Efficient Machine Learning for Big Data: A Review

18 March 2015

Papers citing "Efficient Machine Learning for Big Data: A Review"

34 / 34 papers shown

Title
FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement Ian Huang Yanan Bao Karen Truong Howard Zhou Cordelia Schmid Leonidas Guibas Alireza Fathi 3DV 55 0 0 06 Mar 2025
Large Language Models Make Sample-Efficient Recommender Systems Jianghao Lin Xinyi Dai Rong Shan Bo Chen Ruiming Tang Yong Yu Weinan Zhang 100 6 0 04 Jun 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 155 5 0 25 May 2024
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data Leonardo Castro-Gonzalez Yi-Ling Chung Hannak Rose Kirk John Francis Angus R. Williams Pica Johansson Jonathan Bright 76 1 0 22 Jan 2024
Data-Centric Digital Agriculture: A Perspective R. Roscher Lukas Roth C. Stachniss Achim Walter 66 2 0 06 Dec 2023
Using Cooperative Game Theory to Prune Neural Networks M. Diaz-Ortiz Benjamin Kempinski Daphne Cornelisse Yoram Bachrach Tal Kachman 96 2 0 17 Nov 2023
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting Elin Törnquist Wagner Costa Santos Timothy C. Pogue Nicholas Wingle R. Caulk AI4TS 68 0 0 26 Sep 2023
Sampling Streaming Data with Parallel Vector Quantization -- PVQ Mujahid Sultan 49 1 0 04 Oct 2022
3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy Omar Alfarisi Z. Aung Qingfeng Huang Ashraf Al-Khateeb Hamed Alhashmi M. Abdelsalam S. Alzaabi Haifa Alyazeedi Anthony Tzes 42 1 0 23 Mar 2022
Federated Multi-View Learning for Private Medical Data Integration and Analysis Sicong Che Hao Peng Lichao Sun Yong Chen Lifang He FedML 130 41 0 04 May 2021
Asymmetric compressive learning guarantees with applications to quantized sketches V. Schellekens Laurent Jacques 25 1 0 20 Apr 2021
Costly Features Classification using Monte Carlo Tree Search Ziheng Chen Jin Huang H. Ahn Xin Ning 39 12 0 14 Feb 2021
Genetic Adversarial Training of Decision Trees Francesco Ranzato Marco Zanella 39 15 0 21 Dec 2020
Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup Guodong Xu Ziwei Liu Chen Change Loy UQCV 51 39 0 17 Dec 2020
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems Ali Sayghe Yaodan Hu Ioannis Zografopoulos XiaoRui Liu R. Dutta Yier Jin Charalambos Konstantinou AAML 36 108 0 16 Aug 2020
A Survey on Large-scale Machine Learning Meng Wang Weijie Fu Xiangnan He Shijie Hao Xindong Wu 84 112 0 10 Aug 2020
Federated and continual learning for classification tasks in a society of devices F. Casado Dylan Lema R. Iglesias Carlos V. Regueiro S. Barro FedML 74 2 0 12 Jun 2020
A Survey of Bayesian Statistical Approaches for Big Data Farzana Jahan Insha Ullah Kerrie Mengersen 102 14 0 08 Jun 2020
Parallel ensemble methods for causal direction inference Yulai Zhang Jiachen Wang Gang Cen G. Luo CML 11 0 0 05 Jun 2020
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Qi She Fan Feng Xinyue Hao Qihan Yang Chuanlin Lan ... Zhengwei Wang Yao Guo Yimin Zhang Fei Qiao Rosa H. M. Chan VLM 128 76 0 15 Nov 2019
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks Nazreen P.M. S. Chakrabartty Chetan Singh Thakur 15 0 0 05 Oct 2019
Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study Erion Çano Ondrej Bojar 41 11 0 14 Sep 2019
Measuring the Data Efficiency of Deep Learning Methods Hlynur Davíð Hlynsson Alberto N. Escalante Laurenz Wiskott 36 11 0 03 Jul 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 169 348 0 30 May 2019
Galaxy Learning -- A Position Paper Chao Wu Jun Xiao Gang Huang Leilei Gan FedML 17 5 0 22 Apr 2019
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets Karl Mason Sadegh Vejdan S. Grijalva 23 10 0 12 Mar 2019
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting Reza Asadi Amelia Regan AI4TS 36 11 0 02 Feb 2019
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 61 20 0 09 Nov 2018
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks Irene Córdoba-Sánchez E.C. Garrido-Merchán Daniel Hernández-Lobato C. Bielza P. Larrañaga TPM 45 11 0 28 Jun 2018
Deep Learning Topological Invariants of Band Insulators Ning Sun Jinmin Yi Pengfei Zhang Huitao Shen H. Zhai 105 54 0 26 May 2018
Parallel Computation of PDFs on Big Spatial Data Using Spark Ji Liu Noel Moreno Lemus Esther Pacitti Fábio Porto P. Valduriez 44 6 0 08 May 2018
A Survey on Domain-Specific Languages for Machine Learning in Big Data I. Portugal Paulo S. C. Alencar Donald D. Cowan AI4CE 61 13 0 24 Feb 2016
Big Graph Mining: Frameworks and Techniques Sabeur Aridhi E. M. Nguifo AI4CE GNN 38 60 0 09 Feb 2016
Revisiting Large Scale Distributed Machine Learning R. Ionescu 138 1 0 06 Jul 2015