All paper pages
28734 retained paper pages. Page 85 of 288.
- Superposition of many models into one
Brian Cheung, Alex Terekhov, Yubei Chen, Pulkit Agrawal, Bruno Olshausen · 2019
- Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Chris Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros · 2019
- Formal Foundations of Serverless Computing
Abhinav Jangda, Donald Pinckney, Yuriy Brun, Arjun Guha · 2019
- Spectrum: A Framework for Adapting Consensus Protocols
Balaji Arun, Sebastiano Peluso, Binoy Ravindran · 2019
- From Dark Matter to Galaxies with Convolutional Networks
Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Siyu He, Gabriella Contardo, Francisco Villaescusa-Navarro, Shirley Ho · 2019
- Contextual Word Representations: A Contextual Introduction
Noah A. Smith · 2019
- Getafix: Learning to Fix Bugs Automatically
Johannes Bader, Andrew Scott, Michael Pradel, Satish Chandra · 2019
- Approximate leave-future-out cross-validation for Bayesian time series models
Paul-Christian Bürkner, Jonah Gabry, Aki Vehtari · 2019
- A parallel Fortran framework for neural networks and deep learning
Milan Curcic · 2019
- Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz, Yasaman Bahri, Roman Novak, Jascha Sohl-Dickstein, Jeffrey Pennington · 2019
- Forecasting the 2017-2018 Yemen Cholera Outbreak with Machine Learning
Rohil Badkundri, Victor Valbuena, Srikusmanjali Pinnamareddy, Brittney Cantrell, Janet Standeven · 2019
- A Generalised Solution to Distributed Consensus
Heidi Howard, Richard Mortier · 2019
- Seven Myths in Machine Learning Research
Oscar Chang, Hod Lipson · 2019
- Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing
Leonardo Novelli, Patricia Wollstadt, Pedro Mediano, Michael Wibral, Joseph T. Lizier · 2019
- SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
Youngjoo Jo, Jongyoul Park · 2019
- Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes
Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen · 2019
- SPINBIS: Spintronics based Bayesian Inference System with Stochastic Computing
Xiaotao Jia, Jianlei Yang, Pengcheng Dai, Runze Liu, Yiran Chen, Weisheng Zhao · 2019
- Towards Hardware Implementation of Neural Network-based Communication Algorithms
Fayçal Ait Aoudia, Jakob Hoydis · 2019
- 946-nm Nd:YAG digital-locked laser at $1.1\times10^{-16}$ in 1 s and transfer-locked to a cryogenic silicon cavity
A. Didier, S. Ignatovich, E. Benkler, M. Okhapkin, T. E. Mehlstäubler · 2019
- Jamming Suppression in Massive MIMO Systems
Hossein Akhlaghpasand, Emil Björnson, S. Mohammad Razavizadeh · 2019
- Estimating Network Effects Using Naturally Occurring Peer Notification Queue Counterfactuals
Craig Tutterow, Guillaume Saint-Jacques · 2019
- Simplifying Graph Convolutional Networks
Felix Wu, Tianyi Zhang, Amauri Holanda de Souza, Christopher Fifty, Tao Yu, Kilian Q. Weinberger · 2019
- Transfusion: Understanding Transfer Learning for Medical Imaging
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, Samy Bengio · 2019
- The Shutdown Problem: How Does a Blockchain System End?
