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ORCIDCoRR, June 2019
- Cassidy Laidlaw, Soheil Feizi:
Functional Adversarial Attacks. - Bryan O'Gorman:
Parameterization of tensor network contraction. - Heinrich Jiang, Maya R. Gupta:
Minimum-Margin Active Learning. - Rhys Beckett, Charith Perera:
IoT Skullfort: Exploring the Impact of Internet Connected Cosplay. - Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor:
Independent Component Analysis based on multiple data-weighting. - Elan Rosenfeld, Santosh S. Vempala, Manuel Blum:
Human-Usable Password Schemas: Beyond Information-Theoretic Security. - Stefano Cipolla, Carmine Di Fiore, Paolo Zellini:
A variation of Broyden Class methods using Householder adaptive transforms. - Stephanie M. Lukin
, Claire Bonial, Clare R. Voss:
Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes. - Mohammadali Asadi, Alexander Brandt, Robert H. C. Moir, Marc Moreno Maza, Yuzhen Xie:
On the Parallelization of Triangular Decomposition of Polynomial Systems. - Li Deng, Shuo Zhang, Krisztian Balog:
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval. - Li-yao Xia, Yannick Zakowski, Paul He, Chung-Kil Hur, Gregory Malecha, Benjamin C. Pierce, Steve Zdancewic:
Interaction Trees: Representing Recursive and Impure Programs in Coq (Work In Progress). - Colin Cherry, George F. Foster:
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation. - Kunal Swami, Kaushik Raghavan, Nikhilanj Pelluri, Rituparna Sarkar, Pankaj Bajpai:
DISCO: Depth Inference from Stereo using Context. - Amir Behjat, Krushang Gabani, Souma Chowdhury:
Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution. - FahimeSadat Mirhosseini, Andrea Pizzo, Luca Sanguinetti, Aliakbar Tadaion:
Spectral Efficiency Analysis in Dense Massive MIMO Networks. - Martin Klein, Lyudmila Balakireva, Harihar Shankar:
Evaluating Memento Service Optimizations. - Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio du Pin Calmon:
Optimized Score Transformation for Fair Classification. - Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. - Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu:
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. - Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert:
Balancing spreads of influence in a social network. - Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
IoT Network Security from the Perspective of Adversarial Deep Learning. - Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Scoring Sentence Singletons and Pairs for Abstractive Summarization. - Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. - Muhammad A. Masood, Finale Doshi-Velez:
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies. - Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy:
Deep Learning Recommendation Model for Personalization and Recommendation Systems. - Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. - Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, Nahil A. Sobh:
Prediction and optimization of mechanical properties of composites using convolutional neural networks. - Bonggun Shin, Hao Yang, Jinho D. Choi:
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. - Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. - Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. - Jeffrey M. Hokanson, Paul G. Constantine:
The Lipschitz Matrix: A Tool for Parameter Space Dimension Reduction. - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan:
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving. - Gautham Krishna Gudur, Prahalathan Sundaramoorthy, Venkatesh Umaashankar:
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition. - Krishnendu Chatterjee, Laura Schmid, Stefan Schmid:
The Evolutionary Price of Anarchy: Locally Bounded Agents in a Dynamic Virus Game. - Armin Seyeditabari, Narges Tabari, Shafie Gholizadeh, Wlodek Zadrozny:
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words. - Tomás Musil:
Examining Structure of Word Embeddings with PCA. - Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri:
Model Agnostic Contrastive Explanations for Structured Data. - Hongfu Liu, Zhiqiang Tao, Zhengming Ding:
Consensus Clustering: An Embedding Perspective, Extension and Beyond. - Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. - Oskar Elek, Manu Mathew Thomas, Angus G. Forbes:
Learning Patterns in Sample Distributions for Monte Carlo Variance Reduction. - Søren Taverniers, Daniel M. Tartakovsky:
Estimation of distributions via multilevel Monte Carlo with stratified sampling. - Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama:
Multi-objective Bayesian Optimization using Pareto-frontier Entropy. - Boli Fang, Miao Jiang, Jerry Shen:
Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction. - Arsh Javed Rehman, Pradeep Tomar:
Decision-Making in Reinforcement Learning. - Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang:
ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands. - Titas Bera, M. Seetharama Bhat, Debasish Ghose:
Analysis of Obstacle based Probabilistic RoadMap Method using Geometric Probability. - Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations. - Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi:
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization. - Zhengyang Shen, François-Xavier Vialard, Marc Niethammer:
Region-specific Diffeomorphic Metric Mapping. - Soroush Ebadian, Xin Huang:
Fast Algorithm for K-Truss Discovery on Public-Private Graphs. - Ilia Kulikov, Jason Lee, Kyunghyun Cho:
Multi-Turn Beam Search for Neural Dialogue Modeling. - Alexander Brandt, Davood Mohajerani, Marc Moreno Maza, Jeeva Paudel, Lin-Xiao Wang:
A Technique for Finding Optimal Program Launch Parameters Targeting Manycore Accelerators. - Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty:
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. - Qian Lou, Lei Jiang:
SHE: A Fast and Accurate Privacy-Preserving Deep Neural Network Via Leveled TFHE and Logarithmic Data Representation. - Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang:
Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. - Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems. - Dongrui Wu, Jerry M. Mendel:
Patch Learning. - Jian Liu, Naveed Akhtar, Ajmal Mian:
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video. - Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik:
Synthesizing Datalog Programs Using Numerical Relaxation. - Saad Sajid Hashmi, Muhammad Ikram, Mohamed Ali Kâafar:
A Longitudinal Analysis of Online Ad-Blocking Blacklists. - Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag:
Automated Machine Learning with Monte-Carlo Tree Search (Extended Version). - Diego Calvanese, Davide Lanti, Ana Ozaki, Rafael Peñaloza, Guohui Xiao:
Enriching Ontology-based Data Access with Provenance (Extended Version). - Mathijs Mul, Willem H. Zuidema:
Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization. - Jianxin Lin, Yijun Wang, Yingce Xia, Tianyu He, Zhibo Chen:
Learning to Transfer: Unsupervised Meta Domain Translation. - Yansong Gao, Jie Zhang:
Average-case Analysis of the Assignment Problem with Independent Preferences. - Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen:
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. - Yong Liu, Xuehan Chen, Lin X. Cai, Qingchun Chen, Ruoting Gong, Dong Tang:
On the Fairness Performance of NOMA-based Wireless Powered Communication Networks. - Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama:
Are Anchor Points Really Indispensable in Label-Noise Learning? - Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls:
Neural Replicator Dynamics. - William S. Evans, Noushin Saeedi:
On problems related to crossing families. - Xi Zheng, Sheng Zhou, Zhiyuan Jiang, Zhisheng Niu:
Closed-Form Analysis of Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter. - Mohammad Pirhooshyaran, Lawrence V. Snyder:
Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks. - Antonio Brogi, Stefano Forti, Federica Paganelli:
Probabilistic QoS-aware Placement of VNF chains at the Edge. - Sid Ahmed Fezza, Yassine Bakhti, Wassim Hamidouche, Olivier Déforges:
Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification. - Iulia M. Comsa, Moritz Firsching, Thomas Fischbacher:
SO(8) Supergravity and the Magic of Machine Learning. - Khaled El Madawy, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Kumar Yogamani:
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving. - Tom Jurgenson, Aviv Tamar:
Harnessing Reinforcement Learning for Neural Motion Planning. - Duc Tam Nguyen, Thi-Phuong-Nhung Ngo, Zhongyu Lou, Michael Klar, Laura Beggel, Thomas Brox:
Robust Learning Under Label Noise With Iterative Noise-Filtering. - René Haberland, Kirill Krinkin, Sergey Ivanovskiy:
Abstract Predicate Entailment over Points-To Heaplets is Syntax Recognition. - Chuan-Chi Lai, Tien-Chun Wang, Chuan-Ming Liu, Li-Chun Wang:
Probabilistic Top-k Dominating Query Monitoring over Multiple Uncertain IoT Data Streams in Edge Computing Environments. - Weidong Mei, Rui Zhang:
Cooperative Downlink Interference Transmission and Cancellation for Cellular-Connected UAV: A Divide-and-Conquer Approach. - Davide Illiano, Iuliu Sorin Pop, Florin Adrian Radu:
Iterative schemes for surfactant transport in porous media. - Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon:
Approximate Quantiles for Datacenter Telemetry Monitoring. - Minghao Gu, Shiliang Sun:
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling. - Rahul Singh, Maneesh Sahani, Arthur Gretton:
Kernel Instrumental Variable Regression. - Atreyee Kundu:
A new characterization of stabilizing cycles for switched linear systems. - Alon Rozental:
Adversarial Generation and Encoding of Nested Texts. - H. M. N. Dilum Bandara, Xiwei Xu, Ingo Weber:
Patterns for Blockchain Migration. - Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern:
Network Formation under Random Attack and Probabilistic Spread. - Hong-Ning Dai, Zibin Zheng, Yan Zhang:
Blockchain for Internet of Things: A Survey. - Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. - Junjie Huang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Maosong Sun:
COS960: A Chinese Word Similarity Dataset of 960 Word Pairs. - Christina Ilvento:
Metric Learning for Individual Fairness. - Ivan Kiskin, Udeepa Meepegama, Steven Roberts:
Super-resolution of Time-series Labels for Bootstrapped Event Detection. - Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang:
Enhancing Transformation-based Defenses using a Distribution Classifier. - Roi Livni, Yishay Mansour:
Graph-based Discriminators: Sample Complexity and Expressiveness. - Sedat Ozer:
Parametric Shape Modeling and Skeleton Extraction with Radial Basis Functions using Similarity Domains Network. - Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang:
How to best use Syntax in Semantic Role Labelling. - Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song:
GLAD: Learning Sparse Graph Recovery. - Nabil Hossain, John Krumm, Michael Gamon:
"President Vows to Cut Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines. - Yinchuan Li, Xiaodong Wang, Zegang Ding:
Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM. - Joel Mathew, Shobeir Fakhraei, José Luis Ambite:
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping. - Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira:
Learning to Generate Grounded Image Captions without Localization Supervision. - Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong:
Proportional Fair RAT Aggregation in HetNets. - Ursula Challita, Kimmo Hiltunen, Miurel Tercero:
Performance Evaluation for the Co-existence of eMBB and URLLC Networks: Synchronized versus Unsynchronized TDD. - Saeed Masoudian, Ali Arabzadeh, Mahdi Jafari Siavoshani, Milad Jalal, Alireza Amouzad:
Adaptive Online Learning for Gradient-Based Optimizers. - Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru:
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. - Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu:
On the computational complexity of the probabilistic label tree algorithms. - Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. - Vassos Hadzilacos, Xing Hu, Sam Toueg:
Optimal Register Construction in M&M Systems. - Frances Ann Hubis, Wentao Wu, Ce Zhang:
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter. - Kenton Lee, Ming-Wei Chang, Kristina Toutanova:
Latent Retrieval for Weakly Supervised Open Domain Question Answering. - Yifan Sun, Yaqi Duan, Hao Gong, Mengdi Wang:
Learning low-dimensional state embeddings and metastable clusters from time series data. - Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi:
Active Learning for Binary Classification with Abstention. - Andrew Habib, Michael Pradel:
Neural Bug Finding: A Study of Opportunities and Challenges. - Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli:
Smoothing Structured Decomposable Circuits. - Sinan Ariyurek, Aysu Betin-Can, Elif Sürer:
Automated Video Game Testing Using Synthetic and Human-Like Agents. - Matan Eyal, Tal Baumel, Michael Elhadad:
Question Answering as an Automatic Evaluation Metric for News Article Summarization. - Andrej Bogdanov, Nikhil S. Mande, Justin Thaler, Christopher Williamson:
Approximate degree, secret sharing, and concentration phenomena. - Pareesa Ameneh Golnari, Sharad Malik:
Sparse Matrix to Matrix Multiplication: A Representation and Architecture for Acceleration (long version). - (Withdrawn) Finite difference/spectral approximations for the two-dimensional time Caputo-Fabrizio fractional diffusion equation.
- Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li:
Incremental Few-Shot Learning for Pedestrian Attribute Recognition. - Tianyi Lin, Chi Jin, Michael I. Jordan:
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems. - Haekyu Park, Fred Hohman, Duen Horng Chau:
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. - Christian Cosgrove, Alan L. Yuille:
Adversarial Examples for Edge Detection: They Exist, and They Transfer. - Alex Irpan, Xingyou Song:
The Principle of Unchanged Optimality in Reinforcement Learning Generalization. - Piotr Indyk, Ali Vakilian, Tal Wagner, David P. Woodruff:
Sample-Optimal Low-Rank Approximation of Distance Matrices. - Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. - Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. - Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. - Mohammad Ostadijafari, Anamika Dubey:
Linear Model-Predictive Controller (LMPC) for Building's Heating Ventilation and Air Conditioning (HVAC) System. - Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren:
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat. - Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, Wangmeng Zuo:
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching. - Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin:
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. - Mohammad Ostadijafari, Anamika Dubey, Yang Liu, Jie Shi, Nanpeng Yu:
Smart Building Energy Management using Nonlinear Economic Model Predictive Control. - Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao:
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation. - Lasitha Uyangoda, Supunmali Ahangama, Tharindu Ranasinghe:
User Profile Feature-Based Approach to Address the Cold Start Problem in Collaborative Filtering for Personalized Movie Recommendation. - Bruce Belson, Jason Holdsworth, Wei Xiang, Bronson Philippa:
A Survey of Asynchronous Programming Using Coroutines in the Internet of Things and Embedded Systems. - Abuthahir, Nizar Malangadan, Gaurav Raina:
Effect of two forms of feedback on the performance of the Rate Control Protocol (RCP). - Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell:
Domain Adaptation of Neural Machine Translation by Lexicon Induction. - Feng Mao, Xiang Wu, Hui Xue, Rong Zhang:
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. - Shizhe Chen, Qin Jin, Alexander G. Hauptmann:
Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data. - Aditya MVS, Harsh Pancholi, P. Priyanka, Gaurav S. Kasbekar:
Beyond the VCG Mechanism: Truthful Reverse Auctions for Relay Selection with High Data Rates, High Base Station Utility and Low Interference in D2D Networks. - Xiaolei Fang, Jinquan Luo:
Two Classes of New MDS Self-dual Codes over Finite Fields. - Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso:
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning. - Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. - Lei Tong, Xiangrong Zhang, Qianni Zhang, Abdul Hamid Sadka, Ling Li, Huiyu Zhou:
Inverse boosting pruning trees for depression detection on Twitter. - Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu:
Multi-objective Pruning for CNNs using Genetic Algorithm. - Jun Zhang, Khaled Ben Letaief:
Mobile Edge Intelligence and Computing for the Internet of Vehicles. - Ayush Datta, Rahul Tallamraju, Kamalakar Karlapalem:
Multiple Drones driven Hexagonally Partitioned Area Exploration: Simulation and Evaluation. - Zhun Fan, Zhaojun Wang, Wenji Li, Yutong Yuan, Yugen You, Zhi Yang, Fuzan Sun, Jie Ruan, Zhaocheng Li:
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems. - Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Domain Adaptive Inference for Neural Machine Translation. - Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek:
Learning Domain Randomization Distributions for Transfer of Locomotion Policies. - Serhad Sarica, Jianxi Luo, Kristin L. Wood:
Technology Knowledge Graph Based on Patent Data. - Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, Maxine Eskénazi:
Pretraining Methods for Dialog Context Representation Learning. - Anupam Gupta, Euiwoong Lee, Jason Li:
The Number of Minimum k-Cuts: Improving the Karger-Stein Bound. - Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi:
Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots. - Abi Komanduru, Jean Honorio:
On the Correctness and Sample Complexity of Inverse Reinforcement Learning. - Zeyu Jia, Lin F. Yang, Mengdi Wang:
Feature-Based Q-Learning for Two-Player Stochastic Games. - Laura Manor, Junyi Jessy Li:
Plain English Summarization of Contracts. - Ronen Basri, David W. Jacobs, Yoni Kasten, Shira Kritchman:
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies. - Igor A. Semaev:
New non-linearity parameters of Boolean functions. - Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla:
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. - Sajid Nisar, Melisa Orta Martinez, Takahiro Endo, Fumitoshi Matsuno, Allison M. Okamura:
Effects of Different Hand-Grounding Locations on Haptic Performance With a Wearable Kinesthetic Haptic Device. - Xingyou Song, Yilun Du, Jacob Jackson:
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization. - Ting-En Lin, Hua Xu:
Deep Unknown Intent Detection with Margin Loss. - Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown:
Dimensionality compression and expansion in Deep Neural Networks. - Ali Razavi, Aäron van den Oord, Oriol Vinyals:
Generating Diverse High-Fidelity Images with VQ-VAE-2. - Kevin Bello, Asish Ghoshal, Jean Honorio:
Minimax bounds for structured prediction. - Kevin Bello, Jean Honorio:
Exact inference in structured prediction. - Michal Koziarski:
Radial-Based Undersampling for Imbalanced Data Classification. - Saeed Khaki, Zahra Khalilzadeh:
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach. - Vladislav Gennadievich Malyshkin:
On The Radon-Nikodym Spectral Approach With Optimal Clustering. - Matheus A. Cavalcante, Fabian Schuiki, Florian Zaruba, Michael Schaffner, Luca Benini:
Ara: A 1 GHz+ Scalable and Energy-Efficient RISC-V Vector Processor with Multi-Precision Floating Point Support in 22 nm FD-SOI. - Mohsen Ghaffari, Fabian Kuhn:
On the Use of Randomness in Local Distributed Graph Algorithms. - Geunseob Oh, Huei Peng:
Longitudinal Trajectory Prediction of Human-driven Vehicles Near Traffic Lights. - Romolo Marotta, Davide Tiriticco, Pierangelo di Sanzo, Alessandro Pellegrini, Bruno Ciciani, Francesco Quaglia:
Mutable Locks: Combining the Best of Spin and Sleep Locks. - Naiyang Guan, Tongliang Liu, Yangmuzi Zhang, Dacheng Tao, Larry S. Davis:
Truncated Cauchy Non-negative Matrix Factorization. - Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen:
Budgeted Policy Learning for Task-Oriented Dialogue Systems. - Sashank Santhanam, Samira Shaikh:
A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions. - Chidubem Arachie, Bert Huang:
An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. - Jialin Wu, Zeyuan Hu, Raymond J. Mooney:
Generating Question Relevant Captions to Aid Visual Question Answering. - Zhengyu Ma, Tianjiao Qi, James Route, Amir Ziai:
Mining Data from the Congressional Record. - Dylan J. Foster, Akshay Krishnamurthy, Haipeng Luo:
Model selection for contextual bandits. - Aishwarya Bhandare, Vamsi Sripathi, Deepthi Karkada, Vivek Menon, Sun Choi, Kushal Datta, Vikram A. Saletore:
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model. - Xiao Zhang, Dan Goldwasser:
Sentiment Tagging with Partial Labels using Modular Architectures. - Igor Borovikov, Jesse Harder, Michael G. Sadovsky, Ahmad Beirami:
Towards Interactive Training of Non-Player Characters in Video Games. - Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon:
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder. - Enrique Otárola:
An adaptive finite element method for the sparse optimal control of fractional diffusion. - Jiseob Kim, Seungjae Jung, Hyundo Lee, Byoung-Tak Zhang:
Encoder-Powered Generative Adversarial Networks. - Yudong Guo, Luo Jiang, Lin Cai, Juyong Zhang:
3D Magic Mirror: Automatic Video to 3D Caricature Translation. - Zhaoqun Li, Cheng Xu, Biao Leng:
Rethinking Loss Design for Large-scale 3D Shape Retrieval. - Kalpant Pathak, Adrish Banerjee:
Harvest-or-Transmit Policy for Cognitive Radio Networks: A Learning Theoretic Approach. - Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu:
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment. - Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su:
Global Textual Relation Embedding for Relational Understanding. - Gengyu Lyu, Songhe Feng, Yi Jin, Guojun Dai, Congyan Lang, Yidong Li:
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. - Zhen Zhang, Fan Wu, Wee Sun Lee:
Factor Graph Neural Network. - Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang:
Adversarially Robust Generalization Just Requires More Unlabeled Data. - Elizabeth Salesky, Matthias Sperber, Alex Waibel:
Fluent Translations from Disfluent Speech in End-to-End Speech Translation. - Qianru Sun, Xinzhe Li, Yaoyao Liu, Shibao Zheng, Tat-Seng Chua, Bernt Schiele:
Learning to Self-Train for Semi-Supervised Few-Shot Classification. - Noriki Fujisato, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Direct Linear Time Construction of Parameterized Suffix and LCP Arrays for Constant Alphabets. - Chongyang Bai, Tommy White, Linda Xiao, V. S. Subrahmanian, Ziheng Zhou:
C2P2: A Collective Cryptocurrency Up/Down Price Prediction Engine. - Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. - Aidin Ferdowsi, Walid Saad:
Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things. - Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan:
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards. - Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang:
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization. - Harm van Seijen, Mehdi Fatemi, Arash Tavakoli:
