Betty: An Automatic Differentiation Library for Multilevel Optimization

5 July 2022

Papers citing "Betty: An Automatic Differentiation Library for Multilevel Optimization"

21 / 21 papers shown

Title
A stochastic gradient method for trilevel optimization Tommaso Giovannelli G. Kent Luis Nunes Vicente 29 0 0 11 May 2025
Consistency of Compositional Generalization across Multiple Levels Chuanhao Li Zhen Li Chenchen Jing Xiaomeng Fan Wenbo Ye Yuwei Wu Yunde Jia CoGe 79 0 0 18 Dec 2024
Towards Differentiable Multilevel Optimization: A Gradient-Based Approach Yuntian Gu Xuzheng Chen 14 0 0 15 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation Peijia Qin Ruiyi Zhang Pengtao Xie 26 1 0 13 Oct 2024
Rethinking Meta-Learning from a Learning Lens Jingyao Wang Wenwen Qiang Chuxiong Sun Lingyu Si Jiangmeng Li 43 1 0 13 Sep 2024
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes Li Zhang Basu Jindal Ahmed Alaa Robert Weinreb David Wilson Eran Segal James Zou Pengtao Xie MedIm 29 1 0 30 Aug 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective Zeen Song Jingyao Wang Jianqi Zhang Changwen Zheng Wenwen Qiang SSL 56 0 0 19 Jul 2024
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts Sai Ashish Somayajula Youwei Liang Abhishek Singh Li Zhang Pengtao Xie 24 2 0 19 Mar 2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models Rushi Qiang Ruiyi Zhang Pengtao Xie AI4CE 28 8 0 19 Mar 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning Ruiyi Zhang Rushi Qiang Sai Ashish Somayajula Pengtao Xie 27 13 0 14 Mar 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 31 0 0 28 Feb 2024
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM Li Zhang Youwei Liang Ruiyi Zhang Amirhosein Javadi Pengtao Xie VLM 24 8 0 26 Feb 2024
Provably Convergent Federated Trilevel Learning Yang Jiao Kai Yang Tiancheng Wu Chen Jian Jianwei Huang FedML 19 4 0 19 Dec 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 52 12 0 28 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder Huiwon Jang Jihoon Tack Daewon Choi Jongheon Jeong Jinwoo Shin 18 2 0 25 Oct 2023
Making Scalable Meta Learning Practical Sang Keun Choe Sanket Vaibhav Mehta Hwijeen Ahn W. Neiswanger Pengtao Xie Emma Strubell Eric P. Xing 47 14 0 09 Oct 2023
Nystrom Method for Accurate and Scalable Implicit Differentiation Ryuichiro Hataya M. Yamada ODL 29 7 0 20 Feb 2023
TorchOpt: An Efficient Library for Differentiable Optimization Jie Ren Xidong Feng Bo Liu Xuehai Pan Yao Fu Luo Mai Yaodong Yang 24 11 0 13 Nov 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 314 11,681 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 127 405 0 06 Mar 2017