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ORCIDCoRR, April 2018
- Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai:
ESPnet: End-to-End Speech Processing Toolkit. - Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian:
Hierarchical Transfer Convolutional Neural Networks for Image Classification. - Andreas Venzke, Spyros Chatzivasileiadis:
Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids. - Scott Pakin:
Performing Fully Parallel Constraint Logic Programming on a Quantum Annealer. - Hang Ma, Wolfgang Hönig, Liron Cohen, Tansel Uras, Hong Xu, T. K. Satish Kumar, Nora Ayanian, Sven Koenig:
Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems. - Albert Haque, Michelle Guo, Prateek Verma:
Conditional End-to-End Audio Transforms. - Yongxiang Fan, Te Tang, Hsien-Chung Lin, Masayoshi Tomizuka:
Real-Time Grasp Planning for Multi-Fingered Hands by Finger Splitting. - Shujian Yu, José C. Príncipe:
Understanding Autoencoders with Information Theoretic Concepts. - Varun Manjunatha, Srikumar Ramalingam, Tim K. Marks, Larry S. Davis:
Class Subset Selection for Transfer Learning using Submodularity. - Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager:
Visual Robot Task Planning. - Jyh-Jing Hwang, Sergei Azernikov, Alexei A. Efros, Stella X. Yu:
Learning Beyond Human Expertise with Generative Models for Dental Restorations. - Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé
, Graham Neubig:
Attentive Interaction Model: Modeling Changes in View in Argumentation. - Eugene Goldberg:
Generation of complete test sets. - Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal:
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. - Johnnatan Messias:
Characterizing Interconnections and Linguistic Patterns in Twitter. - Lakshya Tandon, Philip W. L. Fong, Reihaneh Safavi-Naini:
HCAP: A History-Based Capability System for IoT Devices. - Chen Liu, Jiaye Wu, Yasutaka Furukawa:
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans. - Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning with Open-set Noisy Labels. - Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe:
Adversarial Attacks and Defences Competition. - Dongmian Zou, Gilad Lerman:
Graph Convolutional Neural Networks via Scattering. - Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu, Yong Xu:
Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning. - Mikkel Abrahamsen, Anna Adamaszek, Karl Bringmann, Vincent Cohen-Addad, Mehran Mehr, Eva Rotenberg, Alan Roytman, Mikkel Thorup:
Fast Fencing. - Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. - Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin:
Visual Question Reasoning on General Dependency Tree. - Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy:
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. - Steven Chen, Kristen Grauman:
Compare and Contrast: Learning Prominent Visual Differences. - Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu:
Tagging like Humans: Diverse and Distinct Image Annotation. - Sparsh Mittal, S. B. Abhinaya, Manish Reddy, Irfan Ali:
A Survey of Techniques for Improving Security of GPUs. - Wei Qiao, Kyle Altman, Agung Julius, Bernard Possidente, John T. Wen:
Continuous Circadian Phase Estimation Using Adaptive Notch Filter. - Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Siwei Lyu:
Multi-label Learning with Missing Labels using Mixed Dependency Graphs. - Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, David A. Forsyth:
Quantitative Evaluation of Style Transfer. - Gergo Érdi:
Generic Description of Well-Scoped, Well-Typed Syntaxes. - Mishal Assif P. K., Ravi N. Banavar, Anthony M. Bloch, Margarida Camarinha, Leonardo Colombo:
Variational collision avoidance problems on Riemannian manifolds. - Bo Xiong, Kristen Grauman:
Snap Angle Prediction for 360° Panorama. - Shiri Chechik, Doron Mukhtar:
Optimal Distributed Coloring Algorithms for Planar Graphs in the LOCAL model. - Md. Sakir Hossain, Tetsuya Shimamura:
Low Complexity Null Subcarrier-Assisted OFDM PAPR Reduction with Improved BER. - P. Manisha, Sujit Gujar:
Generative Adversarial Networks (GANs): What it can generate and What it cannot? - Telikepalli Kavitha:
The Popular Roommates problem. - Simon Keizer, Verena Rieser:
Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling. - Simone Acciarito, Gian Carlo Cardarilli, Alessandro Cristini, Luca Di Nunzio, Rocco Fazzolari, Gaurav Mani Khanal, Marco Re, Gianluca Susi:
Hardware design of LIF with Latency neuron model with memristive STDP synapses. - Ismail Shahin:
Speaker Verification in Emotional Talking Environments based on Three-Stage Framework. - Mohammad Mahdi Tajiki, Behzad Akbari, Nader Mokari:
Optimal QoS-aware network reconfiguration in software defined cloud data centers. - Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. - Song Feng, Linhua Deng, Guofeng Shu, Feng Wang, Hui Deng, Kaifan Ji:
A Subpixel Registration Algorithm for Low PSNR Images. - Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox:
DeepIM: Deep Iterative Matching for 6D Pose Estimation. - Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
Webly Supervised Learning for Skin Lesion Classification. - Chuan Zhang, Chao Yang, Wei Xu, Shunqing Zhang, Zaichen Zhang, Xiaohu You:
Efficient Sparse Code Multiple Access Decoder Based on Deterministic Message Passing Algorithm. - Adam Czajka, Kevin W. Bowyer:
Presentation Attack Detection for Iris Recognition: An Assessment of the State of the Art. - Lukasz Kidzinski, Sharada P. Mohanty, Carmichael F. Ong, Jennifer L. Hicks, Sean F. Carroll, Sergey Levine, Marcel Salathé, Scott L. Delp:
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning. - Vasileios Mavroeidis, Kamer Vishi, Mateusz D. Zych, Audun Jøsang:
The Impact of Quantum Computing on Present Cryptography. - Krishnendu Chatterjee, Monika Henzinger, Veronika Loitzenbauer, Simin Oraee, Viktor Toman:
Symbolic Algorithms for Graphs and Markov Decision Processes with Fairness Objectives. - Ali Taleb Zadeh Kasgari, Walid Saad, Mérouane Debbah:
Human-in-the-Loop Wireless Communications: Machine Learning and Brain-Aware Resource Management. - Abdelhamid Boudane, Saïd Jabbour, Badran Raddaoui, Lakhdar Sais:
Efficient Encodings of Conditional Cardinality Constraints. - Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang:
Gated Fusion Network for Single Image Dehazing. - Mahdi M. Kalayeh, Emrah Basaran, Muhittin Gokmen, Mustafa E. Kamasak, Mubarak Shah:
Human Semantic Parsing for Person Re-identification. - Amir Salman Avestimehr, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi:
Fundamental Resource Trade-offs for Encoded Distributed Optimization. - Lazar Valkov, Dipak Chaudhari, Akash Srivastava, Charles Sutton, Swarat Chaudhuri:
Synthesis of Differentiable Functional Programs for Lifelong Learning. - Luke Metz, Niru Maheswaranathan, Brian Cheung, Jascha Sohl-Dickstein:
Learning Unsupervised Learning Rules. - Ashish Tapdiya, Daniel Fabbri:
A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics. - Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier:
Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition. - Alina Striner:
Can Multisensory Cues in VR Help Train Pattern Recognition to Citizen Scientists? - Andreas Kölsch, Ashutosh Mishra, Saurabh Varshneya, Marcus Liwicki:
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks. - Eunjin Oh, Hee-Kap Ahn:
Assigning Weights to Minimize the Covering Radius in the Plane. - Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling:
Graph Correspondence Transfer for Person Re-identification. - Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. - Sara Bunian, Alessandro Canossa, Randy C. Colvin, Magy Seif El-Nasr:
Modeling Individual Differences in Game Behavior using HMM. - Martin Popel, Ondrej Bojar:
Training Tips for the Transformer Model. - Qi Chen, Weichao Qiu, Yi Zhang, Lingxi Xie, Alan L. Yuille:
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data. - Saeed Nozhati, Yugandhar Sarkale, Bruce R. Ellingwood, Edwin K. P. Chong, Hussam Mahmoud:
A combined approximate dynamic programming & simulated annealing optimization method to address community-level food security in the aftermath of disasters. - Daniel O'Keeffe, Stefano Riverso, Laura Albiol-Tendillo, Gordon Lightbody:
Decentralised L1 Adaptive Primary Controllers and Distributed Consensus-Based Secondary Control for DC Microgrids with Constant-Power Loads. - Baochang Zhang, Jiaxin Gu, Chen Chen, Jungong Han, Xiangbo Su, Xianbin Cao, Jianzhuang Liu:
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing. - Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Real-time Progressive 3D Semantic Segmentation for Indoor Scene. - Sparsh Mittal:
A Survey of Techniques for Dynamic Branch Prediction. - Arash Shaghaghi, Mohamed Ali Kâafar, Rajkumar Buyya, Sanjay Jha:
Software-Defined Network (SDN) Data Plane Security: Issues, Solutions and Future Directions. - Md Mehedi Hassan Onik, Nasr Al-Zaben, Hung Phan Hoo, Chul-Soo Kim:
A Novel Approach for Network Attack Classification Based on Sequential Questions. - Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy:
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. - Tofar Chih-Yuan Chang, Yu T. Su:
Adaptive Group Shuffled Decoding for LDPC Codes. - Khuziev Ilnur:
Fast tree numeration in networks with synchronized time. - Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional Multilabel Learning over Graphs: A Message Passing Approach. - Vishal Sharma, Kathiravan Srinivasan:
QoS-Aware Routing in Wireless Networks Using Aerial Vehicles. - Badri N. Patro, Vinay P. Namboodiri:
Differential Attention for Visual Question Answering. - Karen López-Linares, Nerea Aranjuelo, Luis Kabongo, Gregory Maclair, Nerea Lete, Mario Ceresa, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks. - Cun Mu, Guang Yang, Zheng Yan:
Revisiting Skip-Gram Negative Sampling Model with Regularization. - Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar:
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. - Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li:
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. - Poya Khalaf, Hanz Richter:
Trajectory Optimization of Robots with Regenerative Drive Systems: Numerical and Experimental Results. - Muhammad Nazmul Islam, Navid Abedini, Georg K. Hampel, Sundar Subramanian, Junyi Li:
Investigation of Performance in Integrated Access and Backhaul Networks. - Da-Rong Liu, Kuan-Yu Chen, Hung-yi Lee, Lin-Shan Lee:
Completely Unsupervised Phoneme Recognition by Adversarially Learning Mapping Relationships from Audio Embeddings. - Pei-Hung Chung, Kuan Tung, Ching-Lun Tai, Hung-yi Lee:
Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator. - Chia-Hsuan Li, Szu-Lin Wu, Chi-Liang Liu, Hung-yi Lee:
Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension. - James Lucas, Richard S. Zemel, Roger B. Grosse:
Aggregated Momentum: Stability Through Passive Damping. - Arsha Nagrani, Samuel Albanie, Andrew Zisserman:
Seeing Voices and Hearing Faces: Cross-modal biometric matching. - Zhili Feng, Po-Ling Loh:
Online learning with graph-structured feedback against adaptive adversaries. - Le Liang, Hao Ye, Geoffrey Ye Li:
Towards Intelligent Vehicular Networks: A Machine Learning Framework. - Mehdi Tavan, Kamel Sabahi:
Input Voltage and Current Sensorless Control of a Single Phase AC-DC Boost Converter. - Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, Alexandra Birch:
Marian: Fast Neural Machine Translation in C++. - Yedid Hoshen, Lior Wolf:
Unsupervised Correlation Analysis. - Mohammad Javad Khojasteh, Massimo Franceschetti, Gireeja Ranade:
