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ORCIDCoRR, November 2017
- (Withdrawn) Gene Ontology (GO) Prediction using Machine Learning Methods.
- Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell:
Log-DenseNet: How to Sparsify a DenseNet. - Gaurav Bhatt, Piyush Jha, Balasubramanian Raman:
Common Representation Learning Using Step-based Correlation Multi-Modal CNN. - Fei Wang, Xiaofeng Gao, Guihai Chen, Jun Ye:
Accelerate RNN-based Training with Importance Sampling. - Min Xu, Yong-Yian Wang, Anthony Theodore Chronopoulos, Hao Yue:
Performance Optimization and Parallelization of a Parabolic Equation Solver in Computational Ocean Acoustics on Modern Many-core Computer. - Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato:
Unsupervised Machine Translation Using Monolingual Corpora Only. - Arash Gholami Davoodi, Syed Ali Jafar:
K-User Symmetric M×N MIMO Interference Channel under Finite Precision CSIT: A GDoF perspective. - Vikash Singh:
Replace or Retrieve Keywords In Documents at Scale. - Daniel Stoller
, Sebastian Ewert, Simon Dixon:
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction. - Zhe Guo, Xiang Li, Heng Huang, Ning Guo, Quanzheng Li:
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes. - Zhenhua Zhang, Lei Lin:
Abnormal Spatial-Temporal Pattern Analysis for Niagara Frontier Border Wait Times. - Michael Dennis, Ljubomir Perkovic, Duru Türkoglu:
The Stretch Factor of Hexagon-Delaunay Triangulations. - Rose Yu, Stephan Zheng, Anima Anandkumar, Yisong Yue:
Long-term Forecasting using Tensor-Train RNNs. - Alexander A. Ageev:
Approximating the 2-Machine Flow Shop Problem with Exact Delays Taking Two Values. - Max H. Quinn, Erik Conser, Jordan M. Witte, Melanie Mitchell:
Semantic Image Retrieval via Active Grounding of Visual Situations. - Amita Misra, Shereen Oraby, Shubhangi Tandon, Sharath T. S., Pranav Anand, Marilyn A. Walker:
Summarizing Dialogic Arguments from Social Media. - Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante:
Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer. - Gang Chen, Nan Guan, Di Liu, Qingqiang He, Kai Huang, Todor P. Stefanov, Wang Yi:
Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks. - Klaus Jansen, Felix Land:
Scheduling Monotone Moldable Jobs in Linear Time. - Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
A Multiple Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data. - Caiming Xiong, Victor Zhong, Richard Socher:
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering. - James W. Goldfarb:
Separation of Water and Fat Magnetic Resonance Imaging Signals Using Deep Learning with Convolutional Neural Networks. - Elliot Meyerson, Risto Miikkulainen:
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. - Yong-Xian Wang, Lilun Zhang, Yonggang Che, Chuanfu Xu, Wei Liu, Hua-Yong Liu, Zhenghua Wang:
Improved Algorithm for Reconstructing Singular Connection in Multi-Block CFD Applications. - Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa:
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection. - Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection. - Dariusz Biernacki, Sergueï Lenglet, Piotr Polesiuk:
Proving Soundness of Extensional Normal-Form Bisimilarities. - Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten:
Countering Adversarial Images using Input Transformations. - Marzieh Najafi, Hedieh Ajam, Vahid Jamali, Panagiotis D. Diamantoulakis, George K. Karagiannidis, Robert Schober:
Statistical Modeling of FSO Fronthaul Channel for Drone-based Networks. - Weiren Yu, Xuemin Lin, Wenjie Zhang, Julie A. McCann:
Dynamical SimRank Search on Time-Varying Networks. - Will Grathwohl, Dami Choi, Yuhuai Wu, Geoffrey Roeder, David Duvenaud:
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation. - Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living. - Abolfazl Hashemi, Haris Vikalo:
Accelerated Sparse Subspace Clustering. - Xiao Li, Yao Ma, Calin Belta:
Automata Guided Hierarchical Reinforcement Learning for Zero-shot Skill Composition. - Vahid Jamali, Nariman Farsad, Robert Schober, Andrea Goldsmith:
Diffusive Molecular Communications with Reactive Signaling. - Jacob Schreiber:
Pomegranate: fast and flexible probabilistic modeling in python. - Sam Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern:
Visualizing and Understanding Atari Agents. - Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko:
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation. - Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng:
Training GANs with Optimism. - Miquel Martí, Atsuto Maki:
A multitask deep learning model for real-time deployment in embedded systems. - Yiding Lu, Yufan Guo, Anna Korhonen:
Erratum: Link prediction in drug-target interactions network using similarity indices. - Pavlos Vougiouklis, Hady ElSahar, Lucie-Aimée Kaffee, Christophe Gravier, Frédérique Laforest, Jonathon S. Hare, Elena Simperl:
Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples. - Wijik Lee, Young-Sik Kim, Jong-Seon No:
A New Signature Scheme Based on Punctured Reed-Muller Code With Random Insertion. - Lachlan Tychsen-Smith, Lars Petersson:
Improving Object Localization with Fitness NMS and Bounded IoU Loss. - Jessica Hoffmann, Constantine Caramanis:
The Cost of Uncertainty in Curing Epidemics. - Celalettin Umit Bas, Rui Wang, Thomas Choi, Sooyoung Hur, Kuyeon Whang, Jeongho Park, Jianzhong Zhang, Andreas F. Molisch:
Outdoor to Indoor Penetration Loss at 28 GHz for Fixed Wireless Access. - Celalettin Umit Bas, Rui Wang, Seun Sangodoyin, Sooyoung Hur, Kuyeon Whang, Jeongho Park, Jianzhong Zhang, Andreas F. Molisch:
Dynamic Double Directional Propagation Channel Measurements at 28 GHz. - Celalettin Umit Bas, Rui Wang, Seun Sangodoyin, Sooyoung Hur, Kuyeon Whang, Jeongho Park, Jianzhong Zhang, Andreas F. Molisch:
28 GHz Microcell Measurement Campaign for Residential Environment. - Boyuan Pan, Hao Li, Zhou Zhao, Deng Cai, Xiaofei He:
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation. - Kai Jin:
Finding all Maximal Area Parallelograms in a Convex Polygon. - Alexander M. Romanov:
A generalized concatenation construction for q-ary 1-perfect codes. - Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox:
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. - Edith Hemaspaandra, Lane A. Hemaspaandra:
Credimus. - Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-bitwidth Convolutional Neural Networks. - Do-Guk Kim, Jong-Uk Hou, Heung-Kyu Lee:
Learning deep features for source color laser printer identification based on cascaded learning. - Yuan Hong, Han Wang, Shangyu Xie, Bingyu Liu:
Privacy Preserving and Collusion Resistant Energy Sharing. - Minglong Qi, Shengwu Xiong, Jingling Yuan, Wenbi Rao, Luo Zhong:
On the complete weight enumerators of some linear codes with a few weights. - Fatemeh Afghah, Mohammad Zaeri-Amirani, Abolfazl Razi, Jacob Chakareski, Elizabeth S. Bentley:
A Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks. - Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst:
Minimum Energy Quantized Neural Networks. - Andrew J. Simmons, Rajesh Vasa:
Spatio-Temporal Reference Frames as Geographic Objects. - Christian Rosenke, Ronny Tredup:
The Hardness of Synthesizing Elementary Net Systems from Highly Restricted Inputs. - Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet:
Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models. - Chih-Ming Chen, Yi-Hsuan Yang, Yian Chen, Ming-Feng Tsai:
Vertex-Context Sampling for Weighted Network Embedding. - Yuzhong Wu, Tan Lee:
Reducing Model Complexity for DNN Based Large-Scale Audio Classification. - Ananya Raval, Rupesh Nasre, Vivek Kumar, R. Vasudevan, Sathish Vadhiyar, Keshav Pingali:
Dynamic Load Balancing Strategies for Graph Applications on GPUs. - Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi:
Re-DPoctor: Real-time health data releasing with w-day differential privacy. - Qianhui Luo, Huifang Ma, Yue Wang, Li Tang, Rong Xiong:
Single Multi-feature detector for Amodal 3D Object Detection in RGB-D Images. - Chenping Hou, Ling-Li Zeng, Dewen Hu:
Secure Classification With Augmented Features. - Dharma Teja Vooturi, Saurabh Goyal, Anamitra R. Choudhury, Yogish Sabharwal, Ashish Verma:
Efficient Inferencing of Compressed Deep Neural Networks. - Bernardt Duvenhage, Mfundo Ntini, Phala Ramonyai:
Improved Text Language Identification for the South African Languages. - Zhuoxiang Chen, Zhe Xu, Ya Zhang, Xiao Gu:
Query-free Clothing Retrieval via Implicit Relevance Feedback. - Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. - Mario Collotta, Giovanni Pau, Timothy Talty, Ozan K. Tonguz:
Bluetooth 5: a concrete step forward towards the IoT. - Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang:
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning. - Wenbin Li, Jeannette Bohg, Mario Fritz:
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning. - K. Raghavendra, Sathish S. Vadhiyar:
Determination of Checkpointing Intervals for Malleable Applications. - Philip Bille, Anders Roy Christiansen, Mikko Berggren Ettienne, Inge Li Gørtz:
Fast Dynamic Arrays. - Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. - Ivona Bezáková, Andreas Galanis, Leslie Ann Goldberg, Daniel Stefankovic:
Inapproximability of the independent set polynomial in the complex plane. - David Holzmüller:
Improved Approximation Schemes for the Restricted Shortest Path Problem. - Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran:
Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems. - Shikang Du, Xiaojun Wan, Yajie Ye:
Towards Automatic Generation of Entertaining Dialogues in Chinese Crosstalks. - Issa Khalil, Bei Guan, Mohamed Nabeel, Ting Yu:
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage. - Marc Miquel-Ribé:
From Attention to Participation: Reviewing and Modelling Engagement with Computers. - Mickaël Chen, Ludovic Denoyer, Thierry Artières:
Multi-View Data Generation Without View Supervision. - Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
Improving Neural Machine Translation through Phrase-based Forced Decoding. - Mostafa Dehghani, Glorianna Jagfeld, Hosein Azarbonyad, Alex Olieman, Jaap Kamps, Maarten Marx:
On Search Powered Navigation. - James H. Davenport, Matthew England:
The Potential and Challenges of CAD with Equational Constraints for SC-Square. - Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe, Jaap Kamps:
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision. - Philipp Fortenbacher, Turhan Demiray:
Linear /Quadratic Programming Based Optimal Power Flow using Linear Power Flow and Absolute Loss Approximations. - Kan Huang, Chunbiao Zhu, Ge Li:
Robust Saliency Detection via Fusing Foreground and Background Priors. - Lutfi Kerem Senel, Ihsan Utlu, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Semantic Structure and Interpretability of Word Embeddings. - Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin:
An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting. - Christoph Rettinger, Ulrich Rüde:
A Coupled Lattice Boltzmann Method and Discrete Element Method for Discrete Particle Simulations of Particulate Flows. - Gonca Gürsun:
On Spectral Analysis of the Internet Delay Space and Detecting Anomalous Routing Paths. - Lester W. Mackey, Vasilis Syrgkanis, Ilias Zadik:
Orthogonal Machine Learning: Power and Limitations. - Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. - Brenden M. Lake, Marco Baroni:
Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks. - Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler:
Shift-Invariant Kernel Additive Modelling for Audio Source Separation. - Ryosuke Sonobe, Shinnosuke Takamichi, Hiroshi Saruwatari:
JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis. - Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. - Vladimir Katkovnik, Mykola Ponomarenko, Karen O. Egiazarian:
Complex-valued image denosing based on group-wise complex-domain sparsity. - Andrew Critch, Stuart Russell:
Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making. - Lantian Li, Zhiyuan Tang, Dong Wang:
Full-info Training for Deep Speaker Feature Learning. - Oliver Gutsche, Luca Canali, Illia Cremer, Matteo Cremonesi, Peter Elmer, Ian Fisk, Maria Girone, Bo Jayatilaka, Jim Kowalkowski, Viktor Khristenko, Evangelos Motesnitsalis, Jim Pivarski, Saba Sehrish, Kacper Surdy, Alexey Svyatkovskiy:
CMS Analysis and Data Reduction with Apache Spark. - Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval:
Analyzing the Approximation Error of the Fast Graph Fourier Transform. - Anna Minaeva, Benny Akesson, Zdenek Hanzálek, Dakshina Dasari:
Time-Triggered Co-Scheduling of Computation and Communication with Jitter Requirements. - Sandra Wachter, Brent D. Mittelstadt, Chris Russell:
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. - Yun-Seong Cho, Seonho Kim, Song-Nam Hong:
Successive Cancellation Soft Output Detector For Uplink MU-MIMO Systems With One-bit ADCs. - Julia Ling, Maxwell Hutchinson, Erin Antono, Brian DeCost, Elizabeth A. Holm, Bryce Meredig:
Building Data-driven Models with Microstructural Images: Generalization and Interpretability. - Sahil Singla:
The Price of Information in Combinatorial Optimization. - Cheng Zhang, Yindi Jing, Yongming Huang, Luxi Yang:
Performance Analysis for Massive MIMO Downlink with Low Complexity Approximate Zero-Forcing Precoding. - Patrick Benediktsson, Jon A. Flandrin, Chen Zheng:
Non Uniform On Chip Power Delivery Network Synthesis Methodology. - Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. - Shashanka Ubaru, Yousef Saad:
Sampling and multilevel coarsening algorithms for fast matrix approximations. - Eduardo Valle, Michel Fornaciali, Afonso Menegola, Julia Tavares, Flávia Vasques Bittencourt, Lin Tzy Li, Sandra Avila:
Data, Depth, and Design: Learning Reliable Models for Melanoma Screening. - Angus Galloway, Graham W. Taylor, Medhat Moussa:
Attacking Binarized Neural Networks. - Rudy Bunel, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, M. Pawan Kumar:
Piecewise Linear Neural Network verification: A comparative study. - Alex Fedorov, Eswar Damaraju, Vince D. Calhoun, Sergey M. Plis:
Almost instant brain atlas segmentation for large-scale studies. - Satyakama Paul, Madhur Hasija, Tshilidzi Marwala:
Early prediction of the duration of protests using probabilistic Latent Dirichlet Allocation and Decision Trees. - Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy:
An Information-Theoretic Analysis of Deep Latent-Variable Models. - Jacob Andreas, Dan Klein, Sergey Levine:
Learning with Latent Language. - Samuel L. Smith, Pieter-Jan Kindermans, Quoc V. Le:
Don't Decay the Learning Rate, Increase the Batch Size. - Amr Alanwar, Tsang-Kai Chang, Mani B. Srivastava, Ankur Mehta:
TERSE-KF: Event-Trigger Diffusion Kalman Filter with Application to Localization and Time Synchronization. - Patrick Brandao, Evangelos B. Mazomenos, Danail Stoyanov:
Widening siamese architectures for stereo matching. - Rong Ge, Jason D. Lee, Tengyu Ma:
Learning One-hidden-layer Neural Networks with Landscape Design. - Jinseok Choi, Brian L. Evans:
User Scheduling for Millimeter Wave MIMO Communications with Low-Resolution ADCs. - Nikolai Nøjgaard, Nadia El-Mabrouk, Daniel Merkle, Nicolas Wieseke, Marc Hellmuth:
Partial Orthology, Paralogy and Xenology Relations - Satisfiability in terms of Di-Cographs. - Renato P. dos Santos:
On the Philosophy of Bitcoin/Blockchain Technology: Is it a Chaotic, Complex System? - Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow:
Evaluating Discourse Phenomena in Neural Machine Translation. - Yuxuan Wang, R. J. Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous:
Uncovering Latent Style Factors for Expressive Speech Synthesis.