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170
papertalks found
23/08/2020
Matrix profile XXI: A geometric approach to time series chains improves robustness
Makoto Imamura
,
Takaaki Nakamura
,
Eamonn Keogh
Keywords
Abstract
Paper
time series motifs
,
prognostics
,
time series
,
time series chains
17:34
23/08/2020
On sampling top-k recommendation evaluation
Dong Li
,
Ruoming Jin
,
Jing Gao
,
Zhi Liu
Keywords
Abstract
Paper
recommender systems
,
hit ratio
,
evaluation metric
,
top-k
,
recall
14:42
23/08/2020
SimClusters: Community-based representations for heterogeneous recommendations at twitter
Venu Satuluri
,
Yao Wu
,
Xun Zheng
and
Yilei Qian
,
Brian Wichers
,
Qieyun Dai
,
Gui Ming Tang
,
Jerry Jiang
,
Jimmy Lin
Keywords
Abstract
Paper
community detection
,
personalization
,
recommender systems
4:55
23/08/2020
Order fulfillment cycle time estimation for on-demand food delivery
Lin Zhu
,
Wei Yu
,
Kairong Zhou
and
Xing Wang
,
Wenxing Feng
,
Pengyu Wang
,
Ning Chen
,
Pei Lee
Keywords
Abstract
Paper
order fulfillment cycle time estimation
,
on-demand food delivery
,
neural networks
11:42
23/08/2020
Identifying homeless youth at-risk of substance use disorder: Data-driven insights for policymakers
Maryam Tabar
,
Heesoo Park
,
Stephanie Winkler
and
Dongwon Lee
,
Anamika Barman-Adhikari
,
Amulya Yadav
Keywords
Abstract
Paper
data science for social good
,
substance use disorder prediction
,
homeless youth
,
ai for social good
18:45
23/08/2020
Feature-induced manifold disambiguation for multi-view partial multi-label learning
Jing-Han Wu
,
Xuan Wu
,
Qing-Guo Chen
and
Yao Hu
,
Min-Ling Zhang
Keywords
Abstract
Paper
multi-view
,
disambiguation
,
partial label learning
,
multi-label learning
15:00
23/08/2020
Domain specific knowledge graphs as a service to the public: Powering social-impact funding in the US
Ying Li
,
Vitalii Zakhozhyi
,
Daniel Zhu
,
Luis J. Salazar
Keywords
Abstract
Paper
domain ontology
,
domain specific knowledge graph
,
social-impact funding
5:05
23/08/2020
Category-specific CNN for visual-aware CTR prediction at JD.com
Hu Liu
,
Jing Lu
,
Hao Yang
and
Xiwei Zhao
,
Sulong Xu
,
Hao Peng
,
Zehua Zhang
,
Wenjie Niu
,
Xiaokun Zhu
,
Yongjun Bao
,
Weipeng Yan
Keywords
Abstract
Paper
computational advertising
,
ctr prediction
,
image representation
2:54
23/08/2020
Cracking tabular presentation diversity for automatic cross-checking over numerical facts
Hongwei Li
,
Qingping Yang
,
Yixuan Cao
and
Jiaquan Yao
,
Ping Luo
Keywords
Abstract
Paper
tabular presentation
,
automatic cross-checking
,
numerical facts
18:22
23/08/2020
Diverse rule sets
Guangyi Zhang
,
Aristides Gionis
Keywords
Abstract
Paper
sampling
,
classifier
,
pattern mining
,
rule learning
,
diversification
,
rule sets
9:41
23/08/2020
Structural patterns and generative models of real-world hypergraphs
Manh Tuan Do
,
Se-eun Yoon
,
Bryan Hooi
,
Kijung Shin
Keywords
Abstract
Paper
multi-level decomposition
,
connected component
,
singular-value distribution
,
degree distribution
,
clustering coefficient
,
diameter
,
decomposed graph
,
subset interaction
17:39
23/08/2020
General-purpose user embeddings based on mobile app usage
Junqi Zhang
,
Bing Bai
,
Ye Lin
and
Jian Liang
,
Kun Bai
,
Fei Wang
Keywords
Abstract
Paper
embeddings
,
autoencoder
,
app usage
,
user modeling
,
transformer
3:54
23/08/2020
Spectrum-guided adversarial disparity learning
Zhe Liu
,
Lina Yao
,
Lei Bai
and
Xianzhi Wang
,
Can Wang
Keywords
Abstract
Paper
adversarial autoencoder
,
generative models
,
intraclass variability
,
