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ORCIDCoRR, November 2018
- Ryan Prenger, Rafael Valle, Bryan Catanzaro:
WaveGlow: A Flow-based Generative Network for Speech Synthesis.
- (Withdrawn) Deep Net Features for Complex Emotion Recognition.
- Gerasimos Lampouras, Ion Androutsopoulos:
Generating Texts with Integer Linear Programming. - Shrey Gadiya
, Deepak Anand, Amit Sethi:
Some New Layer Architectures for Graph CNN. - Sheikh Muhammad Saiful Islam, Md. Mahedi Hasan:
DEEPGONET: Multi-label Prediction of GO Annotation for Protein from Sequence Using Cascaded Convolutional and Recurrent Network. - Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks. - Nina Pörner, Masoud Jalili Sabet, Benjamin Roth, Hinrich Schütze:
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective. - Yifeng Tao, Bruno Godefroy, Guillaume Genthial, Christopher Potts:
Effective Feature Representation for Clinical Text Concept Extraction. - Prashnna K. Gyawali, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang:
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors. - Anthony J. Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, Eamonn J. Keogh:
The UEA multivariate time series classification archive, 2018. - Nikolaos Dionelis:
On Single-Channel Speech Enhancement and On Non-Linear Modulation-Domain Kalman Filtering. - Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. - Mosab Khayat, Arif Ghafoor:
A Process-driven View on Summative Evaluation of Visual Analytics Solutions. - Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. - Samira Samadi, Uthaipon Tao Tantipongpipat, Jamie Morgenstern, Mohit Singh, Santosh S. Vempala:
The Price of Fair PCA: One Extra Dimension. - Geordie George, Angel Lozano, Martin Haenggi:
Massive MIMO Forward Link Analysis for Cellular Networks. - David Gómez-Gutiérrez, Carlos Renato Vázquez, Sergej Celikovský, Juan Diego Sánchez-Torres, Javier Ruiz-León:
On finite-time and fixed-time consensus algorithms for dynamic networks switching among disconnected digraphs. - Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy. - Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Face Recognition: From Traditional to Deep Learning Methods. - Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge:
A task in a suit and a tie: paraphrase generation with semantic augmentation. - Yu Sun, Shiqi Xu, Yunzhe Li, Lei Tian, Brendt Wohlberg, Ulugbek S. Kamilov:
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm. - David J. Miller, Xinyi Hu, Zhen Xiang, George Kesidis:
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters. - Nghia Doan, Seyyed Ali Hashemi, Elie Ngomseu Mambou, Thibaud Tonnellier, Warren J. Gross:
Neural Belief Propagation Decoding of CRC-Polar Concatenated Codes. - Karl J. Kreder III:
BlockReduce: Scaling Blockchain to Human Commerce. - Amaru Cuba Gyllensten, Magnus Sahlgren:
Measuring Issue Ownership using Word Embeddings. - Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman:
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning. - Yijun Xiao, Tiancheng Zhao, William Yang Wang:
Dirichlet Variational Autoencoder for Text Modeling. - Nathaniel Harms:
Testing Halfspaces over Rotation-Invariant Distributions. - Tingting Li, Cheng Feng, Chris Hankin:
Improving ICS Cyber Resilience through Optimal Diversification of Network Resources. - Minghuang Ma, Hadi Pouransari, Daniel Chao, Saurabh Adya, Santiago Akle Serrano, Yi Qin, Dan Gimnicher, Dominic Walsh:
Democratizing Production-Scale Distributed Deep Learning. - Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, John C. Duchi, Russ Tedrake:
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation. - Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. - Haoyu Wang, Vivek Kulkarni, William Yang Wang:
DOLORES: Deep Contextualized Knowledge Graph Embeddings. - Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees for Quadratic Tensors with Limited Observations. - Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer:
