Estimating Training Data Influence by Tracing Gradient Descent

19 February 2020

Papers citing "Estimating Training Data Influence by Tracing Gradient Descent"

23 / 23 papers shown

Title
Pre-training Generative Recommender with Multi-Identifier Item Tokenization Bowen Zheng Enze Liu Zhongfu Chen Zhongrui Ma Yue Wang Wayne Xin Zhao Ji-Rong Wen 68 0 0 06 Apr 2025
Data Cleansing for GANs Naoyuki Terashita Hiroki Ohashi Satoshi Hara AAML 93 0 0 01 Apr 2025
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation Yanzhou Pan Huawei Lin Yide Ran Jiamin Chen Xiaodong Yu Weijie Zhao Denghui Zhang Zhaozhuo Xu 52 1 0 02 Mar 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 143 2 0 21 Feb 2025
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment Sizhe Wang Yongqi Tong Hengyuan Zhang Dawei Li Xin Zhang Tianlong Chen 135 8 0 21 Feb 2025
LiveVal: Time-aware Data Valuation via Adaptive Reference Points Jie Xu Zihan Wu Cong Wang Xiaohua Jia AI4TS 76 0 0 14 Feb 2025
QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Moses Ananta Muhammad Farid Adilazuarda Zayd Muhammad Kawakibi Zuhri Ayu Purwarianti Alham Fikri Aji MQ 81 0 0 03 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 93 0 0 01 Feb 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 155 4 0 10 Jan 2025
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 54 2 0 24 Oct 2024
Compute-Constrained Data Selection Junjie Oscar Yin Alexander M. Rush 72 1 0 21 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Guangyi Liu Fengting Yuchi W. Zhao Jingjing Qu Yanjie Wang Siheng Chen ALM FedML 76 1 0 15 Oct 2024
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models Zhipeng Chen Liang Song K. Zhou Wayne Xin Zhao Binghai Wang Weipeng Chen Ji-Rong Wen 77 0 0 10 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 123 2 0 02 Oct 2024
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier Simin Fan Skyler Seto Pierre Ablin 75 4 0 30 Sep 2024
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 52 0 0 14 Aug 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 90 1 0 17 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 103 0 0 03 Jun 2024
Data-centric Prediction Explanation via Kernelized Stein Discrepancy Mahtab Sarvmaili Hassan Sajjad Ga Wu 72 1 0 22 Mar 2024
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 83 452 0 09 Aug 2020
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 98 2,854 0 14 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 59 5,920 0 04 Mar 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 142 2,543 0 07 Oct 2016