activity recognition
14:30
23/08/2020
Cracking the black box: Distilling deep sports analytics
Xiangyu Sun
,
Jack Davis
,
Oliver Schulte
,
Guiliang Liu
Keywords
Abstract
Paper
model tree
,
neural networks
,
interpretability
,
sports analytics
,
mimic learning
4:53
23/08/2020
AutoShuffleNet: Learning permutation matrices via an exact lipschitz continuous penalty in deep convolutional neural networks
Jiancheng Lyu
,
Shuai Zhang
,
Yingyong Qi
,
Jack Xin
Keywords
Abstract
Paper
shufflenet
,
permutation
,
lipschitz continuous penalty
,
convolutional neural network
13:06
23/08/2020
DATE: Dual attentive tree-aware embedding for customs fraud detection
Sundong Kim
,
Yu-Che Tsai
,
Karandeep Singh
and
Yeonsoo Choi
,
Etim Ibok
,
Cheng-Te Li
,
Meeyoung Cha
Keywords
Abstract
Paper
e-government
,
tree-based embedding model
,
customs frauds detection
,
multi-task learning
19:56
23/08/2020
Causal meta-mediation analysis: Inferring dose-response function from summary statistics of many randomized experiments
Zenan Wang
,
Xuan Yin
,
Tianbo Li
,
Liangjie Hong
Keywords
Abstract
Paper
causal inference
,
evaluation metric
,
experiment
,
dose-response function
,
a/b test
,
mediation analysis
,
business kpi
,
meta-analysis
19:55
23/08/2020
Competitive analysis for points of interest
Shuangli Li
,
Jingbo Zhou
,
Tong Xu
and
Hao Liu
,
Xinjiang Lu
,
Hui Xiong
Keywords
Abstract
Paper
graph neural networks
,
heterogeneous information network
,
competitive analysis
,
point of interest
15:59
23/08/2020
FedFast: Going beyond average for faster training of federated recommender systems
Khalil Muhammad
,
Qinqin Wang
,
Diarmuid O’Reilly-Morgan
and
Elias Tragos
,
Barry Smyth
,
Neil Hurley
,
James Geraci
,
Aonghus Lawlor
Keywords
Abstract
Paper
recommender systems
,
federated learning
,
faster training
,
communication costs
,
active sampling
9:08
23/08/2020
Attention and memory-augmented networks for dual-view sequential learning
Yong He
,
Cheng Wang
,
Nan Li
,
Zhenyu Zeng
Keywords
Abstract
Paper
intra-attention
,
medication recommendation
,
history attention memory
,
invoice fraud detection
,
inter-attention
,
dual-view sequential learning
,
DRG classification
,
classification
,
dynamic external memory
10:32
23/08/2020
Z-miner: An efficient method for mining frequent arrangements of event intervals
Zed Lee
,
Tony Lindgren
,
Panagiotis Papapetrou
Keywords
Abstract
Paper
temporal arrangements
,
event intervals
,
pattern mining
19:56
23/08/2020
Dynamic knowledge graph based multi-event forecasting
Songgaojun Deng
,
Huzefa Rangwala
,
Yue Ning
Keywords
Abstract
Paper
multi-event forecasting
,
knowledge graphs
,
word graphs
10:45
23/08/2020
Joint policy-value learning for recommendation
Olivier Jeunen
,
David Rohde
,
Flavian Vasile
,
Martin Bompaire
Keywords
Abstract
Paper
bandit feedback
,
counterfactual learning
,
policy learning
12:15
23/08/2020
How to count triangles, without seeing the whole graph
Suman K. Bera
,
C. Seshadhri
Keywords
Abstract
Paper
random walks
,
graph sampling
,
triangle counting
19:02
23/08/2020
Adaptive graph encoder for attributed graph embedding
Ganqu Cui
,
Jie Zhou
,
Cheng Yang
,
Zhiyuan Liu
Keywords
Abstract
Paper
adaptive learning
,
laplacian smoothing
,
graph convolutional networks
,
attributed graph embedding
12:18
23/08/2020
Forecasting the evolution of hydropower generation
Fan Zhou
,
Liang Li
,
Kunpeng Zhang
and
Goce Trajcevski
,
Fuming Yao
,
Ying Huang
,
Ting Zhong
,
Jiahao Wang
,
Qiao Liu
Keywords
Abstract
Paper
multivariate time series
,
bayesian learnning
,
hydropower