Mark Stuart Day · 2019
- Semantic Neural Machine Translation using AMR
Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su · 2019
- Jensen polynomials for the Riemann zeta function and other sequences
Michael Griffin, Ken Ono, Larry Rolen, Don Zagier · 2019
- A constructive Knaster-Tarski proof of the uncountability of the reals
Ingo Blechschmidt, Matthias Hutzler · 2019
- The Provability of Consistency
Sergei Artemov · 2019
- DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
Yu Xing, Shuang Liang, Lingzhi Sui, Xijie Jia, Jiantao Qiu, Xin Liu, Yushun Wang, Yu Wang, Yi Shan · 2019
- Mapping the magnetic field of flare coronal loops
D. Kuridze, M. Mathioudakis, H. Morgan, R. Oliver, L. Kleint, T. V. Zaqarashvili, A. Reid, J. Koza, M. G. Löfdahl, T. Hillberg, V. Kukhianidze, A. Hanslmeier · 2019
- The Weak Call-By-Value λ-Calculus is Reasonable for Both Time and Space
Yannick Forster, Fabian Kunze, Marc Roth · 2019
- Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study
Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu · 2019
- Random Search and Reproducibility for Neural Architecture Search
Liam Li, Ameet Talwalkar · 2019
- ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Mark Neumann, Daniel King, Iz Beltagy, Waleed Ammar · 2019
- Massive MIMO is a Reality -- What is Next? Five Promising Research Directions for Antenna Arrays
Emil Björnson, Luca Sanguinetti, Henk Wymeersch, Jakob Hoydis, Thomas L. Marzetta · 2019
- From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following
Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama · 2019
- SMART: Secure Magnetoelectric AntifeRromagnet-Based Tamper-Proof Non-Volatile Memory
Nikhil Rangarajan, Satwik Patnaik, Johann Knechtel, Ozgur Sinanoglu, Shaloo Rakheja · 2019
- Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms
Michael Adam Lones · 2019
- Unsupervised Grounding of Plannable First-Order Logic Representation from Images
Masataro Asai · 2019
- Really Small Shoe Boxes - On Realistic Quantum Resource Estimation
Alexandru Paler, Daniel Herr, Simon J. Devitt · 2019
- Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann · 2019
- Overcoming Multi-Model Forgetting
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony Davison, Mathieu Salzmann, Claudiu Musat · 2019
- Capuchin: Causal Database Repair for Algorithmic Fairness
Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu · 2019
- How I Learned to Stop Worrying and Love Re-optimization
Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker · 2019
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia X. Chen, Ye Jia, Anjuli Kannan, Tara Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel A. U. Bacchiani, Thomas B. Jablin, Rob Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon · 2019
- Parsing Gigabytes of JSON per Second
Geoff Langdale, Daniel Lemire · 2019
- Generative Memory for Lifelong Reinforcement Learning
Aswin Raghavan, Jesse Hostetler, Sek Chai · 2019
- Online Meta-Learning
Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine · 2019
- What makes a good conversation? How controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela, Jason Weston · 2019
- VoroCrust: Voronoi Meshing Without Clipping
Ahmed Abdelkader, Chandrajit L. Bajaj, Mohamed S. Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, Ahmad A. Rushdi · 2019
- Flattening Karatsuba's recursion tree into a single summation
Thomas Baruchel · 2019
- A Noether Theorem for discrete Covariant Mechanics
Fabio D'Ambrosio · 2019
- Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs
Yaniv David, Uri Alon, Eran Yahav · 2019
- End-to-end Hand Mesh Recovery from a Monocular RGB Image
Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, Wen Zheng · 2019
- PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication
Kristina Spirovska, Diego Didona, Willy Zwaenepoel · 2019
- A Systematic Impact Study for Fuzzer-Found Compiler Bugs
Michaël Marcozzi, Qiyi Tang, Alastair F. Donaldson, Cristian Cadar · 2019
- Generic optical excitations of correlated systems: $π$-tons
Anna Kauch, Petra Pudleiner, Katharina Astleithner, Patrik Thunström, Tin Ribic, Karsten Held · 2019
- Embedded Agency
Abram Demski, Scott Garrabrant · 2019
- GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
Drew A. Hudson, Christopher D. Manning · 2019
- The State of Sparsity in Deep Neural Networks
Trevor Gale, Erich Elsen, Sara Hooker · 2019
- Fractal: Automated Application Scaling
Masoud Koleini, Carlos Oviedo, Derek McAuley, Charalampos Rotsos, Anil Madhavapeddy, Thomas Gazagnaire, Magnus Skejgstad, Richard Mortier · 2019
- Conservative Agency via Attainable Utility Preservation
Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli · 2019
- Stereo R-CNN based 3D Object Detection for Autonomous Driving
Peiliang Li, Xiaozhi Chen, Shaojie Shen · 2019
- Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?