Mixture Density Generative Adversarial Networks. - Jian Zhang, Avner May, Tri Dao, Christopher Ré:
Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. - Beau Johnston, Gregory Falzon, Josh Milthorpe:
OpenCL Performance Prediction using Architecture-Independent Features. - Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya:
Clustered Monotone Transforms for Rating Factorization. - Zahra Sadeghi:
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted properties of neurons. - Yu-An Wang, Yu-Kai Huang, Tzu-Chuan Lin, Shang-Yu Su, Yun-Nung Chen:
Modeling Melodic Feature Dependency with Modularized Variational Auto-Encoder. - Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm:
Deep Counterfactual Regret Minimization. - Panagiotis Kasnesis, Charalampos Z. Patrikakis, Iakovos S. Venieris:
PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion. - Shuangting Liu, Jiaqi Zhang, Yuxin Chen, Yifan Liu, Zengchang Qin, Tao Wan:
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks. - Karim Eldefrawy, Ivan Oliveira Nunes, Norrathep Rattanavipanon, Michael Steiner, Gene Tsudik:
Formally Verified Hardware/Software Co-Design for Remote Attestation. - Charanjeet, Anuj Sharma:
Online learning using multiple times weight updating. - Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Improving Robustness of Attention Models on Graphs. - Haojie Pan, Junpei Zhou, Zhou Zhao, Yan Liu, Deng Cai, Min Yang:
Dial2Desc: End-to-end Dialogue Description Generation. - Jiayang Liu, Dongdong Hou, Weiming Zhang, Nenghai Yu:
Reversible Adversarial Examples. - Umang Mathur, P. Madhusudan, Mahesh Viswanathan:
Decidable Verification of Uninterpreted Programs. - Hui Liu, Qingyu Yin, William Yang Wang:
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. - Hao Yu, Vivek Kulkarni, William Yang Wang:
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings. - Christopher Mohri:
Online Learning Algorithms for Statistical Arbitrage. - Pranay Mukherjee, Abhirup Das, Ayan Kumar Bhunia, Partha Pratim Roy:
Cogni-Net: Cognitive Feature Learning through Deep Visual Perception. - Yinzheng Gu, Chuanpeng Li, Jinbin Xie:
Attention-aware Generalized Mean Pooling for Image Retrieval. - Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. - Hannah Rashkin, Eric Michael Smith, Margaret Li, Y-Lan Boureau:
I Know the Feeling: Learning to Converse with Empathy. - Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang:
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions. - Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Adaptive Planner Scheduling with Graph Neural Networks. - Vipul Harsh, Sangeetha Abdu Jyothi, Inderdeep Singh, Philip Brighten Godfrey:
Expander Datacenters: From Theory to Practice. - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
META-DES.Oracle: Meta-learning and feature selection for ensemble selection. - Hu Han, Jie Li, Anil K. Jain, Shiguang Shan, Xilin Chen:
Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning. - Ashif Sikandar Iquebal, Satish T. S. Bukkapatnam:
Unsupervised image segmentation via maximum a posteriori estimation of continuous max-flow. - Kaidi Cao, Jing Liao, Lu Yuan:
CariGANs: Unpaired Photo-to-Caricature Translation. - Jong Wook Kim, Rachel M. Bittner, Aparna Kumar, Juan Pablo Bello:
Neural Music Synthesis for Flexible Timbre Control. - Naomi Saphra, Adam Lopez:
Understanding Learning Dynamics Of Language Models with SVCCA. - Grant Schoenebeck, Shih-Tang Su, Vijay G. Subramanian:
Social Learning with Questions. - Daouda Sow, Zengchang Qin, Mouhamed Niasse, Tao Wan:
A sequential guiding network with attention for image captioning. - Daesik Kim, Seonhoon Kim, Nojun Kwak:
Textbook Question Answering with Knowledge Graph Understanding and Unsupervised Open-set Text Comprehension. - Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi:
