All paper pages
28734 retained paper pages. Page 93 of 288.
- Danger of using fully homomorphic encryption: A look at Microsoft SEAL
Zhiniang Peng · 2019
- Learning Execution through Neural Code Fusion
Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi · 2019
- Why and How zk-SNARK Works
Maksym Petkus · 2019
- Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services
Alex Cummaudo, Rajesh Vasa, John Grundy, Mohamed Abdelrazek, Andrew Cain · 2019
- Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang, Shixiang Gu, Kevin Murphy, Chelsea Finn · 2019
- Learning to Plan Hierarchically from Curriculum
Philippe Morere, Lionel Ott, Fabio Ramos · 2019
- A Performance Perspective on Web Optimized Protocol Stacks: TCP+TLS+HTTP/2 vs. QUIC
Konrad Wolsing, Jan Rüth, Klaus Wehrle, Oliver Hohlfeld · 2019
- Subsumption-driven clause learning with DPLL+restarts
Olivier Bailleux · 2019
- Migrating to GraphQL: A Practical Assessment
Gleison Brito, Thais Mombach, Marco Tulio Valente · 2019
- The Mathematical Specification of the Statebox Language
Statebox Team, Fabrizio Genovese, Jelle Herold · 2019
- Better transfer learning with inferred successor maps
Tamas J. Madarasz · 2019
- On the interplay between noise and curvature and its effect on optimization and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Mangazol, Yoshua Bengio, Nicolas Le Roux · 2019
- Gender trends in computer science authorship
Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni · 2019
- Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield
Dou Goodman, Tao Wei · 2019
- On the abandonment and survival of open source projects: An empirical investigation
Guilherme Avelino, Eleni Constantinou, Marco Tulio Valente, Alexander Serebrenik · 2019
- Branch Prediction Is Not a Solved Problem: Measurements, Opportunities, and Future Directions
Chit-Kwan Lin, Stephen J. Tarsa · 2019
- Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm · 2019
- XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, Quoc V. Le · 2019
- Neural Point-Based Graphics
Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky · 2019
- Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks
Roni Stern, Nathan Sturtevant, Ariel Felner, Sven Koenig, Hang Ma, Thayne Walker, Jiaoyang Li, Dor Atzmon, Liron Cohen, T. K. Satish Kumar, Eli Boyarski, Roman Bartak · 2019
- Calibrated Model-Based Deep Reinforcement Learning
Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon · 2019
- REflex: Flexible Framework for Relation Extraction in Multiple Domains
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits · 2019
- Light Field Saliency Detection with Deep Convolutional Networks
Jun Zhang, Yamei Liu, Shengping Zhang, Ronald Poppe, Meng Wang · 2019
- Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial Neural Networks
Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín · 2019
- An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait · 2019
- Multi-Grained Named Entity Recognition
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu · 2019
- Designing Game of Theorems
Yutaka Nagashima · 2019
- Measuring the Importance of User-Generated Content to Search Engines
Nicholas Vincent, Isaac Johnson, Patrick Sheehan, Brent Hecht · 2019
- Modeling AGI Safety Frameworks with Causal Influence Diagrams
Tom Everitt, Ramana Kumar, Victoria Krakovna, Shane Legg · 2019
- Generic Ontology Design Patterns at Work
Bernd Krieg-Brückner, Till Mossakowski, Fabian Neuhaus · 2019
- Understanding More about Human and Machine Attention in Deep Neural Networks
Qiuxia Lai, Salman Khan, Yongwei Nie, Jianbing Shen, Hanqiu Sun, Ling Shao · 2019
- Deep Neuroevolution of Recurrent and Discrete World Models
Sebastian Risi, Kenneth O. Stanley · 2019
- Customer Segmentation of Wireless Trajectory Data
Matthew R Karlsen, Sotiris K. Moschoyiannis · 2019
- A bibliometric analysis of Bitcoin scientific production
Ignasi Merediz-Solà, Aurelio F. Bariviera · 2019
- Deep Leakage from Gradients
Ligeng Zhu, Zhijian Liu, Song Han · 2019
- Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths
Shushman Choudhury, Mykel J. Kochenderfer · 2019
- Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan, Solon Barocas, Jon Kleinberg, Karen Levy · 2019
- A Bandit Approach to Posterior Dialog Orchestration Under a Budget
Sohini Upadhyay, Mayank Agarwal, Djallel Bounneffouf, Yasaman Khazaeni · 2019
- Predicting kills in Game of Thrones using network properties
Jaka Stavanja, Matej Klemen, Lovro Šubelj · 2019
- Neural networks with motivation
Sergey A. Shuvaev, Ngoc B. Tran, Marcus Stephenson-Jones, Bo Li, Alexei A. Koulakov · 2019
- Learning Activation Functions: A new paradigm for understanding Neural Networks
Mohit Goyal, Rajan Goyal, Brejesh Lall · 2019
- Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction
Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song · 2019
- Investigating Biases in Textual Entailment Datasets
Shawn Tan, Yikang Shen, Chin-wei Huang, Aaron Courville · 2019
- Encrypted DNS --> Privacy? A Traffic Analysis Perspective
Sandra Siby, Marc Juarez, Claudia Diaz, Narseo Vallina-Rodriguez, Carmela Troncoso · 2019
- Adversarial Computation of Optimal Transport Maps
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar, Aaron Courville · 2019
- MobilBye: Attacking ADAS with Camera Spoofing
Dudi Nassi, Raz Ben-Netanel, Yuval Elovici, Ben Nassi · 2019
- Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks
Stephen J Tarsa, Chit-Kwan Lin, Gokce Keskin, Gautham Chinya, Hong Wang · 2019
- Assembly line balancing with task division
Carlos Alexandre X. Silva, Les Foulds, Humberto J. Longo · 2019
- Three Red Suns in the Sky: A Transiting, Terrestrial Planet in a Triple M Dwarf System at 6.9 Parsecs
Jennifer G. Winters, Amber A. Medina, Jonathan M. Irwin, David Charbonneau, Nicola Astudillo-Defru, Elliott P. Horch, Jason D. Eastman, Eliot Vrijmoet, Todd J. Henry, Hannah Diamond-Lowe, Elaine Winston, Thomas Barclay, Xavier Bonfils, George R. Ricker, Roland Vanderspek, David W. Latham, Sara Seager, Joshua N. Winn, Jon M. Jenkins, St'ephane Udry, Joseph D. Twicken, Johanna K. Teske, Peter Tenenbaum, Francesco Pepe, Felipe Murgas, Philip S. Muirhead, Jessica Mink, Christophe Lovis, Alan M. Levine, S'ebastien L'epine, Wei-Chun Jao, Christopher E. Henze, G'abor Fur'esz, Thierry Forveille, Pedro Figueira, Gilbert A. Esquerdo, Courtney D. Dressing, Rodrigo F. D'iaz, Xavier Delfosse, Chris J. Burke, Franois Bouchy, Perry Berlind, Jose-Manuel Almenara · 2019
- Training an Interactive Helper
Mark Woodward, Chelsea Finn, Karol Hausman · 2019
- A free energy principle for a particular physics
Karl Friston · 2019
- Learning to Interactively Learn and Assist
Mark Woodward, Chelsea Finn, Karol Hausman · 2019
- Against the Norm: Modeling Daily Stock Returns with the Laplace Distribution
David Toth, Bruce Jones · 2019
- Perceptual Generative Autoencoders
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull · 2019
- A Framework for Evaluating Agricultural Ontologies
Anat Goldstein, Lior Fink, Gilad Ravid · 2019
- From IP ID to Device ID and KASLR Bypass (Extended Version)
Amit Klein, Benny Pinkas · 2019
- An AGI with Time-Inconsistent Preferences
James D. Miller, Roman Yampolskiy · 2019
- A Review on Deep Learning in Medical Image Reconstruction
Haimiao Zhang, Bin Dong · 2019
- Monte Carlo Gradient Estimation in Machine Learning
Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih · 2019
- Improving performance of deep learning models with axiomatic attribution priors and expected gradients
Gabriel Erion, Joseph D. Janizek, Pascal Sturmfels, Scott Lundberg, Su-In Lee · 2019
- Metalens With Artificial Focus Pattern
Mao Ye, Vishva Ray, Dachuan Wu, Yasha Yi · 2019
- Model-based annotation of coreference
Rahul Aralikatte, Anders Søgaard · 2019
- Proceedings Seventh International Workshop on Trends in Functional Programming in Education
Peter Achten, Heather Miller · 2019
- Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg · 2019
- Program Synthesis and Semantic Parsing with Learned Code Idioms
Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov · 2019
- On the correctness of Egalitarian Paxos
Pierre Sutra · 2019
- Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer · 2019
