All paper pages
28734 retained paper pages. Page 74 of 288.
- Neural Processes
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh · 2018
- Cimple: Instruction and Memory Level Parallelism
Vladimir Kiriansky, Haoran Xu, Martin Rinard, Saman Amarasinghe · 2018
- Towards an optical FPGA - Programmable silicon photonic circuits
Xia Chen, Milan M. Milosevic, Antoine F. J. Runge, Xingshi Yu, Ali Z. Khokhar, Sakellaris Mailis, David J. Thomson, Anna C. Peacock, Shinichi Saito, Graham T. Reed · 2018
- Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir · 2018
- Direct Uncertainty Prediction for Medical Second Opinions
Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Robert Kleinberg, Sendhil Mullainathan, Jon Kleinberg · 2018
- BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner, Aaron Klein, Frank Hutter · 2018
- Zipf's law in 50 languages: its structural pattern, linguistic interpretation, and cognitive motivation
Shuiyuan Yu, Chunshan Xu, Haitao Liu · 2018
- Testing the universality of free fall by tracking a pulsar in a stellar triple system
Anne M. Archibald, Nina V. Gusinskaia, Jason W. T. Hessels, Adam T. Deller, David L. Kaplan, Duncan R. Lorimer, Ryan S. Lynch, Scott M. Ransom, Ingrid H. Stairs · 2018
- Accelerated physical emulation of Bayesian inference in spiking neural networks
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici · 2018
- Multi-modal Non-line-of-sight Passive Imaging
Andre Beckus, Alexandru Tamasan, George K. Atia · 2018
- Overview and Comparison of Gate Level Quantum Software Platforms
Ryan LaRose · 2018
- The Elasticity of Nuclear Pasta
M. E. Caplan, A. S. Schneider, C. J. Horowitz · 2018
- A Tutorial on Bayesian Optimization
Peter I. Frazier · 2018
- A Longitudinal Cohort Study on the Retainment of Test-Driven Development
Davide Fucci, Simone Romano, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Scanniello, Burak Thuran, Natalia Juristo · 2018
- XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference
Francesco Conti, Pasquale Davide Schiavone, Luca Benini · 2018
- Pioneer Networks: Progressively Growing Generative Autoencoder
Ari Heljakka, Arno Solin, Juho Kannala · 2018
- Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma, Prafulla Dhariwal · 2018
- RNNIDS: Enhancing Network Intrusion Detection Systems through Deep Learning
Soroush M. Sohi, Jean-Pierre Seifert, Fatemeh Ganji · 2018
- An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski · 2018
- Troubling Trends in Machine Learning Scholarship
Zachary C. Lipton, Jacob Steinhardt · 2018
- Theoretical Model of Computation and Algorithms for FPGA-based Hardware Accelerators
Martin Hora, Václav Končický, Jakub Tětek · 2018
- Speculative Buffer Overflows: Attacks and Defenses
Vladimir Kiriansky, Carl Waldspurger · 2018
- Universal Transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Łukasz Kaiser · 2018
- Boltzmann machines as thermal models for quantum systems
Steven Weinstein · 2018
- Medusa: A Scalable Interconnect for Many-Port DNN Accelerators and Wide DRAM Controller Interfaces
Yongming Shen, Tianchu Ji, Michael Ferdman, Peter Milder · 2018
- Everybody's Got To Be Somewhere
Conor McBride · 2018
- ThingPot: an interactive Internet-of-Things honeypot
Meng Wang, Javier Santillan, Fernando Kuipers · 2018
- Emergence of Altruism Behavior for Multi Feeding Areas in Army Ant Social Evolutionary System
Takumi Ichimura, Takuya Uemoto, Akira Hara · 2018
- TherML: Thermodynamics of Machine Learning
Alexander A. Alemi, Ian Fischer · 2018
- A Hardware-Software Blueprint for Flexible Deep Learning Specialization
Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy · 2018
- Measuring abstract reasoning in neural networks
