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28734 retained paper pages. Page 101 of 288.
- Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
Rui Zhang, Tao Yu, He Yang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev · 2019
- DECO: Liberating Web Data Using Decentralized Oracles for TLS
Fan Zhang, Sai Krishna Deepak Maram, Harjasleen Malvai, Steven Goldfeder, Ari Juels · 2019
- Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel Sellier, Yoshua Bengio · 2019
- Certified Robustness to Adversarial Word Substitutions
Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang · 2019
- Better Rewards Yield Better Summaries: Learning to Summarise Without References
Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych · 2019
- In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
Michael Lebacher, Samantha Cook, Nadja Klein, Göran Kauermann · 2019
- The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng · 2019
- IR Dynamics from UV Divergences: UV/IR Mixing, NCFT, and the Hierarchy Problem
Nathaniel Craig, Seth Koren · 2019
- Deep Equilibrium Models
Shaojie Bai, J. Zico Kolter, Vladlen Koltun · 2019
- Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team · 2019
- Mining Insights from Weakly-Structured Event Data
Niek Tax · 2019
- Adversarial Robustness of Similarity-Based Link Prediction
Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik · 2019
- Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli · 2019
- Neural Linguistic Steganography
Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush · 2019
- What can the brain teach us about building artificial intelligence?
Dileep George · 2019
- A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
Katsuhiko Hayashi, Masashi Shimbo · 2019
- SATURN -- Software Deobfuscation Framework Based on LLVM
Peter Garba, Matteo Favaro · 2019
- GPU-based parallelism for ASP-solving
Agostino Dovier, Andrea Formisano, Flavio Vella · 2019
- Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy Ren, Rynson W. H. Lau · 2019
- Differentially Private SQL with Bounded User Contribution
Royce J Wilson, Celia Yuxin Zhang, William Lam, Damien Desfontaines, Daniel Simmons-Marengo, Bryant Gipson · 2019
- From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz · 2019
- An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars · 2019
- Higgs Troika for Baryon Asymmetry
Hooman Davoudiasl, Ian M. Lewis, Matthew Sullivan · 2019
- TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao · 2019
- An Entity-Driven Framework for Abstractive Summarization
Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang · 2019
- Distributionally Robust Language Modeling
Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang · 2019
- The Diversity-Innovation Paradox in Science
Bas Hofstra, Vivek V. Kulkarni, Sebastian Munoz-Najar Galvez, Bryan He, Dan Jurafsky, Daniel A. McFarland · 2019
- Jointly Learning to Align and Translate with Transformer Models
Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik · 2019
- Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems
Hao-Jun Michael Shi, Dheevatsa Mudigere, Maxim Naumov, Jiyan Yang · 2019
- Learning Dynamic Context Augmentation for Global Entity Linking
Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren · 2019
- No Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron Courville · 2019
- PaLM: A Hybrid Parser and Language Model
Hao Peng, Roy Schwartz, Noah A. Smith · 2019
- KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren · 2019
- Phase-stable self-modulation of an electron-beam in a magnetic wiggler
James P. MacArthur, Joseph Duris, Zhen Zhang, Alberto Lutman, Alexander Zholents, Xinlu Xu, Zhirong Huang, Agostino Marinelli · 2019
- NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction
Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren · 2019
- Automated Let's Play Commentary
Shukan Shah, Matthew Guzdial, Mark O. Riedl · 2019
- Investigating Multilingual NMT Representations at Scale
Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell, Naveen Arivazhagan, Orhan Firat · 2019
- Semantics-aware BERT for Language Understanding
Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, Xiang Zhou · 2019