- Turing Test Revisited: A Framework for an Alternative
Aladdin Ayesh · 2019
- Rethinking Formal Models of Partially Observable Multiagent Decision Making
Vojtěch Kovařík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý · 2019
- MagneticSpy: Exploiting Magnetometer in Mobile Devices for Website and Application Fingerprinting
Nikolay Matyunin, Yujue Wang, Tolga Arul, Kristian Kullmann, Jakub Szefer, Stefan Katzenbeisser · 2019
- Learning Data Augmentation Strategies for Object Detection
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le · 2019
- Canonicalizing Knowledge Base Literals
Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks · 2019
- The elliptic stochastic quantization of some two dimensional Euclidean QFTs
Sergio Albeverio, Francesco C. De Vecchi, Massimiliano Gubinelli · 2019
- First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole
The Event Horizon Telescope Collaboration · 2019
- Identifying DNS-tunneled traffic with predictive models
Andreas Berg, Daniel Forsberg · 2019
- Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps
Osonde Osoba, Bart Kosko · 2019
- Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data
Ryan Hausen, Brant Robertson · 2019
- Reachability Deficits in Quantum Approximate Optimization
V. Akshay, H. Philathong, M. E. S. Morales, J. Biamonte · 2019
- The Random Transiter -- EPIC 249706694/HD 139139
S. Rappaport, A. Vanderburg, M. H. Kristiansen, M. R. Omohundro, H. M. Schwengeler, I. A. Terentev, F. Dai, K. Masuda, T. L. Jacobs, D. LaCourse, D. W. Latham, A. Bieryla, C. L. Hedges, J. Dittmann, G. Barentsen, W. Cochran, M. Endl, J. M. Jenkins, A. Mann · 2019
- Secure Client and Server Geolocation Over the Internet
AbdelRahman Abdou, Paul C. van Oorschot · 2019
- A Generative Model for Punctuation in Dependency Trees
Xiang Lisa Li, Dingquan Wang, Jason Eisner · 2019
- Exploring the Role of Prior Beliefs for Argument Persuasion
Esin Durmus, Claire Cardie · 2019
- Generalization to Novel Objects using Prior Relational Knowledge
Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun Bansal · 2019
- Generalization of Dempster-Shafer theory: A complex belief function
Fuyuan Xiao · 2019
- Distributed Clustering in the Anonymized Space with Local Differential Privacy
Lin Sun, Jun Zhao, Xiaojun Ye · 2019
- PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Ruixuan Luo, Jingjing Xu, Yi Zhang, Zhiyuan Zhang, Xuancheng Ren, Xu Sun · 2019
- A Trust Architecture for Blockchain in IoT
Volkan Dedeoglu, Raja Jurdak, Guntur D. Putra, Ali Dorri, Salil S. Kanhere · 2019
- Morphological Irregularity Correlates with Frequency
Shijie Wu, Ryan Cotterell, Timothy J. O'Donnell · 2019
- Inducing Syntactic Trees from BERT Representations
Rudolf Rosa, David Mareček · 2019
- EmotionX-KU: BERT-Max based Contextual Emotion Classifier
Kisu Yang, Dongyub Lee, Taesun Whang, Seolhwa Lee, Heuiseok Lim · 2019
- Approximate Causal Abstraction
Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern · 2019
- Simple Natural Language Processing Tools for Danish
Leon Derczynski · 2019
- Artificial Intelligence: the global landscape of ethics guidelines
Anna Jobin, Marcello Ienca, Effy Vayena · 2019
- Compositional Semantic Parsing Across Graphbanks
Matthias Lindemann, Jonas Groschwitz, Alexander Koller · 2019
- Semantic expressive capacity with bounded memory
Antoine Venant, Alexander Koller · 2019
- Selection via Proxy: Efficient Data Selection for Deep Learning
Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia · 2019
- Relating Simple Sentence Representations in Deep Neural Networks and the Brain
Sharmistha Jat, Hao Tang, Partha Talukdar, Tom Mitchell · 2019
- Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels
Murad Qasaimeh, Kristof Denolf, Jack Lo, Kees Vissers, Joseph Zambreno, Phillip H. Jones · 2019
- To Act or React: Investigating Proactive Strategies For Online Community Moderation
Hussam Habib, Maaz Bin Musa, Fareed Zaffar, Rishab Nithyanand · 2019
- Findings of the First Shared Task on Machine Translation Robustness
Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Pino, Hassan Sajjad · 2019