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2306.06101
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Prodigy: An Expeditiously Adaptive Parameter-Free Learner
9 June 2023
Konstantin Mishchenko
Aaron Defazio
ODL
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Papers citing
"Prodigy: An Expeditiously Adaptive Parameter-Free Learner"
43 / 43 papers shown
Title
FLUX-Text: A Simple and Advanced Diffusion Transformer Baseline for Scene Text Editing
Rui Lan
Y. Bai
Xu Duan
M. Li
Lei Sun
X. Chu
DiffM
82
0
0
06 May 2025
Deep Physics Prior for First Order Inverse Optimization
Haoyu Yang
Kamyar Azizzadenesheli
Haoxing Ren
PINN
AI4CE
75
0
0
28 Apr 2025
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
Le Zhuo
Liangbing Zhao
Sayak Paul
Yue Liao
Renrui Zhang
Yi Xin
Peng Gao
Mohamed Elhoseiny
H. Li
VLM
63
0
0
22 Apr 2025
Insert Anything: Image Insertion via In-Context Editing in DiT
Wensong Song
Hong Jiang
Zongxing Yang
Ruijie Quan
Yi Yang
DiffM
40
0
0
21 Apr 2025
DreamFuse: Adaptive Image Fusion with Diffusion Transformer
Junjia Huang
Pengxiang Yan
Jiyang Liu
Jie Wu
Zhao Wang
Yitong Wang
Liang Lin
G. Li
35
0
0
11 Apr 2025
Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation
Robert M. Gower
Guillaume Garrigos
Nicolas Loizou
Dimitris Oikonomou
Konstantin Mishchenko
Fabian Schaipp
31
0
0
02 Apr 2025
IntrinsiX: High-Quality PBR Generation using Image Priors
Peter Kocsis
Lukas Höllein
Matthias Nießner
33
0
0
01 Apr 2025
An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval
Min Cao
Ziyin Zeng
YuXin Lu
Mang Ye
Dong Yi
Jinqiao Wang
SyDa
52
0
0
28 Mar 2025
Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization
Amit Attia
Tomer Koren
59
1
0
13 Mar 2025
OminiControl2: Efficient Conditioning for Diffusion Transformers
Zhenxiong Tan
Qiaochu Xue
Xingyi Yang
Songhua Liu
Xinchao Wang
DiffM
42
0
0
11 Mar 2025
Towards hyperparameter-free optimization with differential privacy
Zhiqi Bu
Ruixuan Liu
24
1
0
02 Mar 2025
ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation
Yifan Pu
Yiming Zhao
Zhicong Tang
Ruihong Yin
Haoxing Ye
...
Ji Li
Xiu Li
Z. Lian
Gao Huang
Baining Guo
DiffM
62
1
0
25 Feb 2025
A Hessian-informed hyperparameter optimization for differential learning rate
Shiyun Xu
Zhiqi Bu
Yiliang Zhang
Ian J. Barnett
39
1
0
12 Jan 2025
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer
Junsheng Luan
Guangyuan Li
Lei Zhao
Wei Xing
DiffM
35
1
0
07 Jan 2025
Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints
Alberto Maté
Mariella Dimiccoli
AI4TS
26
0
0
27 Dec 2024
MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes
Igor Sokolov
Peter Richtárik
72
1
0
22 Dec 2024
No More Adam: Learning Rate Scaling at Initialization is All You Need
Minghao Xu
Lichuan Xiang
Xu Cai
Hongkai Wen
73
2
0
16 Dec 2024
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
Zhiqi Bu
Xiaomeng Jin
Bhanukiran Vinzamuri
Anil Ramakrishna
Kai-Wei Chang
V. Cevher
Mingyi Hong
MU
83
6
0
29 Oct 2024
Tuning-free coreset Markov chain Monte Carlo
Naitong Chen
Jonathan H. Huggins
Trevor Campbell
22
0
0
24 Oct 2024
A second-order-like optimizer with adaptive gradient scaling for deep learning
Jérôme Bolte
Ryan Boustany
Edouard Pauwels
Andrei Purica
ODL
25
0
0
08 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
23
0
0
08 Oct 2024
Old Optimizer, New Norm: An Anthology
Jeremy Bernstein
Laker Newhouse
ODL
36
12
0
30 Sep 2024
Exploring Foundation Models for Synthetic Medical Imaging: A Study on Chest X-Rays and Fine-Tuning Techniques
Davide Clode da Silva
Marina Musse Bernardes
Nathalia Giacomini Ceretta
Gabriel Vaz de Souza
Gabriel Fonseca Silva
Rafael Heitor Bordini
S. Musse
MedIm
LM&MA
23
0
0
06 Sep 2024
Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary Objectives
Aida Afshar
Aldo Pacchiano
29
0
0
07 Aug 2024
Stepping on the Edge: Curvature Aware Learning Rate Tuners
Vincent Roulet
Atish Agarwala
Jean-Bastien Grill
Grzegorz Swirszcz
Mathieu Blondel
Fabian Pedregosa
34
1
0
08 Jul 2024
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
Antonio Orvieto
Lin Xiao
32
2
0
05 Jul 2024
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
Mohamed Amine Ketata
Nicholas Gao
Johanna Sommer
Tom Wollschlager
Stephan Günnemann
DiffM
31
1
0
15 Jun 2024
Fully Unconstrained Online Learning
Ashok Cutkosky
Zakaria Mhammedi
CLL
27
1
0
30 May 2024
Scalable Optimization in the Modular Norm
Tim Large
Yang Liu
Minyoung Huh
Hyojin Bahng
Phillip Isola
Jeremy Bernstein
36
12
0
23 May 2024
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
Nicholas Gao
Stephan Günnemann
33
4
0
23 May 2024
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
27
2
0
21 May 2024
Towards Stability of Parameter-free Optimization
Yijiang Pang
Shuyang Yu
Hoang Bao
Jiayu Zhou
21
1
0
07 May 2024
On Representing Electronic Wave Functions with Sign Equivariant Neural Networks
Nicholas Gao
Stephan Günnemann
29
2
0
08 Mar 2024
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Sayantan Choudhury
N. Tupitsa
Nicolas Loizou
Samuel Horváth
Martin Takáč
Eduard A. Gorbunov
25
1
0
05 Mar 2024
The Price of Adaptivity in Stochastic Convex Optimization
Y. Carmon
Oliver Hinder
18
6
0
16 Feb 2024
How Free is Parameter-Free Stochastic Optimization?
Amit Attia
Tomer Koren
ODL
36
4
0
05 Feb 2024
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
Arsalan Sharifnassab
Saber Salehkaleybar
Richard Sutton
19
3
0
04 Feb 2024
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization
Min-Kook Suh
Seung-Woo Seo
ODL
24
0
0
06 Jan 2024
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
Farshed Abdukhakimov
Chulu Xiang
Dmitry Kamzolov
Robert Mansel Gower
Martin Takáč
27
2
0
28 Dec 2023
Non-Uniform Smoothness for Gradient Descent
A. Berahas
Lindon Roberts
Fred Roosta
18
3
0
15 Nov 2023
ELRA: Exponential learning rate adaption gradient descent optimization method
Alexander Kleinsorge
Stefan Kupper
Alexander Fauck
Felix Rothe
ODL
19
2
0
12 Sep 2023
Estimating class separability of text embeddings with persistent homology
Kostis Gourgoulias
Najah F. Ghalyan
Maxime Labonne
Yash Satsangi
Sean J. Moran
Joseph Sabelja
25
0
0
24 May 2023
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,319
0
05 Nov 2016
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