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. - Alex Pappachen James:
An overview of memristive cryptography. - Hai Ye, Wenjie Li, Lu Wang:
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. - Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic:
Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise. - Johanes Effendi, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
From Speech Chain to Multimodal Chain: Leveraging Cross-modal Data Augmentation for Semi-supervised Learning. - Hongyu Zang, Xiaojun Wan:
Massive Styles Transfer with Limited Labeled Data. - Pooja Vyavahare, D. Manjunath, Jayakrishnan Nair:
Sponsored data with ISP competition. - Hongyu Zang, Xiaojun Wan:
A Semi-Supervised Approach for Low-Resourced Text Generation. - Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari:
Discovering Neural Wirings. - Xin Qiu, Elliot Meyerson, Risto Miikkulainen:
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. - Yuan Hu, Yingtian Zou, Jiashi Feng:
Panoptic Edge Detection. - Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. - Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Assessing the Ability of Self-Attention Networks to Learn Word Order. - Athira Subhash, Muralikrishnan Srinivasan, Sheetal Kalyani, Lajos Hanzo:
Transmit Power Policy and Ergodic Multicast Rate Analysis of Cognitive Radio Networks in Generalized Fading. - Xuelun Shen, Cheng Wang, Xin Li, Zenglei Yu, Jonathan Li, Chenglu Wen, Ming Cheng, Zijian He:
RF-Net: An End-to-End Image Matching Network based on Receptive Field. - Manish R. Joshi, Sangeeta Jadhav:
An Extensive Review of Computational Dance Automation Techniques and Applications. - Evgenija D. Popova:
On a class of parameterized solutions to interval parametric linear systems. - Christophe Moy, Lilian Besson:
Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation. - Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis:
Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. - Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman:
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. - Arun Jambulapati, Aaron Sidford, Kevin Tian:
A Direct Õ(1/ε) Iteration Parallel Algorithm for Optimal Transport. - Jayashree Karlekar, Jiashi Feng, Zi Sian Wong, Sugiri Pranata:
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation. - Domenico Cotroneo, Antonio Ken Iannillo, Roberto Natella:
Evolutionary Fuzzing of Android OS Vendor System Services. - Michael Benedikt, Pierre Bourhis, Louis Jachiet, Michaël Thomazo:
Reasoning about disclosure in data integration in the presence of source constraints. - Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor:
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. - Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid p-values for Image Segmentation by Selective Inference. - Christelle Mariais, David Roche, Laurence Farhi, Sabrina Barnabé, Sonia Cruchon, Sophie de Quatrebarbes, Thierry Viéville:
Peut-on former les enseignant·e·s en un rien de temps ? - Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
How Much Does Audio Matter to Recognize Egocentric Object Interactions? - Kiera van der Sande, Bengt Fornberg:
Fast variable density 3-D node generation. - Feng Liao, Hankz Hankui Zhuo, Xiaoling Huang, Yu Zhang:
Federated Hierarchical Hybrid Networks for Clickbait Detection. - Peichen Xie, Bingzhe Wu, Guangyu Sun:
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. - Fangqing Liu, Hui Chen, Liyue Zhao, Hao Wu:
Discriminative adversarial networks for positive-unlabeled learning. - Corinne Atlan, Jean-Pierre Archambault, Olivier Banus, Frédéric Bardeau, Amélie Blandeau, Antonin Cois, Martine Courbin, Gérard Giraudon, Saint-Clair Lefèvre, Valérie Letard, Bastien Masse, Florent Masseglia, Benjamin Ninassi, Sophie de Quatrebarbes, Margarida Romero, Didier Roy, Thierry Viéville:
Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s. - Thibaud Ehret:
Robust copy-move forgery detection by false alarms control. - Zhepei Wang, Y. Cem Sübakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin:
Continual Learning of New Sound Classes using Generative Replay. - Heimo Müller, Andreas Holzinger:
Kandinsky Patterns. - Till Fluschnik, Rolf Niedermeier, Valentin Rohm, Philipp Zschoche:
Multistage Vertex Cover. - Jens Schreiber, Maik Jessulat, Bernhard Sick:
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. - Jakob Prange, Nathan Schneider, Omri Abend:
Semantically Constrained Multilayer Annotation: The Case of Coreference. - Jarkko Peltomäki, Markus A. Whiteland:
Every nonnegative real number is an abelian critical exponent. - Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang:
A Closed-form Solution to Universal Style Transfer. - Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin:
Nonstochastic Multiarmed Bandits with Unrestricted Delays. - Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Neural Generative Semantic Hashing. - Mutian He, Yan Deng, Lei He:
Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS. - Azeem Ahmad, Ola Leifler, Kristian Sandahl:
Empirical Analysis of Factors and their Effect on Test Flakiness - Practitioners' Perceptions. - Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Contextually Propagated Term Weights for Document Representation. - Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao:
Deeply-supervised Knowledge Synergy. - Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha, Mounir Hamdi:
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks? - Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin:
DANE: Domain Adaptive Network Embedding. - Canran Xu, Ruijiang Li:
Relation Embedding with Dihedral Group in Knowledge Graph. - Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen:
NeuralVis: Visualizing and Interpreting Deep Learning Models. - Johannes von Oswald, Christian Henning, João Sacramento, Benjamin F. Grewe:
Continual learning with hypernetworks. - Xiaoyu Shi, Benedetta Tondi, Bin Li, Mauro Barni:
CNN-based Steganalysis and Parametric Adversarial Embedding: a Game-Theoretic Framework. - Emilio Rafael Balda, Arash Behboodi, Niklas Koep, Rudolf Mathar:
Adversarial Risk Bounds for Neural Networks through Sparsity based Compression. - Chihiro Noguchi, Tatsuro Kawamoto:
Evaluating network partitions through visualization. - Yasir Mahmood, Arne Meier, Johannes Schmidt:
Parameterised Complexity for Abduction. - Arindam Sikdar, Ananda S. Chowdhury:
An Adaptive Training-less System for Anomaly Detection in Crowd Scenes. - Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo, Seung Park, Sung-Jea Ko:
cGANs with Conditional Convolution Layer. - Nils Henrik Risebro, Adrian Montgomery Ruf:
Numerical investigations into a model of partially incompressible two-phase flow in pipes. - Suzhi Bi, Liang Huang, Ying-Jun Angela Zhang:
Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing System. - Thorsten Ehlers, Florin Manea, Dirk Nowotka, Kamellia Reshadi:
On Modelling the Avoidability of Patterns as CSP. - Junlong Gao, Xi Meng, Shiqi Wang, Xia Li, Shanshe Wang, Siwei Ma, Wen Gao:
Masked Non-Autoregressive Image Captioning. - Yusuke Aoki, Kazuyuki Shudo:
Proximity Neighbor Selection in Blockchain Networks. - Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt:
Topological Autoencoders. - Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. - David Álvarez, Santiago Pascual, Antonio Bonafonte:
Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN. - Yunfei Liu, Feng Lu:
Separate from Observation: Unsupervised Single Image Layer Separation. - Jan Laermann, Wojciech Samek, Nils Strodthoff:
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. - Nicki Holighaus, Günther Koliander, Zdenek Prusa, Luís Daniel Abreu:
Characterization of Analytic Wavelet Transforms and a New Phaseless Reconstruction Algorithm. - Mathias Strufe, Michael Gundall, Hans D. Schotten, Christian Markwart, Rakash S. Ganesan, Markus Aleksy:
Design of a 5G Ready and Reliable Architecture for the Smart Factory of the Future. - Shuping Dang, Osama Amin, Basem Shihada, Mohamed-Slim Alouini:
From a Human-Centric Perspective: What Might 6G Be? - Masahiro Kaneko, Danushka Bollegala:
Gender-preserving Debiasing for Pre-trained Word Embeddings. - Nof Abuzainab, Walid Saad, Allen B. MacKenzie:
Distributed Uplink Power Control in an Ultra-Dense Millimeter Wave Network: A Mean-field Game Approach. - Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis:
Hierarchical Decision Making by Generating and Following Natural Language Instructions. - Karan Khathuria, Joachim Rosenthal, Violetta Weger:
Encryption Scheme Based on Expanded Reed-Solomon Codes. - Kazuki Takamura, Satoshi Yamane:
Improving Minimal Gated Unit for Sequential Data. - Seyedeh Negar Afrasiabi, Somayeh Kianpisheh, Carla Mouradian, Roch H. Glitho, Ashok Moghe:
Application Components Migration in NFV-based Hybrid Cloud/Fog Systems. - Elena Cipressi, Maria Luisa Merani:
Effects of Packet Loss and Jitter on VoLTE Call Quality. - Usman Nazir:
Accurate Localization in Wireless Sensor Networks in the Presence of Cross Technology Interference. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
A gender analysis of top scientists' collaboration behavior: evidence from Italy. - Yafei Zhang, Lin Wang, Jonathan J. H. Zhu, Xiaofan Wang, Alex 'Sandy' Pentland:
The Strength of Structural Diversity in Online Social Networks. - Michele Botti, Daniele A. Di Pietro, Pierre Sochala:
A high-order discretization of nonlinear poroelasticity. - Abu Sufian, Anuradha Banerjee, Paramartha Dutta:
Fuzzy-Controlled Scheduling of Route-Request Packets (FSRR) in Mobile Ad Hoc Networks. - Abu Banerjee, Paramartha Dutta, Anuradha Sufian:
Fuzzy Route Switching For Energy Preservation (FEP) in Ad Hoc Networks. - Joshua Moerman, Jurriaan Rot:
Separation and Renaming in Nominal Sets. - Tomás Pevný, Vojtech Kovarík:
Approximation capability of neural networks on spaces of probability measures and tree-structured domains. - Luca Aceto, Antonis Achilleos, Adrian Francalanza, Anna Ingólfsdóttir, Karoliina Lehtinen:
An Operational Guide to Monitorability. - Yue Xu, Wenjun Xu, Zhi Wang, Jiaru Lin, Shuguang Cui:
Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach. - Donald J. Bucci Jr., Pramod K. Varshney:
Decentralized Multi-target Tracking in Urban Environments: Overview and Challenges. - Oscar J. Romero:
Dynamic Service Composition Orchestrated by Cognitive Agents in Mobile & Pervasive Computing. - Weisen Shi, Junling Li, Nan Cheng, Feng Lyu, Yanpeng Dai, Haibo Zhou, Xuemin Shen:
3D Multi-Drone-Cell Trajectory Design for Efficient IoT Data Collection. - Weisen Shi, Junling Li, Nan Cheng, Feng Lyu, Shan Zhang, Haibo Zhou, Xuemin Shen:
Multi-Drone 3D Trajectory Planning and Scheduling in Drone Assisted Radio Access Networks. - Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
Learning Semantic Annotations for Tabular Data. - Paul Wild, Lutz Schröder, Dirk Pattinson, Barbara König:
A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic. - Jürgen Dölz, Helmut Harbrecht, Stefan Kurz, Michael D. Multerer, Sebastian Schöps, Felix Wolf:
Bembel: The Fast Isogeometric Boundary Element C++ Library for Laplace, Helmholtz, and Electric Wave Equation. - Subrahmanyam Vaddi, Chandan Kumar, Ali Jannesari:
Efficient Object Detection Model for Real-Time UAV Applications. - Mounica Maddela, Wei Xu, Daniel Preotiuc-Pietro:
Multi-task Pairwise Neural Ranking for Hashtag Segmentation. - Agoritsa Polyzou, George Karypis:
Grade prediction with course and student specific models. - Joan Serrà, Santiago Pascual, Carlos Segura:
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion. - Bernd Finkbeiner, Christopher Hahn, Marvin Stenger, Leander Tentrup:
RVHyper: A Runtime Verification Tool for Temporal Hyperproperties. - Artem Artemov, Ivan Bolokhov, D. Kem, I. Khasenevich:
Neural Network-based Object Classification by Known and Unknown Features (Based on Text Queries). - Thomas Robert, Nicolas Thome, Matthieu Cord:
DualDis: Dual-Branch Disentangling with Adversarial Learning. - Jichao Zhang, Meng Sun, Jingjing Chen, Hao Tang, Yan Yan, Xueying Qin, Nicu Sebe:
GazeCorrection: Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks. - Travis Gagie, Tomohiro I, Giovanni Manzini, Gonzalo Navarro, Hiroshi Sakamoto, Yoshimasa Takabatake:
Rpair: Rescaling RePair with Rsync. - Helin Gong, Yvon Maday, Olga Mula, Tommaso Taddei:
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation. - Anas Shatnawi, Hafedh Mili, Manel Abdellatif, Yann-Gaël Guéhéneuc, Naouel Moha, Geoffrey Hecht, Ghizlane El-Boussaidi, Jean Privat:
Static Code Analysis of Multilanguage Software Systems. - Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. - Anna M. Kruspe:
One-Way Prototypical Networks. - Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda:
Data-driven Estimation of Sinusoid Frequencies. - Alban Laflaquière, Verena V. Hafner:
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction. - Juntao Huang, Yingda Cheng:
An adaptive multiresolution discontinuous Galerkin method with artificial viscosity for scalar hyperbolic conservation laws in multidimensions. - Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan:
DAWN: Dynamic Adversarial Watermarking of Neural Networks. - Maruthi Rohit Ayyagari:
Cache Contention on Multicore Systems: An Ontology-based Approach. - Sandeep Attree:
Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling. - Ihab Mohammed, Shadha Tabatabai, Ala I. Al-Fuqaha, Junaid Qadir:
Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure. - Johannes Christian Thiele, Olivier Bichler, Antoine Dupret:
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes. - Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee:
Hierarchical Auxiliary Learning. - Philip N. Brown:
Designing for Emergent Security in Heterogeneous Human-Machine Teams. - Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Deep Reasoning Networks: Thinking Fast and Slow. - David Aristoff:
An ergodic theorem for weighted ensemble. - Niclas Kannengießer, Sebastian Lins, Tobias Dehling, Ali Sunyaev:
Mind the Gap: Trade-Offs between Distributed Ledger Technology Characteristics. - Abdelrahman Manna, Mouhammd Alkasassbeh:
Detecting network anomalies using machine learning and SNMP-MIB dataset with IP group. - Yousef Khaled Shaheen, Mohammad Al Kasassbeh:
A Proactive Design to Detect Denial of Service Attacks Using SNMP-MIB ICMP Variables. - Ahmed Hambouz, Mouhammd Alkasassbeh:
Network Attacks Anomaly Detection Using SNMP MIB Interface Parameters. - Shizhe Chen, Qin Jin, Jianlong Fu:
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots. - Rocío Carratalá-Sáez, Sven Christophersen, José Ignacio Aliaga, Vicenç Beltran, Steffen Börm, Enrique S. Quintana-Ortí:
Exploiting nested task-parallelism in the H-LU factorization. - Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk:
Pangloss: a novel Markov chain prefetcher. - Erik Burman, Cuiyu He, Mats G. Larson:
A Posteriori Error Estimates with Boundary Correction for a Cut Finite Element Method. - Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Zhenyu Xie, Bowen Wu, Ziqi Zhang, Xiaohui Shen, Jian Yin:
Fashion Editing with Multi-scale Attention Normalization. - Chunyan Niu, Hongxing Rui, Xiaozhe Hu:
A Stabilized Hybrid Mixed Finite Element Method for Poroelasticity. - Yanjie Dong, Julian Cheng, Md. Jahangir Hossain, Victor C. M. Leung:
Secure Distributed On-Device Learning Networks With Byzantine Adversaries. - Mauro Franceschelli, Paolo Frasca:
Stability of Open Multi-Agent Systems and Applications to Dynamic Consensus. - Zhun Fan, Jiewei Lu, Benzhang Qiu, Tao Jiang, Kang An, Alex Noel Joseph Raj, Chuliang Wei:
Automated Steel Bar Counting and Center Localization with Convolutional Neural Networks. - Abigail Garrett, Naeemul Hassan:
Understanding the Silence of Sexual Harassment Victims Through the #WhyIDidntReport Movement. - Naeemul Hassan, Manash Kumar Mandal, Mansurul Bhuiyan, Aparna Moitra, Syed Ishtiaque Ahmed:
Can Women Break the Glass Ceiling?: An Analysis of #MeToo Hashtagged Posts on Twitter. - Chenyang Zhang, Christine Kaeser-Chen, Grace Vesom, Jennie Choi, Maria Kessler, Serge J. Belongie:
The iMet Collection 2019 Challenge Dataset. - Cristiano Chesi:
Phase-based Minimalist Parsing and complexity in non-local dependencies. - Philip Bachman, R. Devon Hjelm, William Buchwalter:
Learning Representations by Maximizing Mutual Information Across Views. - Georg Krempl, Dominik Lang, Vera Hofer:
Temporal Density Extrapolation using a Dynamic Basis Approach. - Tifenn Hirtzlin, Bogdan Penkovsky, Marc Bocquet, Jacques-Olivier Klein, Jean-Michel Portal, Damien Querlioz:
Stochastic Computing for Hardware Implementation of Binarized Neural Networks. - Jeffrey Uhlmann:
Software Adaptation and Generalization of Physically-Constrained Games. - Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard:
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. - Michael Fromm, Evgeniy Faerman, Thomas Seidl:
TACAM: Topic And Context Aware Argument Mining. - Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool:
3D Appearance Super-Resolution with Deep Learning. - Katrina Ligett, Moshe Shenfeld:
A necessary and sufficient stability notion for adaptive generalization. - Jeffrey Uhlmann, Jie Wang:
On Radically Expanding the Landscape of Potential Applications for Automated Proof Methods. - Miguel Alonso Jr.:
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images. - Hafedh Mili, Ghizlane El-Boussaidi, Anas Shatnawi, Yann-Gaël Guéhéneuc, Naouel Moha, Jean Privat, Petko Valtchev:
Service-Oriented Re-engineering of Legacy JEE Applications: Issues and Research Directions. - Feiyu Chen, Yuchen Yang, Liwei Xu, Taiping Zhang, Yin Zhang:
Big-Data Clustering: K-Means or K-Indicators? - Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA. - Aviral Kumar, Justin Fu, George Tucker, Sergey Levine:
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction. - Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches. - Vincent Guigues:
A library to compute the density of the distance between a point and a random variable uniformly distributed in some sets. - Zsolt Levente Kucsván:
Comparing two- and three-view Computer Vision. - Yan Zhang, Krikamol Muandet, Qianli Ma, Heiko Neumann, Siyu Tang:
Low-rank Random Tensor for Bilinear Pooling. - Ian D. Jordan, Piotr Aleksander Sokól, Il Memming Park:
Gated recurrent units viewed through the lens of continuous time dynamical systems. - Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis:
Optimal Learning of Mallows Block Model. - Glorianna Jagfeld:
A computational linguistic study of personal recovery in bipolar disorder. - Hilde Kuehne, Ahsan Iqbal, Alexander Richard, Juergen Gall:
Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data. - Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, Tudor Dumitras:
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks. - Saeed Vahidian, Alexander Cloninger, Baharan Mirzasoleiman:
Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization. - Louis Jensen, Jacob Harer, Sang Chin:
NodeDrop: A Condition for Reducing Network Size without Effect on Output. - Hilde Kuehne, Alexander Richard, Juergen Gall:
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. - Yichen Yang, Martin C. Rinard:
Correctness Verification of Neural Networks. - Yujie Gu, Minquan Cheng, Grigory Kabatiansky, Ying Miao:
Probabilistic Existence Results for Parent-Identifying Schemes. - Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A Language-Agnostic Model for Semantic Source Code Labeling. - Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber:
A Perspective on Objects and Systematic Generalization in Model-Based RL. - Terra Blevins, Luke Zettlemoyer:
Better Character Language Modeling Through Morphology. - Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
Transforming Complex Sentences into a Semantic Hierarchy. - Guruprasad Raghavan, Matt Thomson:
Neural networks grown and self-organized by noise. - Melody Y. Guan, Gregory Valiant:
A Surprising Density of Illusionable Natural Speech. - Junxiang Chen, Kayhan Batmanghelich:
Weakly Supervised Disentanglement by Pairwise Similarities. - Sahar F. Zafar, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario:
Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process. - Edoardo Galimberti:
Cores and Other Dense Structures in Complex Networks. - Nour Moustafa:
A Systemic IoT-Fog-Cloud Architecture for Big-Data Analytics and Cyber Security Systems: A Review of Fog Computing. - Md. Zamilur Rahman, Asish Mukhopadhyay, Yash P. Aneja:
A separator-based method for generating weakly chordal graphs. - Nestor N. Deniz, Marina H. Murillo, Guido Marcelo Sanchez, Lucas M. Genzelis, Leonardo Luis Giovanini:
Robust stability of moving horizon estimation for nonlinear systems with bounded disturbances using adaptive arrival cost. - Tyler G. R. Reid, Sarah E. Houts, Robert Cammarata, Graham Mills, Siddharth Agarwal, Ankit Vora, Gaurav Pandey:
Localization Requirements for Autonomous Vehicles. - Deepan Muthirayan, Dileep M. Kalathil, Sen Li, Kameshwar Poolla, Pravin Varaiya:
Selling Demand Response Using Options. - Keshav Dasu, Kwan-Liu Ma, Joyce Ma, Jennifer Frazier:
Sea of Genes: Combining Animation and Narrative Strategies to Visualize Metagenomic Data for Museums. - Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong, Dani Yogatama:
Episodic Memory in Lifelong Language Learning. - Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen:
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. - Michele Polese, Marco Giordani, Tommaso Zugno, Arnab Roy, Sanjay Goyal, Douglas R. Castor, Michele Zorzi:
Integrated Access and Backhaul in 5G mmWave Networks: Potentials and Challenges. - Mariano Tepper:
Do place cells dream of conditional probabilities? Learning Neural Nyström representations. - Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan:
Training Neural Machine Translation To Apply Terminology Constraints. - Nathan White, John Harwell, Maria L. Gini:
Socially Inspired Communication in Swarm Robotics. - Vahid Behzadan, William H. Hsu:
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies. - Francis Y. Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Alexander Levis, Keith Winstein:
Continual learning improves Internet video streaming. - Hee-Kap Ahn, Eunjin Oh, Lena Schlipf, Fabian Stehn, Darren Strash:
On Romeo and Juliet Problems: Minimizing Distance-to-Sight. - Joel Nishimura, Oscar Goodloe:
Implication Avoiding Dynamics for Externally Observed Networks. - Vahid Behzadan, William H. Hsu:
Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). - Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Incremental Learning. - Vahid Behzadan, William H. Hsu:
Adversarial Exploitation of Policy Imitation. - Xu Han, Tom Yeh:
Evaluating Voice Skills by Design Guidelines Using an Automatic Voice Crawler. - Konstantin Kozlovtsev, Victor V. Kitov:
Depth-Preserving Real-Time Arbitrary Style Transfer. - Vahid Behzadan, William H. Hsu:
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies. - Narendra Patwardhan, Zequn Wang:
Proximal Reliability Optimization for Reinforcement Learning. - Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung:
Assessing Performance Implications of Deep Copy Operations via Microbenchmarking. - Wei Wang, Isaac Caswell, Ciprian Chelba:
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation. - Alexey Schekalev, Victor V. Kitov:
Style Transfer With Adaptation to the Central Objects of the Scene. - Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang:
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning. - Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. - Keith Paarporn, Mahnoosh Alizadeh, Jason R. Marden:
A risk-security tradeoff in graphical coordination games. - Baohua Sun, Lin Yang, Michael Lin, Wenhan Zhang, Patrick Dong, Charles Young, Jason Dong:
System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications. - Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. - Tongfei Chen, Chetan Naik, Hua He, Pushpendre Rastogi, Lambert Mathias:
Improving Long Distance Slot Carryover in Spoken Dialogue Systems. - Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka:
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. - Allen Schmaltz:
Toward Grammatical Error Detection from Sentence Labels: Zero-shot Sequence Labeling with CNNs and Contextualized Embeddings. - Omid Mohamad Nezami, Paria Jamshid Lou, Mansoureh Karami:
ShEMO - A Large-Scale Validated Database for Persian Speech Emotion Detection. - Rohit Voleti, Julie M. Liss, Visar Berisha:
A Review of Language and Speech Features for Cognitive-Linguistic Assessment. - Naimul Mefraz Khan, Marcia Hon, Nabila Abraham:
Transfer Learning with intelligent training data selection for prediction of Alzheimer's Disease. - Matei Ionita, Yury Kashnitsky, Ken Krige, Vladimir Larin, Denis Logvinenko, Atanas Atanasov:
Resolving Gendered Ambiguous Pronouns with BERT. - Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Dynamic Neural Network Decoupling. - Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin:
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain. - Jens Schreiber:
Transfer Learning in the Field of Renewable Energies - A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid. - Ethan Fetaya, Jörn-Henrik Jacobsen, Richard S. Zemel:
Conditional Generative Models are not Robust. - Xun Gong, Hao Wang, Mohammad Reza Amini, Ilya V. Kolmanovsky, Jing Sun:
Integrated Optimization of Power Split, Engine Thermal Management, and Cabin Heating for Hybrid Electric Vehicles. - Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang:
On Privacy Protection of Latent Dirichlet Allocation Model Training. - Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li:
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations. - Linghao Sun, Huixiong Yi, Huanhuan Chen:
Back Attention Knowledge Transfer for Low-resource Named Entity Recognition. - Weiran Shen, Sébastien Lahaie, Renato Paes Leme:
Learning to Clear the Market. - Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong:
Joint Effects of Context and User History for Predicting Online Conversation Re-entries. - Xingran Chen, Mohammad Hassan Lotfi, Saswati Sarkar:
The Interplay of Competition and Cooperation Among Service Providers (Part II). - Hao Guo, Wanxin Li, Mark M. Nejad, Chien-Chung Shen:
Access Control for Electronic Health Records with Hybrid Blockchain-Edge Architecture. - Zengyi Qin, Jinglu Wang, Yan Lu:
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection. - Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul:
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. - Yian Zhang, Yinmiao Li, Daniel Chin, Gus Xia:
Adaptive Multimodal Music Learning via Interactive-haptic Instrument. - Elizabeth Salesky, Matthias Sperber, Alan W. Black:
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation. - Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon:
Learning Neural PDE Solvers with Convergence Guarantees. - Akshat Agarwal, Sumit Kumar, Katia P. Sycara:
Learning Transferable Cooperative Behavior in Multi-Agent Teams. - Jen-Yu Liu, Yi-Hsuan Yang:
Dilated Convolution with Dilated GRU for Music Source Separation. - Fangyu Liu, Rongtian Ye:
A Strong and Robust Baseline for Text-Image Matching. - Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu:
Attributed Graph Clustering via Adaptive Graph Convolution. - Luc-Henri Jolly, Alejandro Duran, Louis Lagardère, Jay W. Ponder, Pengyu Y. Ren, Jean-Philip Piquemal:
Raising the Performance of the Tinker-HP Molecular Modeling Package on Intel's HPC Architectures: a Living Review [Article v1.0]. - Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo:
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis. - Tanner Fiez, Benjamin Chasnov, Lillian J. Ratliff:
Convergence of Learning Dynamics in Stackelberg Games. - Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui:
Toward Building Conversational Recommender Systems: A Contextual Bandit Approach. - Joaquim Campos, Simon Meierhans, Abdelaziz Djelouah, Christopher Schroers:
Content Adaptive Optimization for Neural Image Compression. - Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson:
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem. - Jingcheng Liu, Alistair Sinclair, Piyush Srivastava:
A deterministic algorithm for counting colorings with 2Δ colors. - Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia:
From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. - Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun:
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. - Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao, Youhua Chen:
An interpretable machine learning framework for modelling human decision behavior. - Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding compositionally: using attention to find more generalizable solutions. - Rui Xia, Mengran Zhang, Zixiang Ding:
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. - Shuhei Kurita, Anders Søgaard:
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies. - Evandro Luquini, Nizam Omar:
Kinetic Market Model: An Evolutionary Algorithm. - Baoli Yin, Yang Liu, Hong Li, Zhimin Zhang:
Two families of novel second-order fractional numerical formulas and their applications to fractional differential equations. - Allen Nie, Erin D. Bennett, Noah D. Goodman:
Learning to Explain: Answering Why-Questions via Rephrasing. - Rafael A. García Leiva, Antonio Fernández Anta, Vincenzo Mancuso, Paolo Casari:
A Novel Hyperparameter-free Approach to Decision Tree Construction that Avoids Overfitting by Design. - Phong Le, Ivan Titov:
Boosting Entity Linking Performance by Leveraging Unlabeled Documents. - Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs. - Jeremy Kawahara, Ghassan Hamarneh:
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance. - Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo:
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition. - Taejoon Kim, Yu Gu, Jinoh Kim:
A Hybrid Cache Architecture for Meeting Per-Tenant Performance Goals in a Private Cloud. - Chujie Zheng, Minlie Huang, Aixin Sun:
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. - Rui Xia, Zixiang Ding:
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. - Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. - Thomas W. Rogers, Nicolas Jaccard, Francis Carbonaro, Hans G. Lemij, Koenraad A. Vermeer, Nicolaas J. Reus, Sameer Trikha:
Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study. - A. K. M. Bahalul Haque, Sharaban Tahura Nisa, Md. Amdadul Bari, Ayvee Nusreen Anika:
Anonymity Network Tor and Performance Analysis of ARANEA; an IOT Based Privacy-Preserving Router. - Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt:
Wasserstein Weisfeiler-Lehman Graph Kernels. - Weijia Shao, Christian Geißler, Fikret Sivrikaya:
Graduated Optimization of Black-Box Functions. - Maria Corkery, Yevgen Matusevych, Sharon Goldwater:
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection. - Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen:
Lattice-Based Transformer Encoder for Neural Machine Translation. - A. K. M. Bahalul Haque:
Need for Critical Cyber Defence, Security Strategy and Privacy Policy in Bangladesh - Hype or Reality? - Jie Hu, Rongrong Ji, Shengchuan Zhang, Xiaoshuai Sun, Qixiang Ye, Chia-Wen Lin, Qi Tian:
Information Competing Process for Learning Diversified Representations. - Jingyi Hou, Xinxiao Wu, Yayun Qi, Wentian Zhao, Jiebo Luo, Yunde Jia:
Relational Reasoning using Prior Knowledge for Visual Captioning. - Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
Optimal Unsupervised Domain Translation. - Silvia Bertoluzza:
Algebraic representation of dual scalar products and stabilization of saddle point problems. - Ashwary Anand, Shubh Agrawal, Shivang Agrawal, Aman Chandra, Krishnakant Deshmukh:
Grid-based Localization Stack for Inspection Drones towards Automation of Large Scale Warehouse Systems. - Mayank Mittal, Rohit Mohan, Wolfram Burgard, Abhinav Valada:
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue. - Guodong Ding, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification. - Miao Wang, Guo-Ye Yang, Ruilong Li, Runze Liang, Song-Hai Zhang, Peter M. Hall, Shi-Min Hu:
Example-Guided Style Consistent Image Synthesis from Semantic Labeling. - Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth:
How Large Are Lions? Inducing Distributions over Quantitative Attributes. - Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi, Marilyn A. Walker:
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG. - Damien Desfontaines, Balázs Pejó:
SoK: Differential Privacies. - Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Color Constancy Convolutional Autoencoder. - Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, Lu Yuan:
Face Parsing with RoI Tanh-Warping. - Jihun Choi, Taeuk Kim, Sang-goo Lee:
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching. - Rui Zhang, Zheng Zhu, Peng Li, Rui Wu, Chaoxu Guo, Guan Huang, Hailun Xia:
Exploiting Offset-guided Network for Pose Estimation and Tracking. - Esmaeil Mohammadian Koruyeh, Shirin Haji Amin Shirazi, Khaled N. Khasawneh, Chengyu Song, Nael B. Abu-Ghazaleh:
SPECCFI: Mitigating Spectre Attacks using CFI Informed Speculation. - Alma D'Aniello, Alessandro De Luca:
Characteristic Parameters and Special Trapezoidal Words. - Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes:
End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On. - Andreas Orthey, Marc Toussaint:
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications. - Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki:
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. - Zhun Deng, Cynthia Dwork, Jialiang Wang, Yao Zhao:
Architecture Selection via the Trade-off Between Accuracy and Robustness. - Prabha Mandayam, Krishna P. Jagannathan, Avhishek Chatterjee:
The Classical Capacity of a Quantum Erasure Queue-Channel. - Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang:
State-aware Re-identification Feature for Multi-target Multi-camera Tracking. - Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran:
NNE: A Dataset for Nested Named Entity Recognition in English Newswire. - Hardy, Shashi Narayan, Andreas Vlachos:
HighRES: Highlight-based Reference-less Evaluation of Summarization. - Shanka Subhra Mondal, Abhilash Nandy, Ritesh Agrawal, Debashis Sen:
KarNet: An Efficient Boolean Function Simplifier. - Manuel Bravo, Alexey Gotsman:
Reconfigurable Atomic Transaction Commit (Extended Version). - Gianluca Ceruti, Christian Lubich:
Time integration of symmetric and anti-symmetric low-rank matrices and Tucker tensors. - Meng Chen, Leevan Ling:
Kernel-based collocation methods for heat transport on evolving surfaces. - José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Relational Word Embeddings. - Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni:
Autonomous Reinforcement Learning of Multiple Interrelated Tasks. - Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. - Yuriy V. Pershin, V. A. Slipko:
Bifurcation analysis of a TaO memristor model. - Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang:
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning. - Luis García Ramos, Reinhard Nabben:
On Optimal Algebraic Multigrid Methods. - Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan:
A Comprehensive Study on Deep Learning Bug Characteristics. - Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks:
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks. - Martin Schmitt, Hinrich Schütze:
SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. - Norimichi Ukita, Yusuke Uematsu:
Semi- and Weakly-supervised Human Pose Estimation. - Thaíse K. L. Costa, Liliane dos Santos Machado, Ana Maria Gondim Valença, Marco Winckler, Ronei Marcos de Moraes:
Pegadas: A Portal for Management and Activities Planning with Games and Environments for Education in Health. - Alban Laflaquière, Michaël Garcia Ortiz:
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. - Armin Lederer, Jonas Umlauft, Sandra Hirche:
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. - Hao Lu, Mengdi Wang:
RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization. - Caleb Chuck, Supawit Chockchowwat, Scott Niekum:
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning. - Sergio Firmenich, Gabriela Bosetti, Gustavo Rossi, Marco Winckler, José María Corletto:
Distributed Web browsing: supporting frequent uses and opportunistic requirements. - Nicolas Bousserez, Jonathan J. Guerrette, Daven K. Henze:
Enhanced parallelization of the incremental 4D-Var data assimilation algorithm using the Randomized Incremental Optimal Technique (RIOT). - Satoshi Tsutsui, Dian Zhi, Md. Alimoor Reza, David J. Crandall, Chen Yu:
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study. - Thiago Rocha Silva, Jean-Luc Hak, Marco Winckler, Olivier Nicolas:
A Comparative Study of Milestones for Featuring GUI Prototyping Tools. - Gabriela Bosetti, Sergio Firmenich, Silvia E. Gordillo, Gustavo Rossi, Marco Winckler:
An End-User Development approach for Mobile Web Augmentation. - Tamer Abdelaziz, Aya Sedky, Bruno Rossi, Mostafa-Sami M. Mostafa:
Identification and Assessment of Software Design Pattern Violations. - Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber:
Interpreted Execution of Business Process Models on Blockchain. - Ramamonjy Andriamifidisoa, Rufine Marius Lalasoa, Toussaint Joseph Rabeherimanana:
A Dynamical System-based Key Equation for Decoding One-Point Algebraic-Geometry Codes. - Mansur Khazeev, Manuel Mazzara, Daniel de Carvalho, Hamna Aslam:
Towards A Broader Acceptance Of Formal Verification Tools: The Role Of Education. - Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar:
Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version). - Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan:
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. - Himan Abdollahpouri:
Incorporating System-Level Objectives into Recommender Systems. - Tianyi Lin, Nhat Ho, Michael I. Jordan:
On the Acceleration of the Sinkhorn and Greenkhorn Algorithms for Optimal Transport. - Rocco Tripodi, Massimo Warglien, Simon Levis Sullam, Deborah Paci:
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914. - NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. - Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar:
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series. - Wei Zhang, Bairui Wang, Lin Ma, Wei Liu:
Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning. - Marco Buongiorno Nardelli:
MUSICNTWRK: data tools for music theory, analysis and composition. - Dorian Florescu, Matthew England:
Algorithmically generating new algebraic features of polynomial systems for machine learning. - Alexander Kampmann, Andreas Zeller:
Bridging the Gap between Unit Test Generation and System Test Generation. - Raul Gomez, Ali Furkan Biten, Lluís Gómez, Jaume Gibert, Marçal Rusiñol, Dimosthenis Karatzas:
Selective Style Transfer for Text. - Alexander Sasha Vezhnevets, Yuhuai Wu, Rémi Leblond, Joel Z. Leibo:
Options as responses: Grounding behavioural hierarchies in multi-agent RL. - Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Evaluating Discourse in Structured Text Representations. - (Withdrawn) Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks.
- Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
PCA-driven Hybrid network design for enabling Intelligence at the Edge. - Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco:
Extrapolation Methods for fixed-point Multilinear PageRank computations. - Navid Rekabsaz, Nikolaos Pappas, James Henderson, Banriskhem K. Khonglah, Srikanth R. Madikeri:
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains. - Bonggun Shin, Julien Hogan, Andrew B. Adams, Raymond J. Lynch, Rachel E. Patzer, Jinho D. Choi:
Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission. - Telmo Pires, Eva Schlinger, Dan Garrette:
How multilingual is Multilingual BERT? - Matteo Fischetti, Matteo Stringher:
Embedded hyper-parameter tuning by Simulated Annealing. - Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas:
Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. - Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. - Tian Shi, Ping Wang, Chandan K. Reddy:
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. - Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding:
Adaptive Region Embedding for Text Classification. - Piotr Niewinski, Aleksander Wawer, Maria Pszona, Maria Janicka:
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. - Filippo Bonchi, Robin Piedeleu, Pawel Sobocinski, Fabio Zanasi:
Bialgebraic Semantics for String Diagrams. - Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based Editing of Talking-head Video. - Oren Katzir, Dani Lischinski, Daniel Cohen-Or:
Cross-Domain Cascaded Deep Feature Translation. - Kevin Roth, Yannic Kilcher, Thomas Hofmann:
Adversarial Training Generalizes Data-dependent Spectral Norm Regularization. - Zhe Feng, David C. Parkes, Haifeng Xu:
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation. - Zhengwei Wang, Qi She, Tomas E. Ward:
Generative Adversarial Networks: A Survey and Taxonomy. - Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández:
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue. - Joseph Moore:
Closed-Loop Control of a Delta-Wing Unmanned Aerial-Aquatic Vehicle. - Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao:
Visual Tree Convolutional Neural Network in Image Classification. - Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema:
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. - Haohao Hu, Junyi Zhu, Sascha Wirges, Martin Lauer:
Localization in Aerial Imagery with Grid Maps using LocGAN. - Jordi Pont-Tuset, Michael Gygli, Vittorio Ferrari:
Natural Vocabulary Emerges from Free-Form Annotations. - Matthew Henderson, Ivan Vulic, Daniela Gerz, Iñigo Casanueva, Pawel Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
Training Neural Response Selection for Task-Oriented Dialogue Systems. - Eric Ngondiep:
A Novel Three-Level Time-Split MacCormack Method for Solving Two-Dimensional Viscous Coupled Burgers Equations. - Ramon Ferrer-i-Cancho, Christian Bentz:
Optimal coding and the origins of Zipfian laws. - Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. - Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian:
In-memory hyperdimensional computing. - Litu Rout, Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. - Antonio Brogi, Davide Neri, Jacopo Soldani, Olaf Zimmermann:
Design principles, architectural smells and refactorings for microservices: A multivocal review. - Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre:
Disentangling neural mechanisms for perceptual grouping. - Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. - Sam Greydanus, Misko Dzamba, Jason Yosinski:
Hamiltonian Neural Networks. - Yuanfu Luo, Panpan Cai:
GAMMA: A General Agent Motion Prediction Model for Autonomous Driving. - Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images. - Benjamin Heinzerling, Michael Strube:
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation. - Avinash Madasu, Sivasankar Elango:
A Study of Feature Extraction techniques for Sentiment Analysis. - Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. - Manuel Schmidt-Kraepelin, Sebastian Lins, Scott Thiebes, Ali Sunyaev:
Gamification of Enterprise Systems: A Synthesis of Mechanics, Dynamics, and Risks. - Hoang-Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier:
Statistically Significant Discriminative Patterns Searching. - Hari Govind V. K., Yakir Vizel, Vijay Ganesh, Arie Gurfinkel:
Interpolating Strong Induction. - Chu Wang, Marcello Pelillo, Kaleem Siddiqi:
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition. - William Merrill, Lenny Khazan, Noah Amsel, Yiding Hao, Simon Mendelsohn, Robert Frank:
Finding Syntactic Representations in Neural Stacks. - R. Ishwariya, John J. H. Miller, S. Valarmathi:
A parameter uniform essentially first order convergent numerical method for a parabolic singularly perturbed differential equation of reaction-diffusion type with initial and Robin boundary conditions. - Marco Bressan, Stefano Leucci, Alessandro Panconesi:
Motivo: fast motif counting via succinct color coding and adaptive sampling. - George Onoufriou, Ronald Bickerton, Simon Pearson, Georgios Leontidis:
Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. - Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe:
Sparse Representation Classification via Screening for Graphs. - Sarabjot Singh:
On Provisioning Cellular Networks for Distributed Inference. - Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar, Yoshua Bengio:
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. - William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit:
KERMIT: Generative Insertion-Based Modeling for Sequences. - Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
Transferable Neural Projection Representations. - Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann:
Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games. - William Merrill:
Sequential Neural Networks as Automata. - Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel:
Self-Attentional Models for Lattice Inputs. - Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein:
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. - Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. - Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber:
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. - Alex Irpan, Kanishka Rao, Konstantinos Bousmalis, Chris Harris, Julian Ibarz, Sergey Levine:
Off-Policy Evaluation via Off-Policy Classification. - Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
Encoding Invariances in Deep Generative Models. - Marco Attene, Silvia Biasotti, Silvia Bertoluzza, Daniela Cabiddu, Marco Livesu, Giuseppe Patanè, Micol Pennacchio, Daniele Prada, Michela Spagnuolo:
Benchmark of Polygon Quality Metrics for Polytopal Element Methods. - Maxime Gasse, Didier Chételat, Nicola Ferroni, Laurent Charlin, Andrea Lodi:
Exact Combinatorial Optimization with Graph Convolutional Neural Networks. - Alexandre Kircher, Laurent Bako, Eric Blanco, Mohamed Benallouch:
Resilient State Estimation for Discrete-Time Linear Systems. - Alexander Litvinenko, Dmitriy Logashenko, Raúl Tempone, Gabriel Wittum, David E. Keyes:
Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability. - Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni:
On the Realization of Compositionality in Neural Networks. - Magnus Stavngaard, August Sørensen, Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup:
Detecting Ghostwriters in High Schools. - Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. - Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp:
Towards Lossless Encoding of Sentences. - William Merrill, Gigi Felice Stark, Robert Frank:
Detecting Syntactic Change Using a Neural Part-of-Speech Tagger. - Sarah Cannon, Will Perkins:
Counting independent sets in unbalanced bipartite graphs. - Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning. - Anastasios Kakkavas, Gonzalo Seco-Granados, Henk Wymeersch, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Josef A. Nossek:
5G Downlink Multi-Beam Signal Design for LOS Positioning. - Robert Wagner, Daniel E. Crispell, Patrick Feeney, Joe L. Mundy:
4-D Scene Alignment in Surveillance Video. - Christopher Griffin, Sarah Michele Rajtmajer, Anna Cinzia Squicciarini, Prasanna Umar:
Power Law Public Goods Game for Personal Information Sharing in News Comments. - Tal Gariby, Uri Erez:
On General Lattice Quantization Noise. - Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi:
Learning dynamic polynomial proofs. - Luyao Niu, Andrew Clark:
A Differentially Private Incentive Design for Traffic Offload to Public Transportation. - Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. - Samuel Läubli, Chantal Amrhein, Patrick Düggelin, Beatriz Gonzalez, Alena Zwahlen, Martin Volk:
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain. - Tamara G. Kolda, David Hong:
Stochastic Gradients for Large-Scale Tensor Decomposition. - Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg:
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change. - Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey:
A Multi-Pass GAN for Fluid Flow Super-Resolution. - Michael Matheny, Dong Xie, Jeff M. Phillips:
Scalable Spatial Scan Statistics for Trajectories. - Wachirawit Ponghiran, Gopalakrishnan Srinivasan, Kaushik Roy:
Reinforcement Learning with Low-Complexity Liquid State Machines. - Samin Aref, Zachary P. Neal:
Legislative effectiveness hangs in the balance: Studying balance and polarization through partitioning signed networks. - Yongjie Lin, Yi Chern Tan, Robert Frank:
Open Sesame: Getting Inside BERT's Linguistic Knowledge. - Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov:
Visual Fixations Duration as an Indicator of Skill Level in eSports. - Hongyin Luo, Lan Jiang, Yonatan Belinkov, James R. Glass:
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future. - Jakub Kuderski, Jorge A. Navas, Arie Gurfinkel:
Unification-based Pointer Analysis without Oversharing. - Alexandre Kircher, Laurent Bako, Eric Blanco, Mohamed Benallouch:
An optimization framework for resilient batch estimation in Cyber-Physical Systems. - Andrea Cangiani, Zhaonan Dong, Emmanuil H. Georgoulis:
hp-Version discontinuous Galerkin methods on essentially arbitrarily-shaped elements. - Chaitanya Poolla, Abraham K. Ishihara:
Nonlinear Equivalent Resistance-based Maximum Power Point Tracking (MPPT). - Krishan K. Tiwari, Eckhard Grass, John S. Thompson, Rolf Kraemer:
Memory-assisted Statistically-ranked RF Beam Training Algorithm for Sparse MIMO. - Meet P. Vadera, Benjamin M. Marlin:
Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty. - Naiereh Elyasi, Mehdi Hosseini Moghadam:
An Introduction to a New Text Classification and Visualization for Natural Language Processing Using Topological Data Analysis. - Tsvetomila Mihaylova, Georgi Karadjov, Pepa Atanasova, Ramy Baly, Mitra Mohtarami, Preslav Nakov:
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. - Fabio Ramos, Rafael Carvalhaes Possas, Dieter Fox:
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators. - Ruibo Tu, Kun Zhang, Bo Christer Bertilson, Hedvig Kjellström, Cheng Zhang:
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation. - Dimitris Alikaniotis, Vipul Raheja:
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction. - Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong:
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms. - Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam:
Geo-Aware Networks for Fine Grained Recognition. - David Jurgens, Eshwar Chandrasekharan, Libby Hemphill:
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse. - Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich:
Balanced Ranking with Diversity Constraints. - Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. - Keiller Nogueira, Jocelyn Chanussot, Mauro Dalla Mura, William Robson Schwartz, Jefersson A. dos Santos:
An Introduction to Deep Morphological Networks. - Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan:
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. - Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan:
Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat. - Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Günlük:
Generalized Linear Rule Models. - Anjalie Field, Yulia Tsvetkov:
Entity-Centric Contextual Affective Analysis. - Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Kenneth Huang:
Visual Story Post-Editing. - Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga:
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. - Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas:
Lifelong Learning with a Changing Action Set. - Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas:
Reinforcement Learning When All Actions are Not Always Available. - John Calvin Alumbaugh, Joshua J. Daymude, Erik D. Demaine, Matthew J. Patitz, Andréa W. Richa:
Simulation of Programmable Matter Systems Using Active Tile-Based Self-Assembly. - Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang:
RIP-based performance guarantee for low-tubal-rank tensor recovery. - Teng Wang, Jun Zhao, Xinyu Yang, Xuebin Ren:
Locally Differentially Private Data Collection and Analysis. - Tongtong Xu, Liushan Chen, Yu Pei, Tian Zhang, Minxue Pan, Carlo A. Furia:
Restore: Retrospective Fault Localization Enhancing Automated Program Repair. - Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu:
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection. - Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang:
Learning to Compose and Reason with Language Tree Structures for Visual Grounding. - Kwok Cheung, Michael Huth, Laurence Kirk, Leif-Nissen Lundbæk, Rodolphe Marques, Jan Petsche:
Owner-centric sharing of physical resources, data, and data-driven insights in digital ecosystems. - Jalaj Bhandari, Daniel Russo:
Global Optimality Guarantees For Policy Gradient Methods. - Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao:
Learning Deep Transformer Models for Machine Translation. - He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference. - Chengyuan Zhang, Lei Zhu, Shichao Zhang:
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification. - Mingshang Hu, Lianzi Jiang:
Explicit θ-Schemes for Solving Anticipated Backward Stochastic Differential Equations. - Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. - Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng:
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks. - Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao:
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation. - Yanliang Zhu, Deheng Qian, Dongchun Ren, Huaxia Xia:
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology. - Pooja Gupta, Salil S. Kanhere, Raja Jurdak:
A Decentralized IoT Data Marketplace. - Min Chen, Yingying Jiang, Yong Cao, Albert Y. Zomaya:
CreativeBioMan: Brain and Body Wearable Computing based Creative Gaming System. - Long Hu, Wei Li, Jun Yang, Giancarlo Fortino, Min Chen:
A Sustainable Multi-modal Multi-layer Emotion-aware Service at the Edge. - Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin:
The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing. - Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria:
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). - Junyoung Park, Subin Yi, Yongseok Choi, Dong-Yeon Cho, Jiwon Kim:
Discriminative Few-Shot Learning Based on Directional Statistics. - Evan Hubinger, Chris van Merwijk, Vladimir Mikulik, Joar Skalse, Scott Garrabrant:
Risks from Learned Optimization in Advanced Machine Learning Systems. - Xiaofei Huang, Alaina Martens, Emily Zimmerman, Sarah Ostadabbas:
Infant Contact-less Non-Nutritive Sucking Pattern Quantification via Facial Gesture Analysis. - Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan:
CCMI : Classifier based Conditional Mutual Information Estimation. - Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec:
Data Sketching for Faster Training of Machine Learning Models. - Fei Gao, Hyunsoo Yoon, Teresa Wu, Xianghua Chu:
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging. - Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. - Ramy Baly, Alaa Khaddaj, Hazem M. Hajj, Wassim El-Hajj, Khaled Bashir Shaban:
ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets. - Sidra Malik, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
TrustChain: Trust Management in Blockchain and IoT supported Supply Chains. - Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun:
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer. - Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. - Hiroshi Sasaki, Miguel A. Arroyo, M. Tarek Ibn Ziad, Koustubha Bhat, Kanad Sinha, Simha Sethumadhavan:
Practical Byte-Granular Memory Blacklisting using Califorms. - Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin:
Improving Textual Network Embedding with Global Attention via Optimal Transport. - Amir Ziai:
Detecting Kissing Scenes in a Database of Hollywood Films. - Mike Thelwall:
Large publishing consortia produce higher citation impact research but co-author contributions are hard to evaluate. - Yusuke Mukuta, Tatsuaki Machida, Tatsuya Harada:
Compact Approximation for Polynomial of Covariance Feature. - Louis C. Tiao, Pantelis Elinas, Harrison Nguyen, Edwin V. Bonilla:
Variational Spectral Graph Convolutional Networks. - Yusuke Mukuta, Tatsuya Harada:
Invariant Tensor Feature Coding. - Martin Aumüller, Rasmus Pagh, Francesco Silvestri:
Fair Near Neighbor Search: Independent Range Sampling in High Dimensions. - Wataru Kawai, Yusuke Mukuta, Tatsuya Harada:
GRAM: Scalable Generative Models for Graphs with Graph Attention Mechanism. - Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, Weisong Shi:
OpenEI: An Open Framework for Edge Intelligence. - Alexander Fabisch, Christoph Petzoldt, Marc Otto, Frank Kirchner:
A Survey of Behavior Learning Applications in Robotics - State of the Art and Perspectives. - Luka Nenadovic, Vladimir Prelovac:
Deep learning based unsupervised concept unification in the embedding space. - Hamid Mirisaee, Éric Gaussier, Cédric Lagnier, Agnès Guerraz:
Terminology-based Text Embedding for Computing Document Similarities on Technical Content. - Kentaro Kanamori, Satoshi Hara, Masakazu Ishihata, Hiroki Arimura:
Enumeration of Distinct Support Vectors for Interactive Decision Making. - Xingzhou Zhang, Yifan Wang, Weisong Shi:
pCAMP: Performance Comparison of Machine Learning Packages on the Edges. - Jukka Ruohonen:
David and Goliath: Privacy Lobbying in the European Union. - Mohammad Ibrahim Sarker, Hyongsuk Kim:
Farm land weed detection with region-based deep convolutional neural networks. - Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks. - Mohammad Ibrahim Sarker, Yali Nie, Hong Yongki, Hyongsuk Kim:
Genetic Random Weight Change Algorithm for the Learning of Multilayer Neural Networks. - Rui Fan, Lujia Wang, Ming Liu, Ioannis Pitas:
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent. - Min Chen, Ping Zhou, Di Wu, Long Hu, Mohammad Mehedi Hassan, Atif Alamri:
AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework. - Mohammad Ibrahim Sarker, Heechan Yang, Hyongsuk Kim:
Corn leaf detection using Region based convolutional neural network. - Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. - Hongyu Li, Fan Zhu, Junhua Qiu:
Towards Document Image Quality Assessment: A Text Line Based Framework and A Synthetic Text Line Image Dataset. - Guillaume Ausset, Stéphan Clémençon, François Portier:
Empirical Risk Minimization under Random Censorship: Theory and Practice. - Kit Kuksenok, Andriy Martyniv:
Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples. - Geoffrey French, Timo Aila, Samuli Laine, Michal Mackiewicz, Graham D. Finlayson:
Consistency regularization and CutMix for semi-supervised semantic segmentation. - Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul:
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. - Theofilos Ioannidis, George Garbis, Kostis Kyzirakos, Konstantina Bereta, Manolis Koubarakis:
Evaluating Geospatial RDF stores Using the Benchmark Geographica 2. - Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi:
Human Activity Recognition with Convolutional Neural Netowrks. - Seyed Mohammadreza Mohades Kasaei, Nuno Lau, Artur Pereira:
Comparison Study of Well-Known Inverted Pendulum Models for Balance Recovery in Humanoid Robot. - Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney:
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. - Joseph Bullock, Miguel A. Luengo-Oroz:
Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts. - Tarcisio Mendes de Farias, Christophe Dessimoz:
Enhancing interoperable datasets with virtual links. - Anthony Chen, John Harwell, Maria L. Gini:
Maximizing Energy Battery Efficiency in Swarm Robotics. - David Marecek, Rudolf Rosa:
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions. - Katja Tuma, Danial Hosseini, Kyriakos Malamas, Riccardo Scandariato:
Inspection Guidelines to Identify Security Design Flaws. - Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots from Video (Extended Abstract). - Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence.