Making Scalable Meta Learning Practical

9 October 2023

Papers citing "Making Scalable Meta Learning Practical"

9 / 9 papers shown

Title
Scalable Meta-Learning via Mixed-Mode Differentiation Iurii Kemaev Dan A Calian Luisa M Zintgraf Gregory Farquhar H. V. Hasselt 54 0 0 01 May 2025
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 88 1 0 02 Oct 2024
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization Han Guo Ramtin Hosseini Ruiyi Zhang Sai Ashish Somayajula Ranak Roy Chowdhury Rajesh K. Gupta Pengtao Xie 26 0 0 28 Feb 2024
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Mao Ye B. Liu S. Wright Peter Stone Qian Liu 72 82 0 19 Sep 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,815 0 17 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 715 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 112 404 0 06 Mar 2017