David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy Lillicrap · 2018
- A quantum-inspired classical algorithm for recommendation systems
Ewin Tang · 2018
- Automated Vulnerability Detection in Source Code Using Deep Representation Learning
Rebecca L. Russell, Louis Kim, Lei H. Hamilton, Tomo Lazovich, Jacob A. Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley · 2018
- Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation
Miguel Campo, Cheng-Kang Hsieh, Matt Nickens, JJ Espinoza, Abhinav Taliyan, Julie Rieger, Jean Ho, Bettina Sherick · 2018
- Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov, Adam Santoro, Blake A. Richards, Luke Marris, Geoffrey E. Hinton, Timothy Lillicrap · 2018
- Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
Hanwei Wu, Markus Flierl · 2018
- Automatically Composing Representation Transformations as a Means for Generalization
Michael B. Chang, Abhishek Gupta, Sergey Levine, Thomas L. Griffiths · 2018
- Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable
Ryan McConville, Gareth Archer, Ian Craddock, Herman ter Horst, Robert Piechocki, James Pope, Raul Santos-Rodriguez · 2018
- Traversable wormholes in four dimensions
Juan Maldacena, Alexey Milekhin, Fedor Popov · 2018
- Perceptrons from Memristors
Francisco Silva, Mikel Sanz, João Seixas, Enrique Solano, Yasser Omar · 2018
- Large-Scale Visual Speech Recognition
Brendan Shillingford, Yannis Assael, Matthew W. Hoffman, Thomas Paine, Cían Hughes, Utsav Prabhu, Hank Liao, Hasim Sak, Kanishka Rao, Lorrayne Bennett, Marie Mulville, Ben Coppin, Ben Laurie, Andrew Senior, Nando de Freitas · 2018
- Quantum Speedups for Exponential-Time Dynamic Programming Algorithms
Andris Ambainis, Kaspars Balodis, Jānis Iraids, Martins Kokainis, Krišjānis Prūsis, Jevgēnijs Vihrovs · 2018
- How Do Classifiers Induce Agents To Invest Effort Strategically?
Jon Kleinberg, Manish Raghavan · 2018
- TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin Pedretti, Albert Reuther, Thomas Sterling, Mike Stonebraker · 2018
- Beyond Data and Model Parallelism for Deep Neural Networks
Zhihao Jia, Matei Zaharia, Alex Aiken · 2018
- Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze · 2018
- NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana · 2018
- Smartphone-based user positioning in a multiple-user context with Wi-Fi and Bluetooth
Viet-Cuong Ta, Trung-Kien Dao, Dominique Vaufreydaz, Eric Castelli · 2018
- A Lyra2 FPGA Core for Lyra2REv2-Based Cryptocurrencies
Michiel Van Beirendonck, Louis-Charles Trudeau, Pascal Giard, Alexios Balatsoukas-Stimming · 2018
- oo7: Low-overhead Defense against Spectre Attacks via Program Analysis
Guanhua Wang, Sudipta Chattopadhyay, Ivan Gotovchits, Tulika Mitra, Abhik Roychoudhury · 2018
- Efficient DSP and Circuit Architectures for Massive MIMO: State-of-the-Art and Future Directions
Liesbet Van der Perre, Liang Liu, Erik G. Larsson · 2018
- What is algebraic about algebraic effects and handlers?
Andrej Bauer · 2018
- Towards a Theory of Software Development Expertise
Sebastian Baltes, Stephan Diehl · 2018
- Planck 2018 results. VI. Cosmological parameters
Planck Collaboration, N. Aghanim, Y. Akrami, M. Ashdown, J. Aumont, C. Baccigalupi, M. Ballardini, A. J. Banday, R. B. Barreiro, N. Bartolo, S. Basak, R. Battye, K. Benabed, J. -P. Bernard, M. Bersanelli, P. Bielewicz, J. J. Bock, J. R. Bond, J. Borrill, F. R. Bouchet, F. Boulanger, M. Bucher, C. Burigana, R. C. Butler, E. Calabrese, J. -F. Cardoso, J. Carron, A. Challinor, H. C. Chiang, J. Chluba, L. P. L. Colombo, C. Combet, D. Contreras, B. P. Crill, F. Cuttaia, P. de Bernardis, G. de Zotti, J. Delabrouille, J. -M. Delouis, E. Di