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ORCIDCoRR, June 2018
- Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri:
A mixture model for aggregation of multiple pre-trained weak classifiers. - Truong-Huy D. Nguyen, Kasper Grispino, Damian M. Lyons:
Towards Affective Drone Swarms: A Preliminary Crowd-Sourced Study. - Ji Feng, Yang Yu, Zhi-Hua Zhou:
Multi-Layered Gradient Boosting Decision Trees. - Bastien Maubert, Aniello Murano:
Reasoning about Knowledge and Strategies. - Andy Edmonds, Chris Woods, Ana Juan Ferrer, Juan Francisco Ribera, Thomas Michael Bohnert:
Blip: JIT and Footloose On The Edge. - Ilias Diakonikolas, Weihao Kong, Alistair Stewart:
Efficient Algorithms and Lower Bounds for Robust Linear Regression. - Subhojeet Pramanik, Aman Hussain:
Text Normalization using Memory Augmented Neural Networks. - Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. - Andrew Cotter, Maya R. Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu:
Interpretable Set Functions. - Biao He, Hamid Jafarkhani:
Millimeter Wave Communications with Reconfigurable Antennas. - Taesung Lee, Benjamin Edwards, Ian M. Molloy, Dong Su:
Defending Against Model Stealing Attacks Using Deceptive Perturbations. - Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
Privacy Under Hard Distortion Constraints. - Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency:
Efficient Low-rank Multimodal Fusion with Modality-Specific Factors. - Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal:
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning. - Cheuk Ting Li, Xiugang Wu, Ayfer Özgür, Abbas El Gamal:
Minimax Learning for Remote Prediction. - Partha Ghosh, Arpan Losalka, Michael J. Black:
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders. - Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas:
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. - Chaomei Chen:
Cascading Citation Expansion. - Ibrahim Alsolami, Wolfgang Heidrich:
Imaging with SPADs and DMDs: Seeing through Diffraction-Photons. - Daniel Méndez Fernández, Wolfgang Böhm, Andreas Vogelsang, Jakob Mund, Manfred Broy, Marco Kuhrmann, Thorsten Weyer:
Artefacts in Software Engineering: What are they after all? - Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu:
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. - Yasamin Jafarian, Yuan Yao, Hyun Soo Park:
MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence. - Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan:
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. - Jonathan Vacher, Pascal Mamassian, Ruben Coen Cagli:
An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. - Ian Abraham, Anastasia Mavrommati, Todd D. Murphey:
Data-Driven Measurement Models for Active Localization in Sparse Environments. - Yulin Zhang, Dylan A. Shell:
Complete characterization of a class of privacy-preserving tracking problems. - Christoph Redl:
Technical Report: Inconsistency in Answer Set Programs and Extensions. - Amrita Ghosal, Mauro Conti:
Key Management Systems for Smart Grid Advanced Metering Infrastructure: A Survey. - Tiancheng Liu, Yuchen Qian, Xi Chen, Xiaobai Sun:
Damping Effect on PageRank Distribution. - Jie Yuan, Abdullah Ates, Sina Dehghan, Yang Zhao, Shumin Fei, YangQuan Chen:
PID2018 Benchmark Challenge: Model-based Feedforward Compensator with A Conditional Integrator. - Vamsi K. Amalladinne, Avinash Vem, Dileep Kumar Soma, Krishna R. Narayanan, Jean-François Chamberland:
A Coupled Compressive Sensing Scheme for Unsourced Multiple Access. - Bharath Ramsundar, Roger Chen, Alok Vasudev, Rob Robbins, Artur Gorokh:
Tokenized Data Markets. - Priyam Parashar, Akansel Cosgun, Alireza Nakhaei, Kikuo Fujimura:
Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations. - Frank Nielsen, Ke Sun:
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators. - Nathalie Majcherczyk, Adhavan Jayabalan, Giovanni Beltrame, Carlo Pinciroli:
Decentralized Connectivity-Preserving Deployment of Large-Scale Robot Swarms. - Juyoung Lee, Yoseob Han, Jong Chul Ye:
k-Space Deep Learning for Reference-free EPI Ghost Correction. - Najmeh Sadoughi, Carlos Busso:
Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks. - Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch:
Training LSTM Networks with Resistive Cross-Point Devices. - Ramtin Keramati, Jay Whang, Patrick Cho, Emma Brunskill:
Strategic Object Oriented Reinforcement Learning. - Wonyeol Lee, Hangyeol Yu, Hongseok Yang:
Reparameterization Gradient for Non-differentiable Models. - Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang:
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. - George Philipp, Jaime G. Carbonell:
The Nonlinearity Coefficient - Predicting Overfitting in Deep Neural Networks. - Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam:
Robust TMA using the possibility particle filter. - Qiangqiang Yuan, Qiang Zhang, Jie Li, Huanfeng Shen, Liangpei Zhang:
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network. - Nayyer Aafaq, Syed Zulqarnain Gilani, Wei Liu, Ajmal Mian:
Video Description: A Survey of Methods, Datasets and Evaluation Metrics. - Myle Ott, Sergey Edunov, David Grangier, Michael Auli:
Scaling Neural Machine Translation. - Yulun Tian, Kasra Khosoussi, Matthew Giamou, Jonathan P. How, Jonathan Kelly:
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection. - Jatin Bedi, Durga Toshniwal:
SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF. - Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang:
Deep Imbalanced Learning for Face Recognition and Attribute Prediction. - Yang Lyu, Quan Pan, Jinwen Hu, Chunhui Zhao, Shuai Liu:
Multi-vehicle Flocking Control with Deep Deterministic Policy Gradient Method. - Keisuke Goto, Tomohiro I, Hideo Bannai, Shunsuke Inenaga:
Block Palindromes: A New Generalization of Palindromes. - Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai:
Being curious about the answers to questions: novelty search with learned attention. - Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Warut Suksompong:
Asymptotic Existence of Proportionally Fair Allocations. - Iman Tahamtan, Lutz Bornmann:
Creativity in Science and the Link to Cited References: Is the Creative Potential of Papers Reflected in their Cited References? - Thomas Minier, Hala Skaf-Molli, Pascal Molli:
SaGe: Preemptive Query Execution for High Data Availability on the Web. - Junsuk Choe, Joo Hyun Park, Hyunjung Shim:
Unsupervised Object Localization using Generative Adversarial Networks. - Simone Silvetti, Laura Nenzi, Ezio Bartocci, Luca Bortolussi:
Signal Convolution Logic. - Lukas Holzbaur, Ragnar Freij-Hollanti, Antonia Wachter-Zeh, Camilla Hollanti:
Private Streaming with Convolutional Codes. - Zoran Hadzi-Velkov, Slavche Pejoski, Nikola Zlatanov, Robert Schober:
Proportional Fairness in ALOHA Networks with RF Energy Harvesting. - Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Costas Bekas, A. Cristiano I. Malossi:
TAPAS: Train-less Accuracy Predictor for Architecture Search. - Moses Ganardi, Stefan Göller, Markus Lohrey:
The Complexity of Bisimulation and Simulation on Finite Systems. - Ligang Zhang, Jiulong Zhang:
Synchronous Prediction of Arousal and Valence Using LSTM Network for Affective Video Content Analysis. - Chenhui Chu, Rui Wang:
A Survey of Domain Adaptation for Neural Machine Translation. - Fabio Calefato, Giovanna Castellano, Veronica Rossano:
A Revision Control System for Image Editing in Collaborative Multimedia Design. - Ting-Ting Liang, Satoshi Tsutsui, Liangcai Gao, Jing-Jing Lu, Mengyan Sun:
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion. - Firat Özdemir, Philipp Fürnstahl, Orçun Göksel:
Learn the new, keep the old: Extending pretrained models with new anatomy and images. - Paul Schmitt, Anne Edmundson, Nick Feamster:
Oblivious DNS: Practical Privacy for DNS Queries. - Seyed Mehdi Nasiri, Reshad Hosseini, Hadi Moradi:
A Recursive Least Square Method for 3D Pose Graph Optimization Problem. - Zong-Yuan Tan, Ning Cai, Jian Zhou:
Analysis of Peer Review Effectiveness for Academic Journals Based on Distributed Parallel System. - Andrija Stajduhar, Domagoj Dzaja, Milos Judas, Sven Loncaric:
Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain. - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Fast Artificial Immune Systems. - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Partition Problem. - José A. R. Fonollosa:
Joint Size and Depth Optimization of Sorting Networks. - David Puljiz
, Gleb Gorbachev, Björn Hein:
Implementation of Augmented Reality in Autonomous Warehouses: Challenges and Opportunities. - Thanaa S. Alnusairi, Ashraf A. Shahin, Yassine Daadaa:
Binary PSOGSA for Load Balancing Task Scheduling in Cloud Environment. - Billy E. Geerhart, Venkat R. Dasari:
Well defined quantum key distribution using calibration, synchronization, and a programmable quantum channel. - Elif Tugçe Ceran, Deniz Gündüz, András György:
A Reinforcement Learning Approach to Age of Information in Multi-User Networks. - William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer:
Producing radiologist-quality reports for interpretable artificial intelligence. - John Longley:
The encodability hierarchy for PCF types. - Mieczyslaw A. Klopotek:
Too Fast Causal Inference under Causal Insufficiency. - Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik:
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. - Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. - Mejdi Ben Dkhil, Ali Wali, Adel M. Alimi:
Towards a new system for drowsiness detection based on eye blinking and head posture estimation. - Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. - Ce Qi, Zhizhong Liu, Fei Su:
Accurate and Efficient Similarity Search for Large Scale Face Recognition. - Pragna Das, Vincent Hilaire, Lluís Ribas-Xirgo:
An Ontology to Support Collective Intelligence in Decentralised Multi-Robot Systems. - Xun Gong, Yaohui Guo, Yiheng Feng, Jing Sun, Ding Zhao:
Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles. - Andreas Brandstädt, Raffaele Mosca:
On Efficient Domination for Some Classes of H-Free Bipartite Graphs. - Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath:
Opportunities in Machine Learning for Healthcare. - Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag:
