothy M. Hospedales Minyoung Kim 53 0 0 10 Feb 2025
Fully First-Order Methods for Decentralized Bilevel Optimization Xiaoyu Wang Xuxing Chen Shiqian Ma Tong Zhang 38 0 0 25 Oct 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations Nils Wandel Stefan Schulz Reinhard Klein PINN AI4CE 51 0 0 10 Oct 2024
Writer adaptation for offline text recognition: An exploration of neural network-based methods Tobias van der Werff Maruf A. Dhali Lambert Schomaker 47 0 0 11 Jul 2023
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
Hypernetworks for Zero-shot Transfer in Reinforcement Learning S. Rezaei-Shoshtari Charlotte Morissette F. Hogan Gregory Dudek D. Meger OffRL 17 14 0 28 Nov 2022
Meta-Learning of Neural State-Space Models Using Data From Similar Systems Ankush Chakrabarty G. Wichern C. Laughman 43 12 0 14 Nov 2022
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? Théo Morales G. Lacey OOD 35 0 0 31 Oct 2022
Boosting Natural Language Generation from Instructions with Meta-Learning Budhaditya Deb Guoqing Zheng Ahmed Hassan Awadallah 24 13 0 20 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 32 1 0 03 Oct 2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments Desik Rengarajan Sapana Chaudhary JaeWon Kim D. Kalathil S. Shakkottai OffRL 29 2 0 26 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 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 32 10 0 02 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 49 10 0 06 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe W. Neiswanger P. Xie Eric P. Xing AI4CE 31 30 0 05 Jul 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 24 47 0 12 Apr 2022
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition Silvan Ferreira Esdras Costa M. Dahia J. Rocha SLR 19 1 0 05 Apr 2022
TIML: Task-Informed Meta-Learning for Agriculture Gabriel Tseng Hannah Kerner David Rolnick 19 7 0 04 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation Ileana Rugina Rumen Dangovski Mark S. Veillette Pooya Khorrami Brian Cheung Olga Simek M. Soljavcić VLM SSL 25 2 0 22 Dec 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 31 9 0 15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 205 104 0 15 Jul 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages E. Ponti Rahul Aralikatte Disha Shrivastava Siva Reddy Anders Søgaard 40 16 0 02 Jun 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 27 34 0 12 Feb 2021
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017