Stabilizing a linear system using phone calls. - Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp:
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. - Yu-Hsuan Kuo, Cho-Chun Chiu, Daniel Kifer, Michael Hay, Ashwin Machanavajjhala:
Differentially Private Hierarchical Group Size Estimation. - Saksham Sharma, Pallav Agarwal, Parv Mor, Amey Karkare:
TipsC: Tips and Corrections for programming MOOCs. - Zhenwei He, Lei Zhang, Wei Jia:
End-to-End Detection and Re-identification Integrated Net for Person Search. - Anirudh Goyal, Philemon Brakel, William Fedus, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio:
Recall Traces: Backtracking Models for Efficient Reinforcement Learning. - Wonsik Kim, Bhavya Goyal, Kunal Chawla, Jungmin Lee, Keunjoo Kwon:
Attention-based Ensemble for Deep Metric Learning. - Jae-Mo Kang, Il-Min Kim, Dong In Kim:
Joint Tx Power Allocation and Rx Power Splitting for SWIPT System with Multiple Nonlinear Energy Harvesting Circuits. - Yule Li, Jianping Shi, Dahua Lin:
Low-Latency Video Semantic Segmentation. - Manxi Wu, Saurabh Amin:
Security of Transportation Networks: Modeling Attacker-Defender Interaction. - Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation. - Narita Pandhe, Balazs Rada, Shannon Quinn:
Generative Spatiotemporal Modeling Of Neutrophil Behavior. - Josemar Alves Caetano, Jaqueline Faria de Oliveira, Helder Seixas Lima, Humberto Torres Marques-Neto, Gabriel Magno, Wagner Meira Jr., Virgílio A. F. Almeida:
Analyzing and characterizing political discussions in WhatsApp public groups. - Hung Dang, Anh Dinh, Ee-Chien Chang, Beng Chin Ooi:
Chain of Trust: Can Trusted Hardware Help Scaling Blockchains? - Prasetya Ajie Utama, Nathaniel Weir, Fuat Basik, Carsten Binnig, Ugur Çetintemel, Benjamin Hättasch, Amir Ilkhechi, Shekar Ramaswamy, Arif Usta:
An End-to-end Neural Natural Language Interface for Databases. - Ke Ding:
A Note on Kaldi's PLDA Implementation. - Wen-Cheng Chen, Chien-Wen Chen, Min-Chun Hu:
SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks. - Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang:
End-to-End Learning of Motion Representation for Video Understanding. - Rayna Dimitrova, Mahsa Ghasemi, Ufuk Topcu:
Maximum Realizability for Linear Temporal Logic Specifications. - Zhanzhan Zhang, Yin Sun, Ashutosh Sabharwal, Zhiyong Chen:
Impact of Channel State Misreporting on Multi-user Massive MIMO Scheduling Performance. - Michael Gr. Voskoglou:
A Study of Student Learning Skills Using Fuzzy Relation Equations. - Michael Gr. Voskoglou, Yiannis A. Theodorou:
Application of Grey Numbers to Assessment Processes. - Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo:
Multi-scale Location-aware Kernel Representation for Object Detection. - Abdullah Asim Yilmaz, Mehmet Serdar Güzel, Iman Askerbeyli, Erkan Bostanci:
A Vehicle Detection Approach using Deep Learning Methodologies. - Dongwook Lee, Jae Jun Yoo, Sungho Tak, Jong Chul Ye:
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks. - Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection. - Céline Craye, Timothée Lesort, David Filliat, Jean-Francois Goudou:
Exploring to learn visual saliency: The RL-IAC approach. - Egor V. Kostylev, Dan Suciu:
A Note on the Hardness of the Critical Tuple Problem. - Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Fixed-sized representation learning from Offline Handwritten Signatures of different sizes. - Srishti Gupta, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru:
Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks. - Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard:
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning. - Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Subspace-Orbit Randomized Decomposition for Low-rank Matrix Approximation. - Xi Zheng:
Database as a Service - Current Issues and Its Future.