Visualizing Patient Timelines in the Intensive Care Unit. - Zhixian Ma, Jie Zhu, Weitian Li, Haiguang Xu:
Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models. - Alice Mizrahi, Julie Grollier, Damien Querlioz, Mark D. Stiles:
Overcoming device unreliability with continuous learning in a population coding based computing system. - Alberto Gómez, Veronika A. Zimmer, Bishesh Khanal, Nicolas Toussaint, Julia A. Schnabel:
Oversegmenting Graphs. - Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi:
Global linear convergence of Newton's method without strong-convexity or Lipschitz gradients. - Georgios Paraskevopoulos, Efthymios Tzinis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Alexandros Potamianos:
Pattern Search Multidimensional Scaling. - Irénée Briquel, Peter Bürgisser:
The real tau-conjecture is true on average. - Aditya Vora:
A Classification approach towards Unsupervised Learning of Visual Representations. - Claudia Flores-Saviaga, Brian C. Keegan, Saiph Savage:
Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Community. - Hyunghoon Cho, Benjamin Demeo, Jian Peng, Bonnie Berger:
Large-Margin Classification in Hyperbolic Space. - Miguel Areias, Ricardo Rocha:
Table Space Designs For Implicit and Explicit Concurrent Tabled Evaluation. - Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do CIFAR-10 Classifiers Generalize to CIFAR-10? - Sadia Afroz, Mobin Javed, Vern Paxson, Shoaib Asif Qazi, Shaarif Sajid, Michael Carl Tschantz:
A Bestiary of Blocking: The Motivations and Modes behind Website Unavailability. - Aneeq Zia, Andrew Hung, Irfan A. Essa, Anthony M. Jarc:
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy using Deep Learning. - Suriya Gunasekar, Jason D. Lee, Daniel Soudry, Nathan Srebro:
Implicit Bias of Gradient Descent on Linear Convolutional Networks. - Wei-Ting Chang, Ravi Tandon:
On the Capacity of Secure Distributed Matrix Multiplication. - Weiqi Li, Zhiying Wang, Hamid Jafarkhani:
A Tradeoff between the Sub-Packetization Size and the Repair Bandwidth for Reed-Solomon Codes. - Aditya Ramesh, Yann LeCun:
Backpropagation for Implicit Spectral Densities. - Mohammad Akbari, Jie Liang:
Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation. - Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie:
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. - AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith:
Improving Dialogue Act Classification for Spontaneous Arabic Speech and Instant Messages at Utterance Level. - Kashyap Chitta:
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization. - Huda AlAmri, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Jue Wang, Irfan Essa, Dhruv Batra, Devi Parikh, Anoop Cherian, Tim K. Marks, Chiori Hori:
Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7. - Nima Mohajerin, Steven Lake Waslander:
Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks. - Giovanni Bacci, Giorgio Bacci, Kim G. Larsen, Radu Mardare:
On the Metric-based Approximate Minimization of Markov Chains. - Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard:
Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. - Kenny J. Young, Richard S. Sutton, Shuo Yang:
Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling. - Pierre Aboulker, Samuel Fiorini, Tony Huynh, Marco Macchia, Johanna Seif:
Extension Complexity of the Correlation Polytope. - Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu:
The Externalities of Exploration and How Data Diversity Helps Exploitation. - Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. - Beilun Wang, Arshdeep Sekhon, Yanjun Qi:
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. - Christopher Stanton, Jeff Clune:
Deep Curiosity Search: Intra-Life Exploration Improves Performance on Challenging Deep Reinforcement Learning Problems. - Yuichi Hanada, Luke Hsiao, Philip Alexander Levis:
Smart Contracts for Machine-to-Machine Communication: Possibilities and Limitations. - Shichao Yang, Sebastian A. Scherer:
CubeSLAM: Monocular 3D Object Detection and SLAM without Prior Models. - Benjamin Golub:
Introduction to Network Games with Linear Best Responses. - Yongbin Sun, Sai Nithin R. Kantareddy, Rahul Bhattacharyya, Sanjay E. Sarma:
X-Vision: An augmented vision tool with real-time sensing ability in tagged environments. - Jun Long, Lei Zhu, Chengyuan Zhang, Zhan Yang, Yunwu Lin, Ruipeng Chen:
Efficient Interactive Search for Geo-tagged Multimedia Data. - Yi-Chao Wu, Fei Yin, Xu-Yao Zhang, Li Liu, Cheng-Lin Liu:
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition. - Pinlong Zhao, Zhouyu Fu, Ou Wu, Qinghua Hu, Jun Wang:
Detecting Adversarial Examples via Key-based Network. - Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra:
Federated Learning with Non-IID Data. - Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao:
Monocular Depth Estimation with Augmented Ordinal Depth Relationships. - Xing Shi, Shizhen Xu, Kevin Knight:
Fast Locality Sensitive Hashing for Beam Search on GPU. - Yiming Zhang, Quan Ho Vuong, Kenny Song, Xiao-Yue Gong, Keith W. Ross:
Efficient Entropy for Policy Gradient with Multidimensional Action Space. - Jon Gauthier, Anna A. Ivanova:
Does the brain represent words? An evaluation of brain decoding studies of language understanding. - Ago-Erik Riet, Vitaly Skachek, Eldho K. Thomas:
Asynchronous Batch and PIR Codes from Hypergraphs. - Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen:
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation. - Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. - Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. - Fernando Martínez-Plumed, Shahar Avin, Miles Brundage, Allan Dafoe, Seán Ó hÉigeartaigh, José Hernández-Orallo:
Accounting for the Neglected Dimensions of AI Progress. - Caleb Pomeroy, Niheer Dasandi, Slava Jankin Mikhaylov:
Multiplex Communities and the Emergence of International Conflict. - Zhiyuan Tang, Dong Wang, Qing Chen:
AP18-OLR Challenge: Three Tasks and Their Baselines. - Jin Wu, Ming Liu, Zebo Zhou, Rui Li:
Simple Fast Vectorial Solution to The Rigid 3D Registration Problem. - Xi Chen, Zhi-Hong Deng, Gehui Shen, Ting Huang:
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units. - Daiki Kimura:
DAQN: Deep Auto-encoder and Q-Network. - Gaoyun An, Wen Zhou, Yuxuan Wu, ZhenXing Zheng, Yongwen Liu:
Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition. - Jiayang Tu, Peng Cheng, Lei Chen:
Quality-Assured Synchronized Task Assignment in Crowdsourcing. - Ishay Haviv:
On Minrank and Forbidden Subgraphs. - Ahmad Alzahrani, Samira Sadaoui:
Scraping and Preprocessing Commercial Auction Data for Fraud Classification. - Anoosheh Heidarzadeh, Fatemeh Kazemi, Alex Sprintson:
Capacity of Single-Server Single-Message Private Information Retrieval with Coded Side Information. - Ziru Chen, Zhao Chen, Lin X. Cai, Yu Cheng, Ruoting Gong:
A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks. - Pratik Patil, Binbin Dai, Wei Yu:
Hybrid Data-Sharing and Compression Strategy for Downlink Cloud Radio Access Network. - Armin Seyeditabari, Narges Tabari, Wlodek Zadrozny:
Emotion Detection in Text: a Review. - Loqman Salamatian, Dali Kaafar, Kavé Salamatian:
A Geometric Approach for Real-time Monitoring of Dynamic Large Scale Graphs: AS-level graphs illustrated. - Brian Goldfain, Paul Drews, Changxi You, Matthew Barulic, Orlin Velev, Panagiotis Tsiotras, James M. Rehg:
AutoRally An open platform for aggressive autonomous driving. - Anuj Kalia, Michael Kaminsky, David G. Andersen:
Datacenter RPCs can be General and Fast. - Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu:
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling. - Sai Krishna G. V., Kyle Goyette, Ahmad Chamseddine, Breandan Considine:
Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting. - Yunzhe Tao, Lin Ma, Weizhong Zhang, Jian Liu, Wei Liu, Qiang Du:
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction. - Dmitry V. Zakablukov:
Synthesis methods for reversible circuits consisting of NOT, CNOT and 2-CNOT gates (Ph.D. thesis). - Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig:
Stress Test Evaluation for Natural Language Inference. - Vahid Garousi, Sara Bauer, Michael Felderer:
NLP-assisted software testing: a systematic review. - Andres Karjus, Richard A. Blythe, Simon Kirby, Kenny Smith:
Quantifying the dynamics of topical fluctuations in language. - Jeremias Sulam, Aviad Aberdam, Michael Elad:
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. - Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu:
Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications. - Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu:
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. - Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu:
Dense Information Flow for Neural Machine Translation. - Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du:
Explainable Social Contextual Image Recommendation with Hierarchical Attention. - Luke Burks, Ian Loefgren, Luke Barbier, Jeremy Muesing, Jamison McGinley, Sousheel Vunnam, Nisar R. Ahmed:
Closed-loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search. - Mengyi Liu, Xiaohui Xie, Hanning Zhou:
Content-based Video Relevance Prediction Challenge: Data, Protocol, and Baseline. - Diana Gonzalez-Rico, Gibran Fuentes Pineda:
Contextualize, Show and Tell: A Neural Visual Storyteller. - Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Second-Order Asymptotically Optimal Statistical Classification. - Amarjot Singh, Devendra Patil, S. N. Omkar:
Eye in the Sky: Real-time Drone Surveillance System (DSS) for Violent Individuals Identification using ScatterNet Hybrid Deep Learning Network. - Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, Philip S. Yu:
TI-CNN: Convolutional Neural Networks for Fake News Detection. - Mohamed Grissa, Bechir Hamdaoui, Attila A. Yavuz:
Location Privacy in Cognitive Radio Networks: A Survey. - Pengcheng Yao:
An Efficient Graph Accelerator with Parallel Data Conflict Management. - Hwiyeol Jo, Jeong Ryu:
Psychological State in Text: A Limitation of Sentiment Analysis. - Mücahid Kutlu, Tyler McDonnell, Aashish Sheshadri, Tamer Elsayed, Matthew Lease:
Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably. - Yu Huang:
Efficient Time-Evolving Stream Processing at Scale. - Xianliang Li:
Scaling Up Large-Scale Graph Processing for GPU-Accelerated Heterogeneous Systems. - Luis M. Vaquero, Félix Cuadrado, Yehia Elkhatib, Jorge Bernal Bernabé, Satish Narayana Srirama, Mohamed Faten Zhani:
Research Challenges in Nextgen Service Orchestration. - Akash Singh, Vinay Rodrigues, Sai Hanisha, Madhava Krishna:
Novel Compliant omnicrawler-wheel transforming module. - Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein:
Dual-Primal Graph Convolutional Networks. - Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang:
Low Cost Edge Sensing for High Quality Demosaicking. - Jungseul Ok, Alexandre Proutière, Damianos Tranos:
Exploration in Structured Reinforcement Learning. - Xiaoyuan Wang:
Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. - Jin Zhao:
Efficient Two-Level Scheduling for Concurrent Graph Processing. - Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction. - Ye Chi:
Gemini: Reducing DRAM Cache Hit Latency by Hybrid Mappings. - Vladimir Ilievski:
Building Advanced Dialogue Managers for Goal-Oriented Dialogue Systems. - Satwik Patnaik, Johann Knechtel, Mohammed Ashraf, Ozgur Sinanoglu:
Concerted Wire Lifting: Enabling Secure and Cost-Effective Split Manufacturing. - Nicholas Tucci, Jacek Cala, Jannetta S. Steyn, Paolo Missier:
Design and evaluation of a genomics variant analysis pipeline using GATK Spark tools. - Satwik Patnaik, Nikhil Rangarajan, Johann Knechtel, Ozgur Sinanoglu, Shaloo Rakheja:
Advancing Hardware Security Using Polymorphic and Stochastic Spin-Hall Effect Devices. - Benjamin Hellouin de Menibus, Takeaki Uno:
Maximal Matching and Path Matching Counting in Polynomial Time for Graphs of Bounded Clique Width. - Alexander Herzog, Peter John, Slava Jankin Mikhaylov:
Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014. - Lyudmila Grigoryeva, Juan-Pablo Ortega:
Echo state networks are universal. - Daniel Maurer, Andrés Bruhn:
ProFlow: Learning to Predict Optical Flow. - Pu Jin, Gui-Song Xia, Fan Hu, Qikai Lu, Liangpei Zhang:
AID++: An Updated Version of AID on Scene Classification. - Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch:
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. - Yedid Hoshen, Lior Wolf:
NAM: Non-Adversarial Unsupervised Domain Mapping. - William Vega-Brown, Nicholas Roy:
Admissible Abstractions for Near-optimal Task and Motion Planning. - Eunju Cha, Eung-Yeop Kim, Jong Chul Ye:
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography. - Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
Learning Semantic Sentence Embeddings using Pair-wise Discriminator. - William M. Farmer:
A New Style of Mathematical Proof. - Benjamin M. Gorman:
A Framework for Speechreading Acquisition Tools. - Stelios Stefanatos, Mahdi Barzegar Khalilsarai, Gerhard Wunder:
Wideband Massive MIMO Channel Estimation via Sequential Atomic Norm Minimization. - Binay Bhattacharya, Yuya Higashikawa, Tsunehiko Kameda, Naoki Katoh:
Minmax Regret 1-Sink for Aggregate Evacuation Time on Path Networks. - Gerhard Wunder, Stelios Stefanatos, Axel Flinth, Ingo Roth, Giuseppe Caire:
Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO. - Robert Gorwa, Philip N. Howard:
Studying Politically Vulnerable Communities Online: Ethical Dilemmas, Questions, and Solutions. - Jonathan Marbaniang, Shekhar Bhandakkar, Sathya Peri:
Garbage Collection in Concurrent Sets. - Vinicius Pavanelli Vianna:
Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation. - Jean Maillard, Stephen Clark:
Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing. - Michael Bar-Sinai, Gera Weiss, Reut Shmuel:
BPjs - a framework for modeling reactive systems using a scripting language and BP. - Vladimir I. Iglovikov, Selim S. Seferbekov, Alexander V. Buslaev, Alexey Shvets:
TernausNetV2: Fully Convolutional Network for Instance Segmentation. - Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard:
Learning Graphs from Data: A Signal Representation Perspective. - Zhe Li, Xuehan Xiong, Zhou Ren, Ning Zhang, Xiaoyu Wang, Tianbao Yang:
An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints. - Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin:
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. - Gabriel Grand, Aron Szanto:
On the Flip Side: Identifying Counterexamples in Visual Question Answering. - Somshubra Majumdar, Amlaan Bhoi, Ganesh Jagadeesan:
A Comprehensive Comparison between Neural Style Transfer and Universal Style Transfer. - Mat Kelly, Michael L. Nelson, Michele C. Weigle:
A Framework for Aggregating Private and Public Web Archives. - Chieh-Chi Kao, Yu-Xiang Wang, Jonathan Waltman, Pradeep Sen:
Patch-Based Image Hallucination for Super Resolution with Detail Reconstruction from Similar Sample Images. - Mahdi Nazemi, Massoud Pedram:
Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications. - Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. - Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal:
Disconnected Manifold Learning for Generative Adversarial Networks. - Noam Segev, Noam Avigdor, Eytan Avigdor:
Measuring Influence on Instagram: a Network-oblivious Approach. - Mohammad Ali Javidian, Marco Valtorta:
Structural Learning of Multivariate Regression Chain Graphs via Decomposition. - Ehab Ababneh, Zaid Al-Ali, Sangtae Ha, Richard Han, Eric Keller:
Elasticizing Linux via Joint Disaggregation of Memory and Computation. - Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steven M. Seitz:
Soccer on Your Tabletop. - Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon:
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. - Fan Hu, Gui-Song Xia, Wen Yang, Liangpei Zhang:
Recent advances and opportunities in scene classification of aerial images with deep models. - Simon S. Du, Wei Hu, Jason D. Lee:
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced. - Xin-Yi Tong, Qikai Lu, Gui-Song Xia, Liangpei Zhang:
Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery. - Anastasia Sergeeva, Bogdan Kirillov, Alyona Dzhumagulova:
Neural Network-based exploration of construct validity for Russian version of the 10-item Big Five Inventory. - Beibei Si:
A Structure-aware Approach for Efficient Graph Processing. - Jin Huang, Gui-Song Xia, Fan Hu, Liangpei Zhang:
Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency. - Abeed Sarker, Graciela Gonzalez-Hernandez:
An unsupervised and customizable misspelling generator for mining noisy health-related text sources. - Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. - Jacob Goldberger, Oren Melamud:
Self-Normalization Properties of Language Modeling. - Manoj Reddy Dareddy, Ariyam Das, Junghoo Cho, Carlo Zaniolo:
How Much Are You Willing to Share? A "Poker-Styled" Selective Privacy Preserving Framework for Recommender Systems. - Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui:
Preserving the Location Privacy of Secondary Users in Cooperative Spectrum Sensing. - Roger Paredes, Leonardo Dueñas-Osorio, Kuldeep S. Meel, Moshe Y. Vardi:
Network Reliability Estimation in Theory and Practice. - Chih-Chieh Shao, Trois Liu, Yuting Lai, Yiying Tseng, Sam Tsai:
DRCD: a Chinese Machine Reading Comprehension Dataset. - Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi:
Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data. - Nim Dvir, Ruti Gafni:
How Content Volume on Landing Pages Influences Consumer Behavior. - Fenfen Sheng, Zhineng Chen, Bo Xu:
NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition. - Younggun Lee, Taesu Kim, Soo-Young Lee:
Voice Imitating Text-to-Speech Neural Networks. - Xueyuan Han, Thomas F. J.-M. Pasquier, Margo I. Seltzer:
Provenance-based Intrusion Detection: Opportunities and Challenges. - Yunhao Sun, Ruchen Duan, Yingbin Liang, Shlomo Shamai:
State-Dependent Interference Channel with Correlated States. - Evan Hernandez, Ara Vartanian, Xiaojin Zhu:
Program Synthesis from Visual Specification. - Qian Yu, Netanel Raviv, Jinhyun So, Amir Salman Avestimehr:
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy. - Balakumar Sundaralingam, Tucker Hermans:
Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation. - Noga Alon, Roi Livni, Maryanthe Malliaris, Shay Moran:
Private PAC learning implies finite Littlestone dimension. - Xinxin Fan:
Faster Dual-Key Stealth Address for Blockchain-Based Internet of Things Systems. - Navid Azizan Ruhi, Babak Hassibi:
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization. - Omer Ben-Porat, Moshe Tennenholtz:
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. - Abdullah Ates, Jie Yuan, Sina Dehghan, Yang Zhao, Celaleddin Yeroglu, YangQuan Chen:
PID2018 Benchmark Challenge: Multi-Objective Stochastic Optimization Algorithm. - Haris Aziz, Hau Chan, Barton E. Lee, David C. Parkes:
Mechanism Design without Money for Common Goods. - Magauiya Zhussip, Se Young Chun:
Simultaneous compressive image recovery and deep denoiser learning from undersampled measurements. - Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz:
Segmentation, Incentives and Privacy. - Shuhei Kurita, Daisuke Kawahara, Sadao Kurohashi:
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis. - Binghui Chen, Weihong Deng:
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating. - Jérémy Berthomieu, Jean-Charles Faugère:
In-depth comparison of the Berlekamp-Massey-Sakata and the Scalar-FGLM algorithms: the adaptive variants. - Patricio Cerda, Gaël Varoquaux, Balázs Kégl:
Similarity encoding for learning with dirty categorical variables. - Tobias Schrank, Franz Pernkopf:
Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering. - Md. Shah Fahad, Jainath Yadav, Gyadhar Pradhan, Akshay Deepak:
DNN-HMM based Speaker Adaptive Emotion Recognition using Proposed Epoch and MFCC Features. - Alireza Alizadeh, Mai Vu:
User Association in Millimeter Wave MIMO Networks. - Alireza Alizadeh, Mai Vu:
Time-Fractional User Association in Millimeter Wave MIMO Networks. - Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
Distributed Learning from Interactions in Social Networks. - Hendrik Vogt, Gerald Enzner, Aydin Sezgin:
State-Space Adaptive Nonlinear Self-Interference Cancellation for Full-Duplex Communication. - Johannes Jendersie:
Path Throughput Importance Weights. - Sung Whan Yoon, Jun Seo, Jaekyun Moon:
Meta Learner with Linear Nulling. - Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic data generation for end-to-end thermal infrared tracking. - Naima Chouikhi, Boudour Ammar, Adel M. Alimi:
Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations. - Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image. - Kilian Verhetsel, Jeanne Pellerin, Jean-François Remacle:
A 66-element mesh of Schneiders' pyramid: bounding the difficulty of hex-meshing problems. - Hongwei Li, Kanru Lin, Maximilian Reichert, Lina Xu, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern Holger Menze, Kuangyu Shi:
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. - Marios Kountouris, Apostolos Avranas:
Delay Performance of Multi-Antenna Multicasting in Wireless Networks. - Francisco Crespo Estefanía Martín:
Applications for mobile devices focused on support for autism spectrum disorder population and / or people in their immediate environment in their daily lives: a systematic and practical review from a Spanish - speaking perspective. - Luc Edixhoven, Walter A. Kosters:
Player preferences in N-player games. - Jasper De Bock, Gert de Cooman:
A Desirability-Based Axiomatisation for Coherent Choice Functions. - Tobias Hecking, Loet Leydesdorff:
Topic Modelling of Empirical Text Corpora: Validity, Reliability, and Reproducibility in Comparison to Semantic Maps. - Alexios Balatsoukas-Stimming, Aris Filos-Ratsikas:
On the computational complexity of blind detection of binary linear codes. - Jindong Jiang, Lunan Zheng, Fei Luo, Zhijun Zhang:
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation. - Zhitao Guan, Guanlin Si, Xiaosong Zhang, Longfei Wu, Nadra Guizani, Xiaojiang Du, Yinglong Ma:
Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities. - Preethi Lahoti, Gerhard Weikum, Krishna P. Gummadi:
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making. - Komei Sugiura:
SuMo-SS: Submodular Optimization Sensor Scattering for Deploying Sensor Networks by Drones. - Benjamín Gutiérrez-Becker, Christian Wachinger:
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy. - Lorenzo Nespoli, Matteo Salani, Vasco Medici:
A rational decentralized generalized Nash equilibrium seeking for energy markets. - Florian Thams, Andreas Venzke, Robert Eriksson, Spyros Chatzivasileiadis:
Efficient Database Generation for Data-driven Security Assessment of Power Systems. - Nattachai Watcharapinchai, Sitapa Rujikietgumjorn, Sanparith Marukatat:
Sloth Search System at the Video Browser Showdown 2018 - Final Notes. - Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel:
A Highly Parallel FPGA Implementation of Sparse Neural Network Training. - Udo Schilcher, Jorge F. Schmidt, Mahin K. Atiq, Christian Bettstetter:
Auto-Correlation and Coherence Time of Interference in Poisson Networks. - Jérémy Anger, Mauricio Delbracio, Gabriele Facciolo:
Modeling Realistic Degradations in Non-blind Deconvolution. - Raphael Polig, Kubilay Atasu, Laura Chiticariu, Christoph Hagleitner, H. Peter Hofstee, Frederick R. Reiss, Eva Sitaridi, Huaiyu Zhu:
Giving Text Analytics a Boost. - Dhanasekar, Anirudh Seshadri, Sudharshan Srinivasan, Suryanarayanan, Akash Sridhar:
Consolidating the innovative concepts towards Exascale computing for Co-Design of Co-Applications ll: Co-Design Automation - Workload Characterization. - Philippos Papaphilippou:
Performance tuning for deep learning on a many-core processor (master thesis). - Antonio Rios-Navarro, Ricardo Tapiador-Morales, Angel Jiménez-Fernandez, Manuel Domínguez-Morales, Claudio Amaya, Alejandro Linares-Barranco:
Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator. - Amir Yazdanbakhsh, Hajar Falahati, Philip J. Wolfe, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh:
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks. - Ellis Giles, Kshitij A. Doshi, Peter J. Varman:
Hardware Transactional Persistent Memory. - Fuyuan Xiao, Masayoshi Aritsugi:
An adaptive parallel processing strategy in complex event processing systems over data streams. - Nikolay Malitsky, Ralph Castain, Matt Cowan:
Spark-MPI: Approaching the Fifth Paradigm of Cognitive Applications. - László Csató:
A fairer penalty shootout design in soccer. - Dan Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon:
Machine Learning for Predictive Analytics of Compute Cluster Jobs. - Navjot Kukreja, Jan Hückelheim, Gerard J. Gorman:
Backpropagation for long sequences: beyond memory constraints with constant overheads. - Riccardo Dondi, Giancarlo Mauri, Florian Sikora, Italo Zoppis:
Covering with Clubs: Complexity and Approximability. - Clemens Frahnow, Timo Kötzing:
Ring Migration Topology Helps Bypassing Local Optima. - Julian Zubek, Ludmila Kuncheva:
Learning from Exemplars and Prototypes in Machine Learning and Psychology. - Peter Gracar, Alexandre Stauffer:
Percolation of Lipschitz surface and tight bounds on the spread of information among mobile agents. - Petar Tsankov, Andrei Marian Dan, Dana Drachsler-Cohen, Arthur Gervais, Florian Buenzli, Martin T. Vechev:
Securify: Practical Security Analysis of Smart Contracts. - Deepak Baby, Sarah Verhulst:
Machines hear better when they have ears. - Janis Danisevskis, Michael Peter, Jan Nordholz:
Minimizing Event-Handling Latencies in Secure Virtual Machines. - Ivan Bravi, Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Shallow decision-making analysis in General Video Game Playing. - Victor Le Pochat, Tom van Goethem, Wouter Joosen:
Rigging Research Results by Manipulating Top Websites Rankings. - Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure and Efficient Skyline Queries on Encrypted Data. - Keisuke Sakaguchi, Benjamin Van Durme:
Efficient Online Scalar Annotation with Bounded Support. - Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. - Kyungyun Lee, Keunwoo Choi, Juhan Nam:
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook. - Fabio Vitale, Nikos Parotsidis, Claudio Gentile:
Online Reciprocal Recommendation with Theoretical Performance Guarantees. - Hui Zhou, Wanli Ouyang, Jian Cheng, Xiaogang Wang, Hongsheng Li:
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking. - Thomas Lansdall-Welfare, Nello Cristianini:
History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora. - Victoria Krakovna, Laurent Orseau, Miljan Martic, Shane Legg:
Measuring and avoiding side effects using relative reachability. - Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Face Synthesis for Eyeglass-Robust Face Recognition. - Filipo Sharevski, Adam Trowbridge, Jessica Westbrook:
Novel Approach for Cybersecurity Workforce Development: A Course in Secure Design. - Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia:
Relational inductive bias for physical construction in humans and machines. - Pallavi Paliwal, Debasattam Pal, Shalabh Gupta:
Stability Analysis for Fast Settling Switched DPLL. - Ittai Abraham, Danny Dolev, Ivan Geffner, Joseph Y. Halpern:
Implementing Mediators with Asynchronous Cheap Talk. - Chengsheng Mao, Alal Eran, Yuan Luo:
Efficient Genomic Interval Queries Using Augmented Range Trees. - Nils Müller, Tobias Glasmachers:
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies. - Barbara Gris, Chong Chen, Ozan Öktem:
Image reconstruction through metamorphosis. - Jérémy Barbay:
Adaptive Computation of the Discrete Fréchet Distance. - Emmanouil Antonios Platanios, Alex Smola:
Deep Graphs. - Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia:
Graph networks as learnable physics engines for inference and control. - Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes:
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. - Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang:
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. - Yi-Peng Wei, Sennur Ulukus:
The Capacity of Private Information Retrieval with Private Side Information Under Storage Constraints. - Emmanouil Antonios Platanios:
Agreement-based Learning. - Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman:
Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation. - Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow:
Digging Into Self-Supervised Monocular Depth Estimation. - Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu:
Relational inductive biases, deep learning, and graph networks. - Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. - Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman:
Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning. - Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta:
Internal Model from Observations for Reward Shaping. - Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff:
Alchemist: An Apache Spark MPI Interface. - Armin Eftekhari, Raphael A. Hauser, Andreas Grammenos:
MOSES: A Streaming Algorithm for Linear Dimensionality Reduction. - Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. - Hyang-Won Lee, Jianan Zhang, Eytan H. Modiano:
Data-driven Localization and Estimation of Disturbance in the Interconnected Power System. - Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun:
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. - Tim Taylor, Alan Dorin:
Past Visions of Artificial Futures: One Hundred and Fifty Years under the Spectre of Evolving Machines. - Sunipa Dev, Safia Hassan, Jeff M. Phillips:
Absolute Orientation for Word Embedding Alignment. - Denis Antipov, Benjamin Doerr:
Precise Runtime Analysis for Plateaus. - Debarpita Santra, Sankhayan Choudhury:
C-BPMN: A Context Aware BPMN for Modeling Complex Business Process. - Dominique Beaini, Sofiane Achiche, Fabrice Nonez, Maxime Raison:
Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications. - Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat:
Asymmetry Helps: Improved Private Information Retrieval Protocols for Distributed Storage. - Marcos Netto, Yoshihiko Susuki, Lamine Mili:
Data-Driven Participation Factors for Nonlinear Systems Based on Koopman Mode Decomposition. - Josiah Hanna, Scott Niekum, Peter Stone:
Importance Sampling Policy Evaluation with an Estimated Behavior Policy. - Daniel Reichman, Leslie M. Collins, Jordan M. Malof:
gprHOG: Several Simple Improvements to the Histogram of Oriented Gradients Feature for Threat Detection in Ground-Penetrating Radar. - Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher J. Butler, Mukesh K. Mohania:
Document Chunking and Learning Objective Generation for Instruction Design. - Mostafa Kishani, Hossein Asadi:
Modeling Impact of Human Errors on the Data Unavailability and Data Loss of Storage Systems. - Scott Lee:
Natural Language Generation for Electronic Health Records. - Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi:
Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images. - Mostafa Kishani, Reza Eftekhari, Hossein Asadi:
Evaluating Impact of Human Errors on the Availability of Data Storage Systems. - Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux:
Playing Atari with Six Neurons. - Hugo Villamizar, Marcos Kalinowski, Marx L. Viana, Daniel Méndez Fernández:
A Systematic Mapping Study on Security in Agile Requirements Engineering. - Vahid Behzadan, Arslan Munir:
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles. - Sathish Gopalakrishnan:
Improving rewards in overloaded real-time systems. - Jian Ren, Jianchao Yang, Ning Xu, David J. Foran:
Factorized Adversarial Networks for Unsupervised Domain Adaptation. - Maximilian Haas-Heger, Christos H. Papadimitriou, Mihalis Yannakakis, Garud Iyengar, Matei T. Ciocarlie:
Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis. - Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics. - Christian Guckelsberger, Christoph Salge, Julian Togelius:
New And Surprising Ways to Be Mean. Adversarial NPCs with Coupled Empowerment Minimisation. - Chien-Ying Chen, Monowar Hasan, AmirEmad Ghassami, Sibin Mohan, Negar Kiyavash:
REORDER: Securing Dynamic-Priority Real-Time Systems Using Schedule Obfuscation. - Saptarshi Sengupta, Richard Alan Peters II:
Learning to track on-the-fly using a particle filter with annealed- weighted QPSO modeled after a singular Dirac delta potential. - Cristina Kadar, Irena Pletikosa:
Mining large-scale human mobility data for long-term crime prediction. - Aleksandar Prokopec, Fengyun Liu:
On the Soundness of Coroutines with Snapshots. - Xingyu Liu, Charles Ruizhongtai Qi, Leonidas J. Guibas:
Learning Scene Flow in 3D Point Clouds. - Fausto Milletari, Nicola Rieke, Maximilian Baust, Marco Esposito, Nassir Navab:
CFCM: Segmentation via Coarse to Fine Context Memory. - Romeo Ortega, Nima Monshizadeh, Pooya Monshizadeh, Dmitry Bazylev, Anton A. Pyrkin:
Permanent Magnet Synchronous Motors are Globally Asymptotically Stabilizable with PI Current Control. - Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma:
BindsNET: A machine learning-oriented spiking neural networks library in Python. - Aykut Özgün Önol, Philip Long, Taskin Padir:
A Comparative Analysis of Contact Models in Trajectory Optimization for Manipulation. - Zhibing Zhao, Lirong Xia:
Composite Marginal Likelihood Methods for Random Utility Models. - Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia:
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. - Yoji Yamato, Tatsuya Demizu, Hirofumi Noguchi, Misao Kataoka:
Study of Automatic GPU Offloading Technology for Open IoT. - Ali Dehghan, Amir H. Banihashemi:
On Computing the Multiplicity of Short Cycles in Bipartite Graphs Using the Degree Distribution and the Spectrum of the Graph. - Cenk Gündogan, Peter Kietzmann, Martine Lenders, Hauke Petersen, Thomas C. Schmidt, Matthias Wählisch:
NDN, CoAP, and MQTT: A Comparative Measurement Study in the IoT. - William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Querying Complex Networks in Vector Space. - Santiago Viertel, André Luís Vignatti:
Labeling Algorithm and Compact Routing Scheme for a Small World Network Model. - Chirag Agarwal, Bo Dong, Dan Schonfeld, Anthony Hoogs:
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks. - Ayush Bhandari, Yonina C. Eldar:
Sampling and Super-resolution of Sparse Signals Beyond the Fourier Domain. - Bassem Khalfi, Bechir Hamdaoui, Mohsen Guizani, Nizar Zorba:
Exploiting wideband spectrum occupancy heterogeneity for weighted compressive spectrum sensing. - Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Silvio Savarese:
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. - Hongru Liang, Haozheng Wang, Jun Wang, Shaodi You, Zhe Sun, Jin-Mao Wei, Zhenglu Yang:
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features. - Aiden Nibali, Zhen He, Stuart Morgan, Luke A. Prendergast:
3D Human Pose Estimation with 2D Marginal Heatmaps. - Finnian Lattimore, Cheng Soon Ong:
A Primer on Causal Analysis. - Yifan Wu, Larry Xu, Remco Chang, Joseph M. Hellerstein, Eugene Wu:
Making Sense of Asynchrony in Interactive Data Visualizations. - Jingjing Gong, Xipeng Qiu, Shaojing Wang, Xuanjing Huang:
Information Aggregation via Dynamic Routing for Sequence Encoding. - Yen Yu, Acer Y. C. Chang, Ryota Kanai:
Boredom-driven curious learning by Homeo-Heterostatic Value Gradients. - Rushabh Jitendrakumar Shah:
Graph Compression Using Pattern Matching Techniques. - Yuanyuan Zhang, Jun Du, Zi-Rui Wang, Jianshu Zhang:
Attention Based Fully Convolutional Network for Speech Emotion Recognition. - Tobias Kuhn:
Using the AIDA Language to Formally Organize Scientific Claims. - Shuoyang Ding, Kevin Duh:
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation? - Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan, Bagas Abisena, Valdi Rachman, Alfan Farizki Wicaksono, Rahmad Mahendra:
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus. - Hang Liu, Hengyu Li, Jun Luo, Shaorong Xie, Yu Sun:
Construction of all-in-focus images assisted by depth sensing. - Piek Vossen, Selene Baez, Lenka Bajcetic, Bram Kraaijeveld:
Leolani: a reference machine with a theory of mind for social communication. - Dmytro Perekrestenko, Philipp Grohs, Dennis Elbrächter, Helmut Bölcskei:
The universal approximation power of finite-width deep ReLU networks. - Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez:
Deep Mixture of Experts via Shallow Embedding. - Elena Codreanu, Christine Michel, Marc-Eric Bobillier-Chaumon, Olivier Vigneau:
L'acceptation et l'appropriation des ENT (Espaces Num{é}riques de Travail) par les enseignants du primaire. - Valdigleis S. Costa, Antonio Diego Silva Farias, Benjamín R. C. Bedregal, Regivan H. N. Santiago, Anne Magály de Paula Canuto:
Combining Multiple Algorithms in Classifier Ensembles using Generalized Mixture Functions. - Alexandre Decan, Tom Mens, Eleni Constantinou:
On the evolution of technical lag in the npm package dependency network. - Ankita Shukla, Gullal Singh Cheema, Saket Anand:
ClusterNet : Semi-Supervised Clustering using Neural Networks. - Sovann En, Alexis Lechervy, Frédéric Jurie:
TS-Net: Combining modality specific and common features for multimodal patch matching. - Aybüke Öztürk, Stéphane Lallich, Jérôme Darmont:
A Visual Quality Index for Fuzzy C-Means. - Haomiao Wang, Thiagaraj Prabu, Oliver Sinnen:
Combining Multiple Optimised FPGA-based Pulsar Search Modules Using OpenCL. - Fuyuan Xiao:
Multi-sensor data fusion based on a generalised belief divergence measure. - Pengpeng Yang, Rongrong Ni, Yao Zhao:
Double JPEG Compression Detection by Exploring the Correlations in DCT Domain. - Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel:
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network. - Marek Sikora, Lukasz Wróbel, Adam Gudys:
GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settings. - Pavan Sangha, Prudence W. H. Wong, Michele Zito:
Dynamic Programming Optimization in Line of Sight Networks. - Thomas G. Dietterich, George Trimponias, Zhitang Chen:
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. - Paolo Torroni, Zeynep Kiziltan, Eugenio Faldella:
Blocking time under basic priority inheritance: Polynomial bound and exact computation. - Bo Yang Hsueh, Wei Li, I-Chen Wu:
Stochastic Gradient Descent with Hyperbolic-Tangent Decay. - Minseok Choi, Joongheon Kim, Jaekyun Moon:
Wireless Video Caching and Dynamic Streaming under Differentiated Quality Requirements. - Krittika D'Silva, Anastasios Noulas, Mirco Musolesi, Cecilia Mascolo, Max Sklar:
Predicting the temporal activity patterns of new venues. - Akshita Bhandari, Chandramani Singh:
Accelerated Randomized Coordinate Descent Methods for Stochastic Optimization and Online Learning. - Nima N. Moghadam, Gábor Fodor, Mats Bengtsson, David J. Love:
On the Energy Efficiency of MIMO Hybrid Beamforming for Millimeter Wave Systems with Nonlinear Power Amplifiers. - Simon Carbonnelle, Christophe De Vleeschouwer:
On layer-level control of DNN training and its impact on generalization. - Robin Tibor Schirrmeister, Patryk Chrabaszcz, Frank Hutter, Tonio Ball:
Generative Reversible Networks. - Kiril Dichev, Kirk W. Cameron, Dimitrios S. Nikolopoulos:
Energy-efficient localised rollback after failures via data flow analysis. - Erik Holmer, Andreas Marfurt:
Explaining Away Syntactic Structure in Semantic Document Representations. - Cong Hoang Quach, Van Lien Tran, Duy Hung Nguyen, Viet Thang Nguyen, Minh-Trien Pham, Manh Duong Phung:
Real-time Lane Marker Detection Using Template Matching with RGB-D Camera. - Van Truong Hoang, Manh Duong Phung, Quang Phuc Ha:
Adaptive twisting sliding mode control for quadrotor unmanned aerial vehicles. - Alexis Linard:
Learning Several Languages from Labeled Strings: State Merging and Evolutionary Approaches. - Xin-She Yang, Suash Deb:
Cuckoo Search: State-of-the-Art and Opportunities. - Xin-She Yang, Xingshi He:
Why the Firefly Algorithm Works? - Oliver Gasser, Quirin Scheitle, Pawel Foremski, Qasim Lone, Maciej Korczynski, Stephen D. Strowes, Luuk Hendriks, Georg Carle:
Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists. - Daniel Gebremedhin, Charles A. Weatherford:
Numerical Integration as an Initial Value Problem. - Dizuo Jiang, Tasnim Ibn Faiz, Md Mahmudul Hassan, Md. Noor-E-Alam:
A Possibility Distribution Based Multi-Criteria Decision Algorithm for Resilient Supplier Selection Problems. - Mofreh R. Zaghloul:
A FORTRAN Package for Efficient Multi-Accuracy Computations of the Faddeyeva Function and Related Functions of Complex Arguments. - Alifah Syamsiyah, Boudewijn F. van Dongen, Remco M. Dijkman:
Native Directly Follows Operator. - Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao:
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization. - Anna Sinelnikova:
RG Smoothing Algorithm Which Makes Data Compression. - Thomas Bonald, Bertrand Charpentier, Alexis Galland, Alexandre Hollocou:
