Chen Ma, Liheng Ma, Yingxue Zhang and

Haolun Wu, Xue Liu, Mark Coates

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Jiaji Huang, Qiang Qiu, Kenneth Church

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vision, meta learning, kernel methods

Yifei Yuan, Jingbo Zhou, Wai Lam

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Adit Krishnan, Mahashweta Das, Mangesh Bendre and

Hao Yang, Hari Sundaram

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data sparsity, transfer learning, cross-domain recommendation, contextual invariants, neural layer adaptation

Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain

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Learning Theory

John Mern, Anil Yildiz, Lawrence Bush and

Tapan Mukerji, Mykel J. Kochenderfer

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Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie

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Fine-grained Matching, Neural Recommendation, Personalized recommendation, news recommendation

Lang Liu, Krishna Pillutla, Sean Welleck and

Sewoong Oh, Yejin Choi, Zaid Harchaoui

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theory, vision, generative model, language

Lukas Gienapp, Benno Stein, Matthias Hagen, Martin Potthast

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argument quality, annotation framework, stochastic model, sampling strategy

Zhuang Chen, Tieyun Qian

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aspect extraction, ate, neural taggers, taggers

Robert West

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search engines, log analysis, calibration, time series, google trends

Zachary Charles, Jakub Konečný

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Yifei Shen, Ye Xue, Jun Zhang and

Khaled Letaief, Vincent Lau

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Roee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa Cannim

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experimentation, multimodal deep-learning, table retrieval

Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang

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Shanshan Feng, Lucas Vinh Tran, Gao Cong and

Lisi Chen, Jing Li, Fan Li

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metric embedding, hyperbolic space, next-poi recommendation

Tanner Fiez, Nihar Shah, Lillian Ratliff

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Tenindra Abeywickrama, Muhammad Aamir Cheema, Sabine Storandt

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Heuristic Search and Game Playing, Heuristic Search, Transportation, Big Data, Large-Scale Systems

Jianguo Zhang, Kazuma Hashimoto, Wenhao Liu and

Chien-Sheng Wu, Yao Wan, Philip Yu, Richard Socher, Caiming Xiong

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intent detection, detecting intents, oos detection, large-scale task

Maria-Florina Balcan, Travis Dick, Manuel Lang

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Data-driven Algorithm Configuration, Metric Learning, Linkage Clustering, Learning Algorithms

Alvaro Velasquez, Brett Bissey, Lior Barak and

Andre Beckus, Ismail Alkhouri, Daniel Melcer, George Atia

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Evangelos Sariyanidi, Casey J. Zampella, Keith G. Bartley and

John D. Herrington, Theodore D. Satterthwaite, Robert T. Schultz, Birkan Tunc

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synchrony, time series, correlation, sequences, large-scale, scalable, epsilon-expansion, epsilon-expanded clusters, jung's theorem, ball fitting

Meric Altug Gemalmaz, Ming Yin

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Humans and AI, Human Computation and Crowdsourcing, Human-AI Collaboration, Human-Computer Interaction

Jieyu Zhang, Xiangchen Song, Ying Zeng and

Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li

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Shuai Pang, Jianqiang Ma, Zeyu Yan and

Yang Zhang, Jianping Shen

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Yuanfu Lu, Ruobing Xie, Chuan Shi and

Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin

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heterogeneous graph, friend-enhanced recommendation, social influence

Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer

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Coreference Resolution, active resolution, Active Learning, Discrete Annotation

Eric Liang, Zongheng Yang, Ion Stoica and

Pieter Abbeel, Yan Duan, Peter Chen

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Deep Learning - Generative Models and Autoencoders

Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi and

Andrea Passerini, Manfred Jaeger

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Machine Learning, Deep Learning, Multi-instance; Multi-label; Multi-view learning, Relational Learning

Olivia Foulds, Alessandro Suglia, Leif Azzopardi, Martin Halvey

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information retrieval, perceptual speed, machine learning

Wenxuan Zhang, Yang Deng, Wai Lam

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product question answering, e-commerce, answer ranking, question answering

Mo Tiwari, Martin Zhang, James J Mayclin and

Sebastian Thrun, Chris Piech, Ilan Shomorony

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Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

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Peiye Liu, Bo Wu, Huadong Ma, Mingoo Seok

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neural architecture search, recurrent neural network, memory optimization

Anand Rajagopalan, Fabio Vitale, Danny Vainstein and

Gui Citovsky, Cecilia Procopiuc, Claudio Gentile

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Algorithms, Clustering, Theory, Spaces of Functions and Kernels, Algorithms, Density Estimation; Deep Learning, Adversarial Networks; Deep Learning, Generative Models; Theory, Frequent

Tom Pelsmaeker, Wilker Aziz

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Estimation Models, parameterisation models, posterior collapse, language modelling

Zhe Liu, Lina Yao, Lei Bai and

Xianzhi Wang, Can Wang

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adversarial autoencoder, generative models, intraclass variability, activity recognition

Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng

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top-k query, crowdsourcing, query management

Weizhi Li, Gautam Dasarathy, Karthi Natesan Ramamurthy, Visar Berisha

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Algorithms -> AutoML; Applications -> Fairness, Accountability, and Transparency; Optimization -> Stochastic Optimization, Algorithms -> Classification

Sunghwan Mac Kim, Stephen Wan, Cécile Paris, Andreas Duenser

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cases, events, languages, learning, performance, sources, topic, traditional, traditional sources, twitter