Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

15 October 2024

Yiding Jiang

Papers citing "Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws"

27 / 27 papers shown

Title
Data Mixing Can Induce Phase Transitions in Knowledge Acquisition Xinran Gu Kaifeng Lyu Jiazheng Li Jingzhao Zhang 75 0 0 23 May 2025
OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training Juntao Zhao Qi Lu Wei Jia Borui Wan Lei Zuo ... Size Zheng Yanghua Peng H. Lin Xin Liu Chuan Wu AI4CE 132 0 0 14 Apr 2025
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions Emmy Liu Amanda Bertsch Lintang Sutawika Lindia Tjuatja Patrick Fernandes ... Siyang Song Carolin (Haas) Lawrence Aditi Raghunathan Kiril Gashteovski Graham Neubig 260 3 0 05 Mar 2025
Mixtera: A Data Plane for Foundation Model Training Maximilian Böther Xiaozhe Yao Tolga Kerimoglu Ana Klimovic Viktor Gsteiger Ana Klimovic MoE 180 0 0 27 Feb 2025
MixMin: Finding Data Mixtures via Convex Minimization Anvith Thudi Evianne Rovers Yangjun Ruan Tristan Thrush Chris J. Maddison 101 0 0 14 Feb 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 483 0 0 01 Dec 2024
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets Tianjian Li Haoran Xu Weiting Tan Kenton Murray Daniel Khashabi 116 1 0 06 Oct 2024
Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic Sachin Goyal Pratyush Maini Zachary Chase Lipton Aditi Raghunathan J. Zico Kolter 100 46 0 10 Apr 2024
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance Jiasheng Ye Peiju Liu Tianxiang Sun Yunhua Zhou Jun Zhan Xipeng Qiu 121 76 0 25 Mar 2024
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning Ziheng Qin Kaidi Wang Zangwei Zheng Jianyang Gu Xiang Peng ... Daquan Zhou Lei Shang Baigui Sun Xuansong Xie Yang You 183 53 0 08 Mar 2023
Beyond neural scaling laws: beating power law scaling via data pruning Ben Sorscher Robert Geirhos Shashank Shekhar Surya Ganguli Ari S. Morcos 100 444 0 29 Jun 2022
Scaling Laws and Interpretability of Learning from Repeated Data Danny Hernandez Tom B. Brown Tom Conerly Nova Dassarma Dawn Drain ... Catherine Olsson Dario Amodei Nicholas Joseph Jared Kaplan Sam McCandlish 77 118 0 21 May 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model Sid Black Stella Biderman Eric Hallahan Quentin G. Anthony Leo Gao ... Shivanshu Purohit Laria Reynolds J. Tow Benqi Wang Samuel Weinbach 184 836 0 14 Apr 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 211 1,987 0 29 Mar 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 362 637 0 14 Jul 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 87 161 0 17 Jun 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding Jianlin Su Yu Lu Shengfeng Pan Ahmed Murtadha Bo Wen Yunfeng Liu 329 2,533 0 20 Apr 2021
Learning Curve Theory Marcus Hutter 224 64 0 08 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 476 2,123 0 31 Dec 2020
The Cost of Training NLP Models: A Concise Overview Or Sharir Barak Peleg Y. Shoham 101 214 0 19 Apr 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 651 4,925 0 23 Jan 2020
PIQA: Reasoning about Physical Commonsense in Natural Language Yonatan Bisk Rowan Zellers Ronan Le Bras Jianfeng Gao Yejin Choi OOD LRM 192 1,847 0 26 Nov 2019
Reparameterizable Subset Sampling via Continuous Relaxations Sang Michael Xie Stefano Ermon BDL 79 99 0 29 Jan 2019
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance Andrew Jesson N. Guizard Sina Hamidi Ghalehjegh D. Goblot F. Soudan Nicolas Chapados 59 48 0 27 Jul 2018
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs Yuxing Tang Xiaosong Wang Adam P. Harrison Le Lu Jing Xiao Ronald M. Summers 79 154 0 19 Jul 2018
Automated Curriculum Learning for Neural Networks Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 101 530 0 10 Apr 2017
Ranking via Sinkhorn Propagation Ryan P. Adams R. Zemel 110 148 0 09 Jun 2011