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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.