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1803.04572
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COPA: Constrained PARAFAC2 for Sparse & Large Datasets
International Conference on Information and Knowledge Management (CIKM), 2018
12 March 2018
Ardavan Afshar
Ioakeim Perros
Evangelos E. Papalexakis
Elizabeth Searles
Joyce C. Ho
Jimeng Sun
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Papers citing
"COPA: Constrained PARAFAC2 for Sparse & Large Datasets"
21 / 21 papers shown
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
Knowledge Discovery and Data Mining (KDD), 2025
Shingo Higashiguchi
Yasuko Matsubara
Koki Kawabata
Taichi Murayama
Yasushi Sakurai
AI4TS
290
3
0
01 May 2025
Revisiting Large Language Model Pruning using Neuron Semantic Attribution
Yizhuo Ding
Xinwei Sun
Yanwei Fu
Guosheng Hu
214
3
0
03 Mar 2025
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data
Christos Chatzis
Carla Schenker
Max Pfeffer
E. Acar
310
3
0
01 Jul 2024
PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints
Carla Schenker
Xiulin Wang
David Horner
Morten A. Rasmussen
E. Acar
290
2
0
18 Jun 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
Neural Information Processing Systems (NeurIPS), 2024
Haoran You
Yipin Guo
Yichao Fu
Wei Zhou
Huihong Shi
Xiaofan Zhang
Souvik Kundu
Amir Yazdanbakhsh
Y. Lin
KELM
433
30
0
10 Jun 2024
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Xiaoxia Wu
Haojun Xia
Stephen Youn
Zhen Zheng
Shiyang Chen
...
Reza Yazdani Aminabadi
Yuxiong He
Olatunji Ruwase
Leon Song
Zhewei Yao
376
18
0
14 Dec 2023
SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping
Machine-mediated learning (ML), 2023
Hana Sebia
Thomas Guyet
Etienne Audureau
490
1
0
02 Oct 2023
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors -- Algorithm and Application
Knowledge Discovery and Data Mining (KDD), 2023
Jun-Gi Jang
Jeongyoung Lee
Yong-chan Park
U. Kang
194
7
0
28 May 2023
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
AAAI Conference on Artificial Intelligence (AAAI), 2022
Conglong Li
Z. Yao
Xiaoxia Wu
Minjia Zhang
Connor Holmes
Cheng Li
Yuxiong He
445
42
0
07 Dec 2022
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers
Z. Yao
Xiaoxia Wu
Conglong Li
Connor Holmes
Minjia Zhang
Cheng-rong Li
Yuxiong He
227
14
0
17 Nov 2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Florian Becker
A. Smilde
E. Acar
233
10
0
01 Sep 2022
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning
Yifei Ren
Jian Lou
Li Xiong
Joyce C. Ho
Xiaoqian Jiang
Sivasubramanium Bhavan
OOD
323
4
0
01 Aug 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Neural Information Processing Systems (NeurIPS), 2022
Z. Yao
Reza Yazdani Aminabadi
Minjia Zhang
Xiaoxia Wu
Conglong Li
Yuxiong He
VLM
MQ
511
672
0
04 Jun 2022
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors
IEEE International Conference on Data Engineering (ICDE), 2022
Jun-Gi Jang
U. Kang
262
13
0
24 Mar 2022
An AO-ADMM approach to constraining PARAFAC2 on all modes
M. Roald
Carla Schenker
Vince D. Calhoun
Tülay Adalı
R. Bro
Jérémy E. Cohen
E. Acar
259
33
0
04 Oct 2021
PARAFAC2 AO-ADMM: Constraints in all modes
European Signal Processing Conference (EUSIPCO), 2021
M. Roald
Carla Schenker
Jérémy E. Cohen
E. Acar
168
10
0
03 Feb 2021
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Ardavan Afshar
Kejing Yin
Sherry H. F. Yan
Cheng Qian
Joyce C. Ho
Haesun Park
Jimeng Sun
277
11
0
08 Oct 2020
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2020
Carla Schenker
Jérémy E. Cohen
E. Acar
169
26
0
19 Jul 2020
Patient Similarity Analysis with Longitudinal Health Data
Ahmed Allam
Matthias Dittberner
A. Sintsova
D. Brodbeck
Michael Krauthammer
247
17
0
14 May 2020
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
ACM Conference on Health, Inference, and Learning (CHIL), 2019
Ardavan Afshar
Ioakeim Perros
Haesun Park
C. Defilippi
Xiaowei Yan
Walter F. Stewart
Joyce C. Ho
Jimeng Sun
184
38
0
13 Nov 2019
Tracing Network Evolution Using the PARAFAC2 Model
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
M. Roald
Suchita Bhinge
Chunying Jia
Vince D. Calhoun
T. Adalı
E. Acar
129
16
0
23 Oct 2019
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