,
normalizing flow
,
ordinary differential equations
4:51
23/08/2020
Data compression as a comprehensive framework for graph drawing and representation learning
Claudia Plant
,
Sonja Biedermann
,
Christian Böhm
Keywords
Abstract
Paper
minimum description length
,
graph embedding
16:23
23/08/2020
Block model guided unsupervised feature selection
Zilong Bai
,
Hoa Nguyen
,
Ian Davidson
Keywords
Abstract
Paper
unsupervised feature selection
,
attributed networks
,
block model
15:41
23/08/2020
Salience and market-aware skill extraction for job targeting
Baoxu Shi
,
Jaewon Yang
,
Feng Guo
,
Qi He
Keywords
Abstract
Paper
job targeting
,
skill recommendation
,
skill inference
17:44
23/08/2020
PinnerSage: Multi-modal user embedding framework for recommendations at pinterest
Aditya Pal
,
Chantat Eksombatchai
,
Yitong Zhou
and
Bo Zhao
,
Charles Rosenberg
,
Jure Leskovec
Keywords
Abstract
Paper
personalized recommender system
,
multi-modal user embeddings
16:50
23/08/2020
Learning to simulate human mobility
Jie Feng
,
Zeyu Yang
,
Fengli Xu
and
Haisu Yu
,
Mudan Wang
,
Yong Li
Keywords
Abstract
Paper
mobility trajectory
,
gan
,
mobility simulation
19:57
23/08/2020
Controllable multi-interest framework for recommendation
Yukuo Cen
,
Jianwei Zhang
,
Xu Zou
and
Chang Zhou
,
Hongxia Yang
,
Jie Tang
Keywords
Abstract
Paper
recommender system
,
multi-interest framework
,
sequential recommendation
15:59
23/08/2020
DeepTriage: Automated transfer assistance for incidents in cloud services
Phuong Pham
,
Vivek Jain
,
Lukas Dauterman
and
Justin Ormont
,
Navendu Jain
Keywords
Abstract
Paper
incident management
,
deep learning
,
transfer assistant
,
incident transfer
,
incident triage
10:44
23/08/2020
Compositional embeddings using complementary partitions for memory-efficient recommendation systems
Hao-Jun Michael Shi
,
Dheevatsa Mudigere
,
Maxim Naumov
,
Jiyan Yang
Keywords
Abstract
Paper
embeddings
,
model compression
,
recommendation systems
16:14
23/08/2020
Sub-matrix factorization for real-time vote prediction
Alexander Immer
,
Victor Kristof
,
Matthias Grossglauser
,
Patrick Thiran
Keywords
Abstract
Paper
generalized linear models
,
vote prediction
,
matrix factorization
,
data-driven political science
19:14
23/08/2020
Learning transferrable parameters for long-tailed sequential user behavior modeling
Jianwen Yin
,
Chenghao Liu
,
Weiqing Wang
and
Jianling Sun
,
Steven C. H. Hoi
Keywords
Abstract
Paper
long-tailed distribution
,
adversarial training
,
gradient alignment
,
sequential user behavior modeling
8:21
23/08/2020
On sampled metrics for item recommendation
Walid Krichene
,
Steffen Rendle
Keywords
Abstract
Paper
item recommendation
,
sampled metric
,
evaluation
,
metrics
16:46
23/08/2020
Preserving dynamic attention for long-term spatial-temporal prediction
Haoxing Lin
,
Rufan Bai
,
Weijia Jia
and
Xinyu Yang
,
Yongjian You
Keywords
Abstract
Paper
attention mechanism
,
long-term prediction
,
neural network
,
mining spatial-temporal information
15:03
23/08/2020
Prediction of hourly earnings and completion time on a crowdsourcing platform
Anna Lioznova
,
Alexey Drutsa
,
Vladimir Kukushkin
,
Anastasia Bezzubtseva
Keywords
Abstract
Paper
hourly earnings
,
task completion time
,
crowdsourcing marketplace
18:55
23/08/2020
Parallel DNN inference framework leveraging a compact RISC-v ISA-based multi-core system
Yipeng Zhang
,
Bo Du
,
Lefei Zhang
,
Jia Wu
Keywords
Abstract
Paper
multi-core
,
scheduling
,
deep neural network
,
RISC-V
14:07
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