Valentino, J. M. Diego, O. Doré, M. Douspis, A. Ducout, X. Dupac, S. Dusini, G. Efstathiou, F. Elsner, T. A. Enßlin, H. K. Eriksen, Y. Fantaye, M. Farhang, J. Fergusson, R. Fernandez-Cobos, F. Finelli, F. Forastieri, M. Frailis, A. A. Fraisse, E. Franceschi, A. Frolov, S. Galeotta, S. Galli, K. Ganga, R. T. Génova-Santos, M. Gerbino, T. Ghosh, J. González-Nuevo, K. M. Górski, S. Gratton, A. Gruppuso, J. E. Gudmundsson, J. Hamann, W. Handley, F. K. Hansen, D. Herranz, S. R. Hildebrandt, E. Hivon, Z. Huang, A. H. Jaffe, W. C. Jones, A. Karakci, E. Keihänen, R. Keskitalo, K. Kiiveri, J. Kim, T. S. Kisner, L. Knox, N. Krachmalnicoff, M. Kunz, H. Kurki-Suonio, G. Lagache, J. -M. Lamarre, A. Lasenby, M. Lattanzi, C. R. Lawrence, M. Le Jeune, P. Lemos, J. Lesgourgues, F. Levrier, A. Lewis, M. Liguori, P. B. Lilje, M. Lilley, V. Lindholm, M. López-Caniego, P. M. Lubin, Y. -Z. Ma, J. F. Macías-Pérez, G. Maggio, D. Maino, N. Mandolesi, A. Mangilli, A. Marcos-Caballero, M. Maris, P. G. Martin, M. Martinelli, E. Martínez-González, S. Matarrese, N. Mauri, J. D. McEwen, P. R. Meinhold, A. Melchiorri, A. Mennella, M. Migliaccio, M. Millea, S. Mitra, M. -A. Miville-Deschênes, D. Molinari, L. Montier, G. Morgante, A. Moss, P. Natoli, H. U. Nørgaard-Nielsen, L. Pagano, D. Paoletti, B. Partridge, G. Patanchon, H. V. Peiris, F. Perrotta, V. Pettorino, F. Piacentini, L. Polastri, G. Polenta, J. -L. Puget, J. P. Rachen, M. Reinecke, M. Remazeilles, A. Renzi, G. Rocha, C. Rosset, G. Roudier, J. A. Rubiño-Martín, B. Ruiz-Granados, L. Salvati, M. Sandri, M. Savelainen, D. Scott, E. P. S. Shellard, C. Sirignano, G. Sirri, L. D. Spencer, R. Sunyaev, A. -S. Suur-Uski, J. A. Tauber, D. Tavagnacco, M. Tenti, L. Toffolatti, M. Tomasi, T. Trombetti, L. Valenziano, J. Valiviita, B. Van Tent, L. Vibert, P. Vielva, F. Villa, N. Vittorio, B. D. Wandelt, I. K. Wehus, M. White, S. D. M. White, A. Zacchei, A. Zonca · 2018
- Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji, João F. Henriques, Andrea Vedaldi · 2018
- Adaptive Neural Trees
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya Nori · 2018
- Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer, Ryan P. Adams, Ian Goodfellow, David Andersen, George E. Dahl · 2018
- BOLT: A Practical Binary Optimizer for Data Centers and Beyond
Maksim Panchenko, Rafael Auler, Bill Nell, Guilherme Ottoni · 2018
- Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation
Adam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea · 2018
- Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior
Vineeth S. Bhaskara, Debanjan Bhattacharyya · 2018
- Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks
João Loula, Marco Baroni, Brenden M. Lake · 2018
- Evolution of the galaxy stellar mass functions and UV luminosity functions at $z=6-9$ in the Hubble Frontier Fields
Rachana Bhatawdekar, Christopher J. Conselice, Berta Margalef-Bentabol, Kenneth Duncan · 2018
- CRAM: Efficient Hardware-Based Memory Compression for Bandwidth Enhancement
Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi · 2018
- Physical Adversarial Examples for Object Detectors
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramer, Atul Prakash, Tadayoshi Kohno, Dawn Song · 2018
- Bridging the Gap between Programming Languages and Hardware Weak Memory Models
Anton Podkopaev, Ori Lahav, Viktor Vafeiadis · 2018
- The edge of space: Revisiting the Karman Line
Jonathan C. McDowell · 2018
- Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices
Yu-Hsin Chen, Tien-Ju Yang, Joel Emer, Vivienne Sze · 2018
- Spectre Returns! Speculation Attacks using the Return Stack Buffer
Esmaeil Mohammadian Koruyeh, Khaled Khasawneh, Chengyu Song, Nael Abu-Ghazaleh · 2018
- A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise
Bo Fu, Xiao-Yang Zhao, Yi Li, Xiang-Hai Wang, Yong-Gong Ren · 2018
