Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics
Comments 10 pages; KDD'18 Deep Learning Day, August 2018, London, UK
期刊&会议
KDD
ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 会议 · Data Mining
OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]
Comments Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, August 19-23, 2018
Recognizing Film Entities in Podcasts
Comments 4 pages, 1 figure. To appear in Proceedings of 2018 KDD Workshop on Machine Learning and Data Mining for Podcasts, August 2018, London, UK
Fighting Redundancy and Model Decay with Embeddings
Comments Presented at the Common Model Infrastructure Workshop at KDD 2018 (link: https://cmi2018.sdsc.edu/)
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Comments Accepted at KDD 2018
Neural Embeddings of Graphs in Hyperbolic Space
Comments 7 pages, 5 figures
Journal ref 13th international workshop on mining and learning from graphs held in conjunction with KDD, 2017
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation
Comments 10 pages, 11 figures. To appear in 2018 ACM SIGKDD Conference on Knowledge Discovery and Data Mining conference. Some typos are revise
Deep Interest Network for Click-Through Rate Prediction
Comments Accepted by KDD 2018
Is together better? Examining scientific collaborations across multiple authors, institutions, and departments
Journal ref KDD: BigScholar 2018
Annotating shadows, highlights and faces: the contribution of a 'human in the loop' for digital art history
Comments Presented at the "1st KDD Workshop on Data Science for Digital Art History: tackling big data Challenges, Algorithms, and Systems", see http://dsdah2018.blogs.dsv.su.se for more info. Manuscript should eventually be published in Journal of Digital Art History (www.dah-journal.org/)
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification
Comments 8 pages, 5 tables, 1 figure, KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) 2018
Deep Neural Net with Attention for Multi-channel Multi-touch Attribution
Comments 6 pages ; It got published in AdKDD 2018 workshop as part of KDD 2018
Large-Scale Learnable Graph Convolutional Networks
Journal ref In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1416-1424). ACM (2018)
Visually-Aware Personalized Recommendation using Interpretable Image Representations
Comments AI for Fashion workshop, held in conjunction with KDD 2018, London. 4 pages
HAMLET: Interpretable Human And Machine co-LEarning Technique
Comments Removed KDD template
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan
Comments 10 pages, 10 figures, To appear in KDD 2018, For associated promotional video, see https://www.youtube.com/watch?v=YbIn_axYu9E
False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments
Journal ref Yuxiang Xie, Nanyu Chen, and Xiaolin Shi. 2018. KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining Pages 876-885
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
Comments Submitted to SIGKDD 2018
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Comments Submitted to SIGKDD 2018
Murmur Detection Using Parallel Recurrent & Convolutional Neural Networks
Comments 4 pages, Machine Learning for Medicine and Healthcare Workshop, KDD 2018
Learning Certifiably Optimal Rule Lists for Categorical Data
Comments A short version of this work appeared in KDD '17 as "Learning Certifiably Optimal Rule Lists"
Journal ref Journal of Machine Learning Research 18(234):1-78, 2018
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning
Comments 8 pages; 5 figures; To present at KDD 2018: Data Science, Journalism & Media workshop
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors
Comments 10 pages, 7 figures, KDD 2018
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning
Comments 10 Pages, 9 figures, accept by KDD 2018
Latent Variable Time-varying Network Inference
Comments 9 pages, 5 figures, 1 table
Journal ref Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2018). ACM, New York, NY, USA, 2338-2346
Identifying Financial Institutions by Transaction Signatures
Comments FinTech@KDD'18
Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks
Comments ACM KDD 2018 Deep Learning Day
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables
Comments 7 pages, 5 figures, KDD 2018 Deep Learning Day accepted
Bounded Information Rate Variational Autoencoders
Comments Presented at KDD 2018 Deep Learning Day. Minor changes and correction of rate calculations, overall results remain the same
On the Flip Side: Identifying Counterexamples in Visual Question Answering
Comments KDD 2018 conference version