Céline Hocquette, Stephen H. Muggleton · 2019
- Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision Sensors
Jyotibdha Acharya, Vandana Padala, Arindam Basu · 2019
- An Abstract View on the De-anonymization Process
Alexandros Bampoulidis, Mihai Lupu · 2019
- The Termination Critic
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Remi Munos, Doina Precup · 2019
- The Planet Nine Hypothesis
Konstantin Batygin, Fred C. Adams, Michael E. Brown, Juliette C. Becker · 2019
- Ground-state energy estimation of the water molecule on a trapped ion quantum computer
Yunseong Nam, Jwo-Sy Chen, Neal C. Pisenti, Kenneth Wright, Conor Delaney, Dmitri Maslov, Kenneth R. Brown, Stewart Allen, Jason M. Amini, Joel Apisdorf, Kristin M. Beck, Aleksey Blinov, Vandiver Chaplin, Mika Chmielewski, Coleman Collins, Shantanu Debnath, Andrew M. Ducore, Kai M. Hudek, Matthew Keesan, Sarah M. Kreikemeier, Jonathan Mizrahi, Phil Solomon, Mike Williams, Jaime David Wong-Campos, Christopher Monroe, Jungsang Kim · 2019
- Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller · 2019
- Attention is not Explanation
Sarthak Jain, Byron C. Wallace · 2019
- Stateful Dataflow Multigraphs: A Data-Centric Model for Performance Portability on Heterogeneous Architectures
Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler · 2019
- On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K. Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato · 2019
- Accelerating Self-Play Learning in Go
David J. Wu · 2019
- Learning Factored Markov Decision Processes with Unawareness
Craig Innes, Alex Lascarides · 2019
- On Constrained Open-World Probabilistic Databases
Tal Friedman, Guy Van den Broeck · 2019
- A Replication Study: Machine Learning Models Are Capable of Predicting Sexual Orientation From Facial Images
John Leuner · 2019
- Foundations of quantum physics I. A critique of the tradition
Arnold Neumaier · 2019
- Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar · 2019
- A Survey on Applications of Game Theory in Blockchain
Ziyao Liu, Nguyen Cong Luong, Wenbo Wang, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim · 2019
- Lower Bounds for Multiplication via Network Coding
Peyman Afshani, Casper Benjamin Freksen, Lior Kamma, Kasper Green Larsen · 2019
- A new Einstein Cross gravitational lens of a Lyman-break galaxy
D. Bettoni, R. Falomo, R. Scarpa, M. Negrello, A. Omizzolo, R. L. M. Corradi, D. Reverte, B. Vulcani · 2019
- Predictive Inequity in Object Detection
Benjamin Wilson, Judy Hoffman, Jamie Morgenstern · 2019
- Artist Style Transfer Via Quadratic Potential
Rahul Bhalley, Jianlin Su · 2019
- Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability
Miriam Redi, Besnik Fetahu, Jonathan Morgan, Dario Taraborelli · 2019
- An Illustrated History of Black Hole Imaging : Personal Recollections (1972-2002)
Jean-Pierre Luminet · 2019
- FastFusionNet: New State-of-the-Art for DAWNBench SQuAD
Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger · 2019
- A detailed comparative study of open source deep learning frameworks
Ghadeer Al-Bdour, Raffi Al-Qurran, Mahmoud Al-Ayyoub, Ali Shatnawi · 2019
- DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner · 2019
- MIPS-Core Application Specific Instruction-Set Processor for IDEA Cryptography - Comparison between Single-Cycle and Multi-Cycle Architectures
Ahmad Ahmadi, Reza Faghih Mirzaee · 2019
- Frequency Domain Transformer Networks for Video Prediction
Hafez Farazi, Sven Behnke · 2019
- Model-Based Reinforcement Learning for Atari
Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski · 2019
- Learning To Follow Directions in Street View
Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell · 2019
- Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
Daniel C. Elton, Dhruv Turakhia, Nischal Reddy, Zois Boukouvalas, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung · 2019
- SPOILER: Speculative Load Hazards Boost Rowhammer and Cache Attacks
Saad Islam, Ahmad Moghimi, Ida Bruhns, Moritz Krebbel, Berk Gulmezoglu, Thomas Eisenbarth, Berk Sunar · 2019
- An FPTAS for Stochastic Unbounded Min-Knapsack Problem
Zhihao Jiang, Haoyu Zhao · 2019
- An Experimental Study of Shor's Factoring Algorithm on IBM Q
Mirko Amico, Zain H. Saleem, Muir Kumph · 2019
- Oxide: The Essence of Rust
Aaron Weiss, Olek Gierczak, Daniel Patterson, Amal Ahmed · 2019
- Hacking Google reCAPTCHA v3 using Reinforcement Learning
Ismail Akrout, Amal Feriani, Mohamed Akrout · 2019
- Graphical Calculus for products and convolutions
Filippo M. Miatto · 2019