- Rapid Autonomous Car Control based on Spatial and Temporal Visual Cues
Surya Dantuluri · 2018
- Subset Sum Made Simple
Konstantinos Koiliaris, Chao Xu · 2018
- Some Fundamental Theorems in Mathematics
Oliver Knill · 2018
- Implementing Neural Turing Machines
Mark Collier, Joeran Beel · 2018
- Coexistence of Diamagnetism and Vanishingly Small Electrical Resistance at Ambient Temperature and Pressure in Nanostructures
Dev Kumar Thapa, Saurav Islam, Subham Kumar Saha, Phanibhusan Singha Mahapatra, Biswajit Bhattacharyya, T. Phanindra Sai, Rekha Mahadevu, Satish Patil, Arindam Ghosh, Anshu Pandey · 2018
- Recent Advances in Convolutional Neural Network Acceleration
Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu · 2018
- Mathematical General Relativity
Alan A. Coley · 2018
- Measuring the Impact of Spectre and Meltdown
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner · 2018
- The gravitational mass carried by sound waves
Angelo Esposito, Rafael Krichevsky, Alberto Nicolis · 2018
- PCNNA: A Photonic Convolutional Neural Network Accelerator
Armin Mehrabian, Yousra Al-Kabani, Volker J Sorger, Tarek El-Ghazawi · 2018
- One for All, All for One: A Heterogeneous Data Plane for Flexible P4 Processing
Jeferson Santiago da Silva, Thibaut Stimpfling, Thomas Luinaud, Bachir Fradj, Bochra Boughzala · 2018
- Meta-Learning Priors for Efficient Online Bayesian Regression
James Harrison, Apoorva Sharma, Marco Pavone · 2018
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi Jaakkola, Joshua B. Tenenbaum · 2018
- An argument in favor of strong scaling for deep neural networks with small datasets
Renato L. de F. Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dario Augusto Borges Oliveira · 2018
- Using Multi-Core HW/SW Co-design Architecture for Accelerating K-means Clustering Algorithm
Hadi Mardani Kamali · 2018
- CSIndexbr: Exploring the Brazilian Scientific Production in Computer Science
Marco Tulio Valente, Klérisson Paixão · 2018
- Noise Contrastive Priors for Functional Uncertainty
Danijar Hafner, Dustin Tran, Timothy Lillicrap, Alex Irpan, James Davidson · 2018
- Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel · 2018
- A User Modeling Pipeline for Studying Polarized Political Events in Social Media
Roberto Napoli, Ali Mert Ertugrul, Alessandro Bozzon, Marco Brambilla · 2018
- Specification-Based Protocol Obfuscation
Julien Duchene, Eric Alata, Vincent Nicomette, Mohamed Kaâniche, Colas Le Guernic · 2018
- Millimeter-Wave Propagation within a Computer Chip Package
X. Timoneda, S. Abadal, A. Cabellos-Aparicio, D. Manessis, J. Zhou, A. Franques, J. Torrellas, E. Alarcón · 2018
- Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs
Linpeng Tang, Yida Wang, Theodore L. Willke, Kai Li · 2018
- Programmable collective behavior in dynamically self-assembled mobile microrobotic swarms
Berk Yigit, Yunus Alapan, Metin Sitti · 2018
- HiDDeN: Hiding Data With Deep Networks
Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei · 2018
- Artificial Intelligent Atomic Force Microscope Enabled by Machine Learning
Boyuan Huang, Zhenghao Li, Jiangyu Li · 2018
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua · 2018
- Do quantum propositions obey the principle of excluded middle?
Arkady Bolotin · 2018
- NetSpectre: Read Arbitrary Memory over Network
Michael Schwarz, Martin Schwarzl, Moritz Lipp, Daniel Gruss · 2018
- Blueberry Earth
Anders Sandberg · 2018
- FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software
Jin Hee Kim, Brett Grady, Ruolong Lian, John Brothers, Jason H. Anderson · 2018
- Semi-convolutional Operators for Instance Segmentation
David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi · 2018