On Implicit Bias in Overparameterized Bilevel Optimization

On Implicit Bias in Overparameterized Bilevel Optimization

28 December 2022

Paul Vicol

Fabian Pedregosa

Roger C. Grosse

Papers citing "On Implicit Bias in Overparameterized Bilevel Optimization"

10 / 10 papers shown

Title
JacNet: Learning Functions with Structured Jacobians Jonathan Lorraine Safwan Hossain 42 6 0 23 Aug 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward Neta Glazer Aviv Navon Aviv Shamsian Ethan Fetaya 27 0 0 17 Feb 2024
Gradient constrained sharpness-aware prompt learning for vision-language models Liangchen Liu Nannan Wang Dawei Zhou Xinbo Gao Decheng Liu Xi Yang Tongliang Liu VLM 27 2 0 14 Sep 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 29 41 0 13 Feb 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 44 4 0 26 Aug 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 28 24 0 19 Apr 2022
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 104 716 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016