Prodigy: An Expeditiously Adaptive Parameter-Free Learner

9 June 2023

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