Data Optimization in Deep Learning: A Survey

25 October 2023

Papers citing "Data Optimization in Deep Learning: A Survey"

26 / 26 papers shown

Title
OpenDataVal: a Unified Benchmark for Data Valuation Kevin Jiang Weixin Liang James Y. Zou Yongchan Kwon FedML 42 34 0 18 Jun 2023
Multimodal Data Augmentation for Image Captioning using Diffusion Models Changrong Xiao S. Xu Kunpeng Zhang DiffM 11 10 0 03 May 2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning Ziheng Qin K. Wang Zangwei Zheng Jianyang Gu Xiang Peng ... Daquan Zhou Lei Shang Baigui Sun Xuansong Xie Yang You 102 44 0 08 Mar 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 137 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 64 95 0 21 Oct 2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning Dan Friedman Adji Bousso Dieng EGVM 76 107 0 05 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 46 33 0 30 Sep 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 25 27 0 20 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 48 34 0 19 Sep 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 18 3 0 13 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 375 155 0 30 May 2022
Exploring the Learning Difficulty of Data Theory and Measure Weiyao Zhu Ou Wu Fengguang Su Yingjun Deng 13 4 0 16 May 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 39 71 0 26 Mar 2022
Anticorrelated Noise Injection for Improved Generalization Antonio Orvieto Hans Kersting F. Proske Francis R. Bach Aurélien Lucchi 50 44 0 06 Feb 2022
Tackling the Imbalance for GNNs Rui Wang Weixuan Xiong Qing-Hu Hou Ou Wu 32 6 0 17 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 113 269 0 05 Oct 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 288 0 16 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 68 467 0 02 Feb 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 63 337 0 25 Jan 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 21 15 0 08 Jan 2021
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 190 103 0 26 Aug 2020
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning Yifan Zhang P. Zhao Qingyao Wu Bin Li Junzhou Huang Mingkui Tan OOD 49 95 0 06 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 42 63 0 02 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 154 25,150 0 09 Jun 2011