Hierarchical Graph Clustering using Node Pair Sampling. - Rong Gong, Xavier Serra:
Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions. - Johan M. M. van Rooij, Hans L. Bodlaender, Erik Jan van Leeuwen, Peter Rossmanith, Martin Vatshelle:
Fast Dynamic Programming on Graph Decompositions. - Damian Lesniak, Igor Sieradzki, Igor T. Podolak:
On Latent Distributions Without Finite Mean in Generative Models. - Mohammad Reza Loghmani, Mirco Planamente, Barbara Caputo, Markus Vincze:
Recurrent Convolutional Fusion for RGB-D Object Recognition. - Stepan Tulyakov, Anton Ivanov, François Fleuret:
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching. - Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson:
A Projection Method for Metric-Constrained Optimization. - Apoorva S. Shastri, Anand J. Kulkarni:
Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology. - Kamel Abdelouahab, Maxime Pelcat, Jocelyn Sérot, François Berry:
Accelerating CNN inference on FPGAs: A Survey. - Chao-Hong Liu, Declan Groves, Hayakawa Akira, Alberto Poncelas, Qun Liu:
Understanding Meanings in Multilingual Customer Feedback. - Omer Ben-Porat, Moshe Tennenholtz:
Competing Prediction Algorithms. - Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin:
Human-like generalization in a machine through predicate learning. - Per Kristian Lehre, Phan Trung Hai Nguyen:
Level-Based Analysis of the Population-Based Incremental Learning Algorithm. - Jianzhong Sheng, Chuanbo Chen, Chenchen Fu, Chun Jason Xue:
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing. - Robyn Speer, Joanna Lowry-Duda:
Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge. - M. Omar Al-Kadri, Adnan Aijaz, Arumugam Nallanathan:
X-FDR: A Cross-Layer Routing Protocol for Multi-hop Full-Duplex Wireless Networks. - Alexander LeClair, Zachary Eberhart, Collin McMillan:
Adapting Neural Text Classification for Improved Software Categorization. - Daniel T. Chang:
Concept-Oriented Deep Learning. - Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski:
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds. - Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert:
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. - Murat Sensoy, Melih Kandemir, Lance M. Kaplan:
Evidential Deep Learning to Quantify Classification Uncertainty. - Chetan Naik, Arpit Gupta, Hancheng Ge, Lambert Mathias, Ruhi Sarikaya:
Contextual Slot Carryover for Disparate Schemas. - Fuqiang Liu, Chenchen Liu:
A Memristor based Unsupervised Neuromorphic System Towards Fast and Energy-Efficient GAN. - Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess, Razvan Pascanu:
Mix&Match - Agent Curricula for Reinforcement Learning. - Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh:
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. - Maciej Besta, Torsten Hoefler:
Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations. - Abbas Khalili, Stefano Rini, Luca Barletta, Elza Erkip, Yonina C. Eldar:
On MIMO Channel Capacity with Output Quantization Constraints. - Travis Gagie, Meng He, Gonzalo Navarro:
Tree Path Majority Data Structures. - Xiaolong Wang, Abhinav Gupta:
Videos as Space-Time Region Graphs. - Chien-Ying Chen, Sibin Mohan, Rakesh B. Bobba, Rodolfo Pellizzoni, Negar Kiyavash:
ScheduLeak: A Novel Scheduler Side-Channel Attack Against Real-Time Autonomous Control Systems. - Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Perturbative Neural Networks. - Stefan Braun:
LSTM Benchmarks for Deep Learning Frameworks. - Adam Santoro, Ryan Faulkner, David Raposo, Jack W. Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy P. Lillicrap:
Relational recurrent neural networks. - G. Zacharias Holland, Erik Talvitie, Michael Bowling:
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces. - Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia:
Relational Deep Reinforcement Learning. - Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak:
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification. - Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov:
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex. - Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann:
Focal Visual-Text Attention for Visual Question Answering. - Tim Taylor:
Routes to Open-Endedness in Evolutionary Systems. - Garegin Grigoryan, Yaoqing Liu, Laurent Njilla, Charles A. Kamhoua, Kevin A. Kwiat:
Enabling Cooperative IoT Security via Software Defined Networks (SDN). - Hongjiang Lei, Zhijun Dai, Ki-Hong Park, Weijia Lei, Gaofeng Pan, Mohamed-Slim Alouini:
Secrecy Outage Analysis of Mixed RF-FSO Downlink SWIPT Systems. - Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images. - Michail Fasoulakis, Eirini-Eleni Tsiropoulou, Symeon Papavassiliou:
A New Theoretical Evaluation Framework for Satisfaction Equilibria in Wireless Networks. - Dalton Cézane Gomes Valadares, Matteus Sthefano Leite da Silva, Andrey Elísio Monteiro Brito, Ewerton Monteiro Salvador:
Achieving Data Dissemination with Security using FIWARE and Intel Software Guard Extensions (SGX). - Ahmed Kedir Mohammed, Sule Yildirim, Ivar Farup, Marius Pedersen, Øistein Hovde:
Y-Net: A deep Convolutional Neural Network for Polyp Detection. - Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani:
Probabilistic Deep Learning using Random Sum-Product Networks. - Rakshith Shetty, Mario Fritz, Bernt Schiele:
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. - Quinten Stokkink, Johan Pouwelse:
Deployment of a Blockchain-Based Self-Sovereign Identity. - Andy Hess:
Exploring Feature Reuse in DenseNet Architectures. - Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran:
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching. - Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette:
Learning to Follow Language Instructions with Adversarial Reward Induction. - A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, Roselyne B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan:
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. - Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu:
Mining for meaning: from vision to language through multiple networks consensus. - Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir M. Rajpoot:
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. - Clark Zhang, Jinwook Huh, Daniel D. Lee:
Learning Implicit Sampling Distributions for Motion Planning. - Michal Derezinski, Manfred K. Warmuth:
Reverse iterative volume sampling for linear regression. - Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. - Sina Dehghan, Tiebiao Zhao, Yang Zhao, Jie Yuan, Abdullah Ates, YangQuan Chen:
PID2018 Benchmark Challenge: Model Predictive Control With Conditional Integral Control Using A General Purpose Optimal Control Problem Solver - RIOTS. - Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang:
Normalized Cut with Adaptive Similarity and Spatial Regularization. - Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Learning to rank for censored survival data. - Mohammadreza Javanmardi, Xiaojun Qi:
Robust Structured Multi-task Multi-view Sparse Tracking. - Panagiotis Papadopoulos, Panagiotis Ilia, Evangelos P. Markatos:
Truth in Web Mining: Measuring the Profitability and Cost of Cryptominers as a Web Monetization Model. - Tai-Ching Li, Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos:
TrollSpot: Detecting misbehavior in commenting platforms. - Moin Nadeem, Vibhor Nigam, Dimosthenis Anagnostopoulos, Patrick Carretas:
Automating Network Error Detection using Long-Short Term Memory Networks. - Abhejit Rajagopal, Shivkumar Chandrasekaran, Hrushikesh Narhar Mhaskar:
Deep Algorithms: designs for networks. - Udi Wieder:
Another Proof of Cuckoo hashing with New Variants. - Nitin Jonathan Myers, Amine Mezghani, Robert W. Heath Jr.:
Swift-Link: A compressive beam alignment algorithm for practical mmWave radios. - Zijian Bao, Wenbo Shi, Debiao He, Kim-Kwang Raymond Choo:
IoTChain: A Three-Tier Blockchain-based IoT Security Architecture. - Jiliang Zhang, Lu Wan:
CMOS: Dynamic Multi-key Obfuscation Structure for Strong PUFs. - Uday Singh Saini, Evangelos E. Papalexakis:
A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens. - Moslem Forouzesh, Paeiz Azmi, Nader Mokari, Kai-Kit Wong:
Robust Physical Layer Security for Power Domain Non-orthogonal Multiple Access-Based HetNets and HUDNs, SIC Avoidance at Eavesdroppers. - Atefeh Gilani, Selma Belhadj Amor, Sadaf Salehkalaibar, Vincent Y. F. Tan:
Distributed Hypothesis Testing with Privacy Constraints. - Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, Chu-Song Chen:
Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications. - Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell:
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. - Vinayak Ramkumar, Myna Vajha, P. Vijay Kumar:
Determining the Generalized Hamming Weight Hierarchy of the Binary Projective Reed-Muller Code. - Amanda Bienz, William D. Gropp, Luke N. Olson:
Improving Performance Models for Irregular Point-to-Point Communication. - Moazzem Hossain, Soichi Nishio, Takafumi Hiranaka, Syoji Kobashi:
Real-time Surgical Tools Recognition in Total Knee Arthroplasty Using Deep Neural Networks. - Kathrin Grosse, Michael T. Smith, Michael Backes:
Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification. - Mikolaj Bojanczyk, Filippo Cavallari, Thomas Place, Michal Skrzypczak:
Regular tree languages in low levels of Wadge Hierarchy. - Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Vijay Varadharajan, Kallol Krishna Karmakar, Udaya Kiran Tupakula, Michael Hitchens:
A Policy based Security Architecture for Software Defined Networks. - Hazem Sallouha, Mohammad Mahdi Azari, Sofie Pollin:
Energy-Constrained UAV Trajectory Design for Ground Node Localization. - Farhan Khawar, Nevin L. Zhang:
Learning Hierarchical Item Categories from Implicit Feedback Data for Efficient Recommendations and Browsing. - Hossein Shafagh, Lukas Burkhalter, Simon Duquennoy, Anwar Hithnawi, Sylvia Ratnasamy:
Droplet: Decentralized Authorization for IoT Data Streams. - Anastasiya Gorodilova, Sergey Agievich, Claude Carlet, Evgeny Gorkunov, Valeriya Idrisova, Nikolay Kolomeec, Alexandr Kutsenko, Svetla Nikova, Alexey Oblaukhov, Stjepan Picek, Bart Preneel, Vincent Rijmen, Natalia N. Tokareva:
Problems and solutions of the Fourth International Students' Olympiad in Cryptography NSUCRYPTO. - Binh Van Nguyen, Quang-Doanh Vu, Kiseon Kim:
Analysis and Optimization for Weighted Sum Rate in Energy Harvesting Cooperative NOMA Systems. - Ekta Prashnani, Hong Cai, Yasamin Mostofi, Pradeep Sen:
PieAPP: Perceptual Image-Error Assessment through Pairwise Preference. - Christian Payer, Darko Stern, Thomas Neff, Horst Bischof, Martin Urschler:
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks. - Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus H. Gross, Barbara Solenthaler:
Deep Fluids: A Generative Network for Parameterized Fluid Simulations. - Paul Francis, Sebastian Probst Eide, Pawel Obrok, Cristian Berneanu, Sasa Juric, Reinhard Munz:
Extended Diffix. - Rita Ibrahim, Mohamad Assaad, Berna Sayraç, Azeddine Gati:
When Distributed outperforms Centralized Scheduling in D2D-Enabled Cellular Networks. - Alessandro Guidotti, Alessandro Vanelli-Coralli, Matteo Conti, Stefano Andrenacci, Symeon Chatzinotas, Nicola Maturo, Barry G. Evans, Adegbenga B. Awoseyila, Alessandro Ugolini, Tommaso Foggi, Lorenzo Gaudio, Nader Alagha, Stefano Cioni:
Architectures and Key Technical Challenges for 5G Systems Incorporating Satellites. - Andreas Makoto Hein, Hélène Condat:
Can Machines Design? An Artificial General Intelligence Approach. - Nicolas Dupin, El-Ghazali Talbi:
Clustering in a 2-dimensional Pareto Front: the p-median and p-center problems are polynomially solvable. - Alessandro Tomasi, Alessio Meneghetti:
Binary linear code weight distribution estimation by random bit stream compression. - Simon Foster, Kangfeng Ye, Ana Cavalcanti, Jim Woodcock:
Calculational Verification of Reactive Programs with Reactive Relations and Kleene Algebra. - Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler:
Bounding Bloat in Genetic Programming. - Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, Eldad Elnekave:
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays. - Lavindra de Silva:
Addendum to "HTN Acting: A Formalism and an Algorithm". - Yishuo Zhang, Albert C. S. Chung:
Deep supervision with additional labels for retinal vessel segmentation task. - Yilong Yang, Quan Zu, Peng Liu, Defang Ouyang, Xiaoshan Li:
MicroShare: Privacy-Preserved Medical Resource Sharing through MicroService Architecture. - Amir Shaikhha, Andrew W. Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones, Christoph Koch:
Efficient Differentiable Programming in a Functional Array-Processing Language. - Abel Torres Montoya:
A New Framework for Machine Intelligence: Concepts and Prototype. - Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, Yaron Lipman:
Multi-chart Generative Surface Modeling. - Marcel von Maltitz, Georg Carle:
Leveraging Secure Multiparty Computation in the Internet of Things. - Erick Elejalde, Leo Ferres, Rossano Schifanella:
Understanding News Outlets' Audience-Targeting Patterns. - Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo:
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks. - Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger:
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds. - Sapna Negi, Maarten de Rijke, Paul Buitelaar:
Open Domain Suggestion Mining: Problem Definition and Datasets. - Chun-Kit Yeung, Dit-Yan Yeung:
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization. - Vahid Behzadan, Arslan Munir:
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise. - Zhaohui Yang, Cunhua Pan, Yi-Jin Pan, Yongpeng Wu, Wei Xu, Mohammad Shikh-Bahaei, Ming Chen:
Cache Placement in Two-Tier HetNets with Limited Storage Capacity: Cache or Buffer? - Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch:
Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series. - Stefanie Haustein:
Scholarly Twitter metrics. - Zhiyi Huang, Ning Kang, Zhihao Gavin Tang, Xiaowei Wu, Yuhao Zhang:
Online Makespan Minimization: The Power of Restart. - David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld:
Spectral Inference Networks: Unifying Spectral Methods With Deep Learning. - Zhaohui Yang, Cunhua Pan, Mohammad Shikh-Bahaei, Wei Xu, Ming Chen, Maged Elkashlan, Arumugam Nallanathan:
Joint Altitude, Beamwidth, Location and Bandwidth Optimization for UAV-Enabled Communications. - Warren Smith, Thomas Moyer, Charles Munson:
Curator: Provenance Management for Modern Distributed Systems. - Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation. - Kuldeep S. Meel:
Constrained Counting and Sampling: Bridging the Gap between Theory and Practice. - Anne-Françoise Cutting-Decelle, A. Digeon, Robert I. M. Young, J. L. Barraud, P. Lamboley:
Extraction Of Technical Information From Normative Documents Using Automated Methods Based On Ontologies : Application To The Iso 15531 Mandate Standard - Methodology And First Results. - Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. - Amir Bakarov, Roman Suvorov, Ilya Sochenkov:
The Limitations of Cross-language Word Embeddings Evaluation. - Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik:
Adversarial Regression with Multiple Learners. - Dhiraj Sarkar, Pritam Bhattacharjee, Alak Majumder:
Data-Dependent Clock Gating approach for Low Power Sequential System. - Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee:
Deep Vessel Segmentation By Learning Graphical Connectivity. - Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou:
Deploying Deep Ranking Models for Search Verticals. - Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. - William Mandel, Olivier Turcot, Dejan Knez, Stefan Parent, Samuel Kadoury:
Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis. - Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. - Francisco Ibarra, Marcos Báez, Francesca Fiore, Fabio Casati:
Designing for Co-located and Virtual Social Interactions in Residential Care. - Edward T. Reehorst, Philip Schniter:
Regularization by Denoising: Clarifications and New Interpretations. - Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen:
DPatch: Attacking Object Detectors with Adversarial Patches. - Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation. - Marc-Antoine Boucher, Sarah Lippé, Amélie Damphousse, Ramy El-Jalbout, Samuel Kadoury:
Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US. - Hector Geffner:
Model-free, Model-based, and General Intelligence. - Youssef A. Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim:
Unsupervised Attention-guided Image to Image Translation. - Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent:
Randomized Value Functions via Multiplicative Normalizing Flows. - Sérgio Pereira, Victor Alves, Carlos A. Silva:
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI. - Hadi G. Ghauch, Mikael Skoglund, Hossein Shokri Ghadikolaei, Carlo Fischione, Ali H. Sayed:
Learning Kolmogorov Models for Binary Random Variables. - Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. - Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava:
Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks. - Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan:
Conditional Linear Regression. - Seth Neel, Aaron Roth:
Mitigating Bias in Adaptive Data Gathering via Differential Privacy. - Naoyuki Ichimura:
Spatial Frequency Loss for Learning Convolutional Autoencoders. - Chih-Hong Cheng, Georg Nührenberg, Chung-Hao Huang, Harald Ruess, Hirotoshi Yasuoka:
Towards Dependability Metrics for Neural Networks. - Kamilya Smagulova, Kazybek Adam, Olga Krestinskaya, Alex Pappachen James:
Design of CMOS-memristor Circuits for LSTM architecture. - Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song:
Adversarial Attack on Graph Structured Data. - Mieczyslaw A. Klopotek:
Dempsterian-Shaferian Belief Network From Data. - Serguei A. Mokhov, Joey Paquet, Arash Khodadadi:
Fast Context-Annotated Classification of Different Types of Web Service Descriptions. - Johan Bjorck, Carla P. Gomes, Bart Selman:
Understanding Batch Normalization. - Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
Predictive Analysis on Twitter: Techniques and Applications. - Amit Gajbhiye, Shailendra Singh:
Resource Provisioning and Scheduling Algorithm for Meeting Cost and Deadline-Constraints of Scientific Workflows in IaaS Clouds. - Edemir Ferreira, Mário S. Alvim, Jefersson A. dos Santos:
A Comparative Study on Unsupervised Domain Adaptation Approaches for Coffee Crop Mapping. - Hsin-Po Wang, Iwan M. Duursma:
Polar Code Moderate Deviation: Recovering the Scaling Exponent. - Sotiris-Angelos Lenas, Vassilis Tsaoussidis, Srikanth Sundaresan, Arjuna Sathiaseelan, Jon Crowcroft:
On the Impact of Guest Traffic in Open-Access Domestic Broadband Sharing Schemes. - Haichao Wang, Jinlong Wang, Guoru Ding, Zhu Han:
D2D Communications Underlaying Wireless Powered Communication Networks. - Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto:
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. - Edwin Simpson, Iryna Gurevych:
Finding Convincing Arguments Using Scalable Bayesian Preference Learning. - Cheol Young Park, Kathryn Blackmond Laskey:
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data. - Quanzeng You, Hao Jiang:
Action4D: Real-time Action Recognition in the Crowd and Clutter. - Aleksandra Kalinowska, Kathleen Fitzsimons, Julius P. A. Dewald, Todd D. Murphey:
Online User Assessment for Minimal Intervention During Task-Based Robotic Assistance. - Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson:
Deep Variational Reinforcement Learning for POMDPs. - Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray:
Obfuscation Resilient Search through Executable Classification. - Casey Casalnuovo, Kenji Sagae, Premkumar T. Devanbu:
Studying the Difference Between Natural and Programming Language Corpora. - Meng Wu, Shengjian Guo, Patrick Schaumont, Chao Wang:
Eliminating Timing Side-Channel Leaks using Program Repair. - Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao:
Deep Ordinal Regression Network for Monocular Depth Estimation. - Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana:
Deep Reinforcement Learning for General Video Game AI. - Jalaj Bhandari, Daniel Russo, Raghav Singal:
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation. - Samiul Alam, Tahsin Reasat, Rashed Mohammad Doha, Ahmed Imtiaz Humayun:
NumtaDB - Assembled Bengali Handwritten Digits. - Seung Wook Kim, Makarand Tapaswi, Sanja Fidler:
Progressive Reasoning by Module Composition. - Dylan P. Losey, Marcia K. O'Malley:
Including Uncertainty when Learning from Human Corrections. - Cheol Young Park, Kathryn Blackmond Laskey:
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model. - Cheol Young Park, Kathryn Blackmond Laskey:
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness. - Pietro Pierpaoli, Dominique Sauter, Magnus Egerstedt:
Fault Tolerant Control for Networked Mobile Robots. - Lech Szymanski, Brendan McCane, Michael H. Albert:
The effect of the choice of neural network depth and breadth on the size of its hypothesis space. - Jiaxuan You, Bowen Liu, Rex Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. - Sathiya Kumaran Mani, Ramakrishnan Durairajan, Paul Barford, Joel Sommers:
A System for Clock Synchronization in an Internet of Things. - Yisu Zhou, Xiaolin Hu, Bo Zhang:
Interlinked Convolutional Neural Networks for Face Parsing. - Zachary M. Boyd, Mason A. Porter, Andrea L. Bertozzi:
Stochastic Block Models are a Discrete Surface Tension. - Luqi Wang, Daqian Cheng, Fei Gao, Fengyu Cai, Jixin Guo, Mengxiang Lin, Shaojie Shen:
A Collaborative Aerial-Ground Robotic System for Fast Exploration. - Xiaohu Ge, Yang Sun, Hamid Gharavi, John S. Thompson:
Joint Optimization of Computation and Communication Power in Multi-user Massive MIMO Systems. - Rafer Cooley, Shaya Wolf, Mike Borowczak:
Secure and Decentralized Swarm Behavior with Autonomous Agents for Smart Cities. - Seyed Mohammad Seyedzadeh, Alex K. Jones, Rami G. Melhem:
Mitigating Wordline Crosstalk using Adaptive Trees of Counters. - Erick De la Rosa, Wen Yu:
Conditional probability calculation using restricted Boltzmann machine with application to system identification. - Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan:
Simplifying Reward Design through Divide-and-Conquer. - Hossein Izadi Rad, Ji Feng, Hitoshi Iba:
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine. - Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo:
Large scale classification in deep neural network with Label Mapping. - Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li:
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. - El Mahdi El Mhamdi, Rachid Guerraoui, Lê Nguyên Hoang, Alexandre Maurer:
Removing Algorithmic Discrimination (With Minimal Individual Error). - Lou Zhao, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Mark C. Reed:
Multi-cell Hybrid Millimeter Wave Systems: Pilot Contamination and Interference Mitigation. - Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Information-Maximizing Sampling to Promote Tracking-by-Detection. - Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura:
Multi-Source Neural Machine Translation with Missing Data. - Duc-Phong Le, Nadia El Mrabet, Safia Haloui, Chik How Tan:
On the near prime-order MNT curves. - Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen:
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder. - Ye Shi, Hoang Duong Tuan, Ali A. Nasir, Trung Quang Duong, H. Vincent Poor:
PMU Placement Optimization for Smart Grid Obvervability and State Estimation. - Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang:
Shape Robust Text Detection with Progressive Scale Expansion Network. - Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. - Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang:
AI-based Two-Stage Intrusion Detection for Software Defined IoT Networks. - Roberta Calegari, Enrico Denti, Stefano Mariani, Andrea Omicini:
Logic Programming as a Service. - Oliver M. Cliff, Nathan Harding, Mahendra Piraveenan, E. Yagmur Erten, Manoj Gambhir, Mikhail Prokopenko:
Investigating Spatiotemporal Dynamics and Synchrony of Influenza Epidemics in Australia: An Agent-Based Modelling Approach. - Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. - Shi Wang, Daoyi Dong:
Fault-Tolerant Control of Linear Quantum Stochastic Systems. - Sebastian Siebertz:
Greedy domination on biclique-free graphs. - Christoph Stanik, Lloyd Montgomery, Daniel Martens, Davide Fucci, Walid Maalej:
A Simple NLP-based Approach to Support Onboarding and Retention in Open-Source Communities. - Gregor Bankhamer, Robert Elsässer, Dominik Kaaser, Matjaz Krnc:
Fast Consensus Protocols in the Asynchronous Poisson Clock Model with Edge Latencies. - Farbod Kayhan, Guido Montorsi:
Code Design for Non-Coherent Detection of Frame Headers in Precoded Satellite Systems. - Michael Robinson, Kevin I. Jones, Helge Janicke, Leandros Maglaras:
Developing Cyber Peacekeeping: Observation, Monitoring and Reporting. - Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. - Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey:
Dimensionality-Driven Learning with Noisy Labels. - Daniel Coelho de Castro, Ben Glocker:
Nonparametric Density Flows for MRI Intensity Normalisation. - Anahit Sargsyan, Areg Karapetyan, Wei Lee Woon, Aamena Alshamsi:
No Fragile Family Left Behind - Targeted Indicators of Academic Performance. - Joshua Heneage Dawes, Giles Reger:
Specification of State and Time Constraints for Runtime Verification of Functions. - Jie Zhang, Yan Wang, Jie Tang, Ming Ding:
Spectral Network Embedding: A Fast and Scalable Method via Sparsity. - Othon Michail, Paul G. Spirakis, Michail Theofilatos:
Fast Approximate Counting and Leader Election in Populations. - Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu:
Path-Level Network Transformation for Efficient Architecture Search. - David Balduzzi, Karl Tuyls, Julien Pérolat, Thore Graepel:
Re-evaluating evaluation. - Kevin Buchin, Maximilian Konzack, Wim Reddingius:
Progressive Simplification of Polygonal Curves. - Yusuke Sugawara, Sayaka Shiota, Hitoshi Kiya:
Super-Resolution using Convolutional Neural Networks without Any Checkerboard Artifacts. - Martin Wistuba, Ambrish Rawat:
Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data. - Changliu Liu, Mykel J. Kochenderfer:
Analyzing Traffic Delay at Unmanaged Intersections. - Nikita Kalinin:
New mechanism for repeated posted price auction with a strategic buyer without discounting. - Yuval Atzmon, Gal Chechik:
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning. - Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori:
Semi-Supervised Learning via Compact Latent Space Clustering. - Carlos Munuera, Wanderson Tenório, Fernando Torres:
Locally Recoverable codes from algebraic curves with separated variables. - Manuel Lagunas, Elena Garces:
Transfer Learning for Illustration Classification. - Lorenzo Sabattini, Valeria Villani, Julia N. Czerniak, Frieder Loch, Alexander Mertens, Birgit Vogel-Heuser, Cesare Fantuzzi:
Methodological Approach for the Evaluation of an Adaptive and Assistive Human-Machine System. - Fangfang Zheng, Saif Eddin Jabari, Henry X. Liu, DianChao Lin:
Traffic state estimation using stochastic Lagrangian dynamics. - Aaron Weiss, Daniel Patterson, Amal Ahmed:
Rust Distilled: An Expressive Tower of Languages. - Antonio Libri, Andrea Bartolini, Luca Benini:
Dwarf in a Giant: Enabling Scalable, High-Resolution HPC Energy Monitoring for Real-Time Profiling and Analytics. - Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente:
There goes Wally: Anonymously sharing your location gives you away. - Savvas Kastanakis, Pavlos Sermpezis, Vasileios Kotronis, Xenofontas A. Dimitropoulos:
CABaRet: Leveraging Recommendation Systems for Mobile Edge Caching. - Mathijs Schuurmans, Maxim Berman, Matthew B. Blaschko:
Efficient semantic image segmentation with superpixel pooling. - Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao:
Multiobjective Test Problems with Degenerate Pareto Fronts. - Reda Bellafqira, Gouenou Coatrieux, Emmanuelle Génin, Michel Cozic:
Secure Multilayer Perceptron Based On Homomorphic Encryption. - Seda Gurses, Rebekah Overdorf, Ero Balsa:
POTs: The revolution will not be optimized? - Moshe Sipper, Jason H. Moore:
Gamorithm. - Panagiotis Charalampopoulos, Maxime Crochemore, Gabriele Fici, Robert Mercas, Solon P. Pissis:
Alignment-free sequence comparison using absent words. - Ryan Wesslen, Sashank Santhanam, Alireza Karduni, Isaac Cho, Samira Shaikh, Wenwen Dou:
Anchored in a Data Storm: How Anchoring Bias Can Affect User Strategy, Confidence, and Decisions in Visual Analytics. - Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. - Pierre Isabelle, Roland Kuhn:
A Challenge Set for French - English Machine Translation. - Alban Laflaquière, J. Kevin O'Regan, Bruno Gas, Alexander V. Terekhov:
Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience. - Martin Toepfer, Christin Seifert:
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Evaluating surgical skills from kinematic data using convolutional neural networks. - Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert:
Performance of Hierarchical Sparse Detectors for Massive MTC. - Erik D. Demaine, Timothy D. Goodrich, Kyle Kloster, Brian Lavallee, Quanquan C. Liu, Blair D. Sullivan, Ali Vakilian, Andrew van der Poel:
Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class. - Sining Sun, Ching-Feng Yeh, Mari Ostendorf, Mei-Yuh Hwang, Lei Xie:
Training Augmentation with Adversarial Examples for Robust Speech Recognition. - Sining Sun, Ching-Feng Yeh, Mei-Yuh Hwang, Mari Ostendorf, Lei Xie:
Domain Adversarial Training for Accented Speech Recognition. - Elon Portugaly, Joseph J. Pfeiffer III:
Unbiased Estimation of the Value of an Optimized Policy. - Anis Elgabli, Vaneet Aggarwal:
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming over HTTP. - John D. Co-Reyes, Yuxuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine:
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings. - Denis Newman-Griffis, Ayah Zirikly:
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility. - Marko Mitrovic, Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi:
Data Summarization at Scale: A Two-Stage Submodular Approach. - Chelsea Finn, Kelvin Xu, Sergey Levine:
Probabilistic Model-Agnostic Meta-Learning. - Trieu H. Trinh, Quoc V. Le:
A Simple Method for Commonsense Reasoning. - Shrinivasan Sankar, Adrien Bartoli:
Model-based active learning to detect isometric deformable objects in the wild with deep architectures.