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Betty: An Automatic Differentiation Library for Multilevel Optimization
v1v2 (latest)

Betty: An Automatic Differentiation Library for Multilevel Optimization

International Conference on Learning Representations (ICLR), 2022
5 July 2022
Sang Keun Choe
Willie Neiswanger
P. Xie
Eric P. Xing
    AI4CE
ArXiv (abs)PDFHTMLGithub (339★)

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

20 / 20 papers shown
DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training
DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training
Qi Cao
P. Xie
OffRL
206
0
0
05 Sep 2025
DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning
DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning
Qi Cao
Ruiyi Wang
Ruiyi Zhang
Sai Ashish Somayajula
P. Xie
LRM
490
14
0
26 May 2025
A stochastic gradient method for trilevel optimization
A stochastic gradient method for trilevel optimization
Tommaso Giovannelli
G. Kent
Luis Nunes Vicente
227
1
0
11 May 2025
Consistency of Compositional Generalization across Multiple Levels
Consistency of Compositional Generalization across Multiple LevelsAAAI Conference on Artificial Intelligence (AAAI), 2024
Chuanhao Li
Zhen Li
Chenchen Jing
Xiaomeng Fan
Wenbo Ye
Yuwei Wu
Yunde Jia
CoGe
282
1
0
18 Dec 2024
Towards Differentiable Multilevel Optimization: A Gradient-Based
  Approach
Towards Differentiable Multilevel Optimization: A Gradient-Based Approach
Yuntian Gu
Xuzheng Chen
239
0
0
15 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin
Ruiyi Zhang
Pengtao Xie
273
4
0
13 Oct 2024
Rethinking Meta-Learning from a Learning Lens
Rethinking Meta-Learning from a Learning Lens
Wenwen Qiang
Jingyao Wang
Chuxiong Sun
Hui Xiong
Jiangmeng Li
608
3
0
13 Sep 2024
Generative AI Enables Medical Image Segmentation in Ultra Low-Data
  Regimes
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesmedRxiv (medRxiv), 2024
Li Zhang
Basu Jindal
Ahmed Alaa
Robert Weinreb
David Wilson
Eran Segal
James Zou
Pengtao Xie
MedIm
249
22
0
30 Aug 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
Changwen Zheng
Wenwen Qiang
Jianqi Zhang
Changwen Zheng
Jingyao Wang
SSL
427
0
0
19 Jul 2024
Generalizable and Stable Finetuning of Pretrained Language Models on
  Low-Resource Texts
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
Sai Ashish Somayajula
Youwei Liang
Abhishek Singh
Li Zhang
Pengtao Xie
301
4
0
19 Mar 2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient
  Low-Rank Adaptation of Large Pre-trained Models
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models
Rushi Qiang
Ruiyi Zhang
Pengtao Xie
AI4CE
192
13
0
19 Mar 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based
  on Meta Learning
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta LearningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ruiyi Zhang
Rushi Qiang
Sai Ashish Somayajula
Pengtao Xie
342
39
0
14 Mar 2024
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization
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
387
0
0
28 Feb 2024
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning
  of SAM
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM
Li Zhang
Youwei Liang
Ruiyi Zhang
Amirhosein Javadi
Pengtao Xie
VLM
365
14
0
26 Feb 2024
Provably Convergent Federated Trilevel Learning
Provably Convergent Federated Trilevel Learning
Yang Jiao
Kai Yang
Tiancheng Wu
Chen Jian
Jianwei Huang
FedML
365
6
0
19 Dec 2023
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
461
22
0
28 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked
  Auto-Encoder
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-EncoderNeural Information Processing Systems (NeurIPS), 2023
Huiwon Jang
Jihoon Tack
Daewon Choi
Jongheon Jeong
Jinwoo Shin
260
5
0
25 Oct 2023
Making Scalable Meta Learning Practical
Making Scalable Meta Learning PracticalNeural Information Processing Systems (NeurIPS), 2023
Sang Keun Choe
Sanket Vaibhav Mehta
Hwijeen Ahn
Willie Neiswanger
Pengtao Xie
Emma Strubell
Eric Xing
360
22
0
09 Oct 2023
Nystrom Method for Accurate and Scalable Implicit Differentiation
Nystrom Method for Accurate and Scalable Implicit DifferentiationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ryuichiro Hataya
M. Yamada
ODL
381
10
0
20 Feb 2023
TorchOpt: An Efficient Library for Differentiable Optimization
TorchOpt: An Efficient Library for Differentiable OptimizationJournal of machine learning research (JMLR), 2022
Jie Ren
Xidong Feng
Bo Liu
Xuehai Pan
Yao Fu
Kai Zou
Yaodong Yang
227
19
0
13 Nov 2022
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