- Multi-Granularity Self-Attention for Neural Machine Translation
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu · 2019
- Examining Gender Bias in Languages with Grammatical Gender
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang · 2019
- Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank
Zhang Meishan, Zhang Yue, Fu Guohong · 2019
- Robust Navigation with Language Pretraining and Stochastic Sampling
Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah Smith, Yejin Choi · 2019
- Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
Takashi Shibuya, Eduard Hovy · 2019
- Comprehensive geoneutrino analysis with Borexino
M. Agostini, K. Altenmüller, S. Appel, V. Atroshchenko, Z. Bagdasarian, D. Basilico, G. Bellini, J. Benziger, D. Bick, G. Bonfini, D. Bravo, B. Caccianiga, F. Calaprice, A. Caminata, L. Cappelli, P. Cavalcante, F. Cavanna, A. Chepurnov, K. Choi, D. D'Angelo, S. Davini, A. Derbin, A. Di Giacinto, V. Di Marcello, X. F. Ding, A. Di Ludovico, L. Di Noto, I. Drachnev, G. Fiorentini, A. Formozov, D. Franco, F. Gabriele, C. Galbiati, M. Gschwender, C. Ghiano, M. Giammarchi, A. Goretti, M. Gromov, D. Guffanti, C. Hagner, E. Hungerford, Aldo Ianni, Andrea Ianni, A. Jany, D. Jeschke, S. Kumaran, V. Kobychev, G. Korga, T. Lachenmaier, T. Lasserre, M. Laubenstein, E. Litvinovich, P. Lombardi, I. Lomskaya, L. Ludhova, G. Lukyanchenko, L. Lukyanchenko, I. Machulin, F. Mantovani, G. Manuzio, S. Marcocci, J. Maricic, J. Martyn, E. Meroni, M. Meyer, L. Miramonti, M. Misiaszek, M. Montuschi, V. Muratova, B. Neumair, M. Nieslony, L. Oberauer, A. Onillon, V. Orekhov, F. Ortica, M. Pallavicini, L. Papp, Ö. Penek, L. Pietrofaccia, N. Pilipenko, A. Pocar, G. Raikov, M. T. Ranalli, G. Ranucci, A. Razeto, A. Re, M. Redchuk, B. Ricci, A. Romani, N. Rossi, S. Rottenanger, S. Schönert, D. Semenov, M. Skorokhvatov, O. Smirnov, A. Sotnikov, V. Strati, Y. Suvorov, R. Tartaglia, G. Testera, J. Thurn, E. Unzhakov, A. Vishneva, M. Vivier, R. B. Vogelaar, F. von Feilitzsch, M. Wojcik, M. Wurm, O. Zaimidoroga, S. Zavatarelli, K. Zuber, G. Zuzel · 2019
- Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis
Javier Álvez, Itziar Gonzalez-Dios, German Rigau · 2019
- Informative and Controllable Opinion Summarization
Reinald Kim Amplayo, Mirella Lapata · 2019
- Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
David Pfau, James S. Spencer, Alexander G. de G. Matthews, W. M. C. Foulkes · 2019
- Changepoint analysis of historical battle deaths
Brennen T. Fagan, Marina I. Knight, Niall J. MacKay, A. Jamie Wood · 2019
- (Un)informed Consent: Studying GDPR Consent Notices in the Field
Christine Utz, Martin Degeling, Sascha Fahl, Florian Schaub, Thorsten Holz · 2019
- Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
Sai Qian Zhang, Qi Zhang, Jieyu Lin · 2019
- From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao · 2019
- Personalization of Deep Learning
Johannes Schneider, Michail Vlachos · 2019
- A Comparative Study of Some Central Notions of ASPIC+ and DeLP
Alejandro J. Garcia, Henry Prakken, Guillermo R. Simari · 2019
- NP-completeness of the game Kingdomino
Viet-Ha Nguyen, Kevin Perrot, Mathieu Vallet · 2019
- Efficient Lock-Free Durable Sets
Yoav Zuriel, Michal Friedman, Gali Sheffi, Nachshon Cohen, Erez Petrank · 2019
- Structured Query Construction via Knowledge Graph Embedding
Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker · 2019
- Show Your Work: Improved Reporting of Experimental Results
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith · 2019
- RNN Architecture Learning with Sparse Regularization
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith · 2019
- One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilović, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang · 2019
- Automatic Critical Mechanic Discovery Using Playtraces in Video Games
Michael Cerny Green, Ahmed Khalifa, Gabriella A. B. Barros, Tiago Machado, Julian Togelius · 2019
- Making High-Performance Robots Safe and Easy to Use for an Introduction to Computing
Joseph Spitzer, Joydeep Biswas, Arjun Guha · 2019
- On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher Pal · 2019
- KG-BERT: BERT for Knowledge Graph Completion
Liang Yao, Chengsheng Mao, Yuan Luo · 2019
- Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression
Tong Niu, Caiming Xiong, Richard Socher · 2019
- Pretrained AI Models: Performativity, Mobility, and Change
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher · 2019
- Compiling PL/SQL Away
Christian Duta, Denis Hirn, Torsten Grust · 2019
- An Algorithm for Multi-Attribute Diverse Matching
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark Fuge, Samir Khuller · 2019
- Designing and Interpreting Probes with Control Tasks
John Hewitt, Percy Liang · 2019
- ShapeBots: Shape-changing Swarm Robots
Ryo Suzuki, Clement Zheng, Yasuaki Kakehi, Tom Yeh, Ellen Yi-Luen Do, Mark D. Gross, Daniel Leithinger · 2019
- TorchGAN: A Flexible Framework for GAN Training and Evaluation
Avik Pal, Aniket Das · 2019
- Lecture Notes: Optimization for Machine Learning
Elad Hazan · 2019
- Almost all orbits of the Collatz map attain almost bounded values
Terence Tao · 2019
- Open Data Chatbot
Sophia Keyner, Vadim Savenkov, Svitlana Vakulenko · 2019
- Physics without Determinism: Alternative Interpretations of Classical Physics
Flavio Del Santo, Nicolas Gisin · 2019
- Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data
Yang Li, José M. F. Moura · 2019
- Gradient-Aware Model-based Policy Search
Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli · 2019
- General Fragment Model for Information Artifacts
Sandro Rama Fiorini, Wallas Sousa dos Santos, Rodrigo Costa Mesquita, Guilherme Ferreira Lima, Marcio F. Moreno · 2019
- Span Selection Pre-training for Question Answering
Michael Glass, Alfio Gliozzo, Rishav Chakravarti, Anthony Ferritto, Lin Pan, G P Shrivatsa Bhargav, Dinesh Garg, Avirup Sil · 2019
- Self-Teaching Networks
Liang Lu, Eric Sun, Yifan Gong · 2019
- Knowledge Enhanced Contextual Word Representations
Matthew E. Peters, Mark Neumann, Robert L. Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith · 2019
- Meta-learnt priors slow down catastrophic forgetting in neural networks
Giacomo Spigler · 2019
- Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
Sandeep Soni, Kristina Lerman, Jacob Eisenstein · 2019
- Neural reparameterization improves structural optimization
Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus · 2019
- A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, William Yang Wang · 2019
- Transfer of Temporal Logic Formulas in Reinforcement Learning
Zhe Xu, Ufuk Topcu · 2019
- Complete Set of Stochastic Verlet-Type Thermostats for Correct Langevin Simulations
Niels Grønbech-Jensen · 2019
- DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Håkon Hukkelås, Rudolf Mester, Frank Lindseth · 2019
- Incompleteness Ex Machina
Sebastian Oberhoff · 2019
- The ontological identity of empirical indiscernibles: Leibniz's methodological principle and its significance in the work of Einstein
Robert W. Spekkens · 2019
- Meta-Learning with Implicit Gradients
Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine · 2019
- Neural Embedding Allocation: Distributed Representations of Topic Models
Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds · 2019
- WIQA: A dataset for "What if..." reasoning over procedural text
Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark · 2019
- Scientific Discourse Tagging for Evidence Extraction
Xiangci Li, Gully Burns, Nanyun Peng · 2019
- MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
Julian Martin Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kardas, Sylvain Gugger, Jeremy Howard · 2019
- Packet Chasing: Spying on Network Packets over a Cache Side-Channel
Mohammadkazem Taram, Ashish Venkat, Dean Tullsen · 2019
- A Discrete Hard EM Approach for Weakly Supervised Question Answering
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer · 2019
- Deep Declarative Networks: A New Hope
Stephen Gould, Richard Hartley, Dylan Campbell · 2019
- Algebraic Property Graphs
Joshua Shinavier, Ryan Wisnesky, Joshua G. Meyers · 2019
- Abstraction for Zooming-In to Unsolvability Reasons of Grid-Cell Problems
Thomas Eiter, Zeynep G. Saribatur, Peter Schüller · 2019
- ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
Aaron Halfaker, R. Stuart Geiger · 2019