Survey on Vision-based Path Prediction. - Tatsuya Chuman, Warit Sirichotedumrong, Hitoshi Kiya:
Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Images. - Hao Li, Yang Wang, Xinyu Liu, Zhichao Sheng, Si Wei:
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data. - Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang:
Progressive Memory Banks for Incremental Domain Adaptation. - Farhad Bin Siddique, Dario Bertero, Pascale Fung:
GlobalTrait: Personality Alignment of Multilingual Word Embeddings. - Zhiping Zeng, Yerbolat Khassanov, Van Tung Pham, Haihua Xu, Eng Siong Chng, Haizhou Li:
On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition. - Jinwon An, Sungwon Lyu, Sungzoon Cho:
SARN: Relational Reasoning through Sequential Attention. - P. Manisha, Sujit Gujar:
A Neural Network Framework for Fair Classifier. - Dichao Hu:
Examining Performance of Sketch-to-Image Translation Models with Multiclass Automatically Generated Paired Training Data. - Yang He, Ping Liu, Ziwei Wang, Yi Yang:
Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration. - Kaitao Song, Tan Xu, Furong Peng, Jianfeng Lu:
Hybrid Self-Attention Network for Machine Translation. - Yaqiang Yao, Yan Liu, Huanhuan Chen:
Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches. - Long Zhou, Yuchen Liu, Jiajun Zhang, Chengqing Zong, Guoping Huang:
Language-Independent Representor for Neural Machine Translation. - Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye:
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform. - Masahito Hayashi:
Semi-Finite Length Analysis for Information Theoretic Tasks. - Yaqiang Yao, Huanhuan Chen:
Multiple Kernel k-Means Clustering by Selecting Representative Kernels. - Rui Wang, Deyu Zhou, Yulan He:
ATM: Adversarial-neural Topic Model. - Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Masashi Toyoda, Masaru Kitsuregawa:
Learning to Describe Phrases with Local and Global Contexts. - Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, Jian Yang:
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition. - Yiling Yuan, Tao Yang, Yuedong Xu, Hui Feng, Bo Hu:
A Cascaded Channel-Power Allocation for D2D Underlaid Cellular Networks Using Matching Theory. - Cho-Ying Wu, Ulrich Neumann:
Efficient Multi-Domain Dictionary Learning with GANs. - Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang, Xu Sun:
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy. - Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li:
Towards Linear Time Neural Machine Translation with Capsule Networks. - Dezhi Wang, Lilun Zhang, Changchun Bao, Kele Xu, Boqing Zhu, Qiuqiang Kong:
Weakly supervised CRNN system for sound event detection with large-scale unlabeled in-domain data. - Ev Zisselman, Jeremias Sulam, Michael Elad:
A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model. - Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez:
Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking. - Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Recurrent Neural Networks as Universal Approximators. - Emna Krichene, Wael Ouarda, Habib Chabchoub, Adel M. Alimi:
Taylor-based Optimized Recursive Extended Exponential Smoothed Neural Networks Forecasting Method. - Vasileios Argyriou:
Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain. - Yu Hong Yeung, Alex Pothen, Jessica Crouch:
AMPS: A Real-time Mesh Cutting Algorithm for Surgical Simulations. - Qin Zou, Yanling Wang, Yi Zhao, Qian Wang, Chao Shen, Qingquan Li:
Deep Learning Based Gait Recognition Using Smartphones in the Wild. - Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Ji-Lin Li, Chengjie Wang, Feiyue Huang, Yu Chen:
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos. - Subeesh Vasu, Thekke Madam Nimisha, Rajagopalan Ambasamudram Narayanan:
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network. - Mokshay Madiman, Piotr Nayar, Tomasz Tkocz:
Entropy versus variance for symmetric log-concave random variables and related problems. - Ramon Sanabria, Ozan Caglayan, Shruti Palaskar, Desmond Elliott, Loïc Barrault, Lucia Specia, Florian Metze:
How2: A Large-scale Dataset for Multimodal Language Understanding. - Haitong Zhang, Junbo Zhang, Yujun Wang:
Sequence-to-sequence Models for Small-Footprint Keyword Spotting. - Haitong Zhang, Junbo Zhang, Yujun Wang:
End-to-end Models with auditory attention in Multi-channel Keyword Spotting. - Iacer Calixto, Miguel Rios, Wilker Aziz:
Latent Visual Cues for Neural Machine Translation. - Xiaotong Luo, Rong Chen, Yuan Xie, Yanyun Qu, Cuihua Li:
Bi-GANs-ST for Perceptual Image Super-resolution. - Hitesh Golchha, Deepak Gupta, Asif Ekbal, Pushpak Bhattacharyya:
Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network. - V. Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages. - Cedric Scheerlinck, Nick Barnes, Robert E. Mahony:
Continuous-time Intensity Estimation Using Event Cameras. - Jörn-Henrik Jacobsen, Jens Behrmann, Richard S. Zemel, Matthias Bethge:
Excessive Invariance Causes Adversarial Vulnerability. - Herman Kamper:
Truly unsupervised acoustic word embeddings using weak top-down constraints in encoder-decoder models. - Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria:
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. - Ewin Tang:
Quantum-inspired classical algorithms for principal component analysis and supervised clustering. - Avanti Shrikumar, Katherine Tian, Anna Shcherbina, Ziga Avsec, Abhimanyu Banerjee, Mahfuza Sharmin, Surag Nair, Anshul Kundaje:
TF-MoDISco v0.4.4.2-alpha: Technical Note. - Raul-Jose Palma-Mendoza, Daniel Rodríguez, Luis de Marcos:
Distributed ReliefF based Feature Selection in Spark. - Christopher Iliffe Sprague, Özer Özkahraman, Andrea Munafò, Rachel Marlow, Alexander B. Phillips, Petter Ögren:
Improving the Modularity of AUV Control Systems using Behaviour Trees. - Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup:
Temporal Regularization in Markov Decision Process. - Jinyin Chen, Lihong Chen, Yixian Chen, Minghao Zhao, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
GA Based Q-Attack on Community Detection. - Haggai Roitman, Guy Feigenblat, David Konopnicki, Doron Cohen, Odellia Boni:
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization. - Nehal Doiphode, Rahul Mitra, Shuaib Ahmed, Arjun Jain:
An Improved Learning Framework for Covariant Local Feature Detection. - Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo:
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning. - Emad M. Grais, Hagen Wierstorf, Dominic Ward, Russell Mason, Mark D. Plumbley:
Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks. - Di Chen, Carla P. Gomes:
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. - Yue Li, Manolis Kellis:
A latent topic model for mining heterogenous non-randomly missing electronic health records data. - Yulin Hu, Xiaopeng Yuan, Jie Xu, Anke Schmeink:
Optimal 1D Trajectory Design for UAV-Enabled Multiuser Wireless Power Transfer. - Erika Lu, Weidi Xie, Andrew Zisserman:
Class-Agnostic Counting. - Gabriel Biscaro Cavallari, Leonardo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti:
Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis. - Xiaofan Xu, Mi Sun Park, Cormac Brick:
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices. - Denis Kuperberg, Anirban Majumdar:
Computing the Width of Non-deterministic Automata. - Ilias I. Giannakopoulos, Mikhail S. Litsarev, Athanasios G. Polimeridis:
Memory footprint reduction for the FFT-based volume integral equation method via tensor decompositions. - Ngoc-Tu Nguyen, Bing-Hong Liu, Shih-Yuan Wang:
On New Approaches of Maximum Weighted Target Coverage and Sensor Connectivity: Hardness and Approximation. - Alane Suhr, Stephanie Zhou, Iris Zhang, Huajun Bai, Yoav Artzi:
A Corpus for Reasoning About Natural Language Grounded in Photographs.