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ORCIDCoRR, January 2020
- Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu:
Learning Numeral Embeddings. - Rakesh Mohanty, Debasis Dwibedy, Shreeya Swagatika Sahoo:
New Competitive Analysis Results of Online List Scheduling Algorithm. - Travis LaCroix, Yoshua Bengio:
Learning from Learning Machines: Optimisation, Rules, and Social Norms. - Maxime Bassenne, Adrián Lozano-Durán:
Computational model discovery with reinforcement learning. - Ankit Chadha, Mohamed Masoud:
Deep Reinforced Self-Attention Masks for Abstractive Summarization (DR.SAS). - Kenneth Choi
, Tony Lee:
Differentially Private M-band Wavelet-Based Mechanisms in Machine Learning Environments. - Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman:
Tensor-Tensor Products for Optimal Representation and Compression. - Aggelos Kiayias, Aikaterini-Panagiota Stouka:
Coalition-Safe Equilibria with Virtual Payoffs. - Ahmed Abdelhamed, Balakrishna Yadav Peddagolla, Girma S. Tewolde, Jaerock Kwon:
MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications. - Rahul Radhakrishnan Iyer, Yulong Pei, Katia P. Sycara:
Simultaneous Identification of Tweet Purpose and Position. - Kamyar Givaki, Behzad Salami, Reza Hojabr, S. M. Reza Tayaranian, Ahmad Khonsari, Dara Rahmati, Saeid Gorgin, Adrián Cristal, Osman S. Unsal:
On the Resilience of Deep Learning for Reduced-voltage FPGAs. - Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai:
Deep Attentive Ranking Networks for Learning to Order Sentences. - Bhairav Chidambaram, Mason McGill, Pietro Perona:
HMM-guided frame querying for bandwidth-constrained video search. - Shengwen Xie, Juan Ren:
Towards Improving the Performance of the RNN-based Inversion Model in Output Tracking Control. - Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi:
Pre-trained Contextual Embedding of Source Code. - Issam Hammad, Kamal El-Sankary, Jason Gu:
Deep Learning Training with Simulated Approximate Multipliers. - Hiba Arnout, Johannes Kehrer, Johanna Bronner, Thomas A. Runkler:
Visual Evaluation of Generative Adversarial Networks for Time Series Data. - Mateusz Krzysztof Tarkowski, Szymon Matejczyk, Tomasz P. Michalak, Michael J. Wooldridge:
Monte Carlo Techniques for Approximating the Myerson Value - Theoretical and Empirical Analysis. - Julian Enoch:
Nested Column Generation decomposition for solving the Routing and Spectrum Allocation problem in Elastic Optical Networks. - Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres:
Protecting GANs against privacy attacks by preventing overfitting. - Bernhard Haeupler, D. Ellis Hershkowitz, David Wajc:
Near-Optimal Schedules for Simultaneous Multicasts. - Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum:
Scalable Hierarchical Clustering with Tree Grafting. - Jack Clark, Gillian K. Hadfield:
Regulatory Markets for AI Safety. - Ajay Kumar Shrestha, Julita Vassileva:
User Acceptance of Usable Blockchain-Based Research Data Sharing System: An Extended TAM Based Study. - Yichen Zhang, Yan Li, Kevin Tomsovic, Seddik M. Djouadi, Meng Yue:
Review on Set-Theoretic Methods for Safety Verification and Control of Power System. - Patrick Gage Kelley, Yongwei Yang, Courtney Heldreth, Christopher Moessner, Aaron Sedley, Andreas Kramm, David T. Newman, Allison Woodruff:
"Happy and Assured that life will be easy 10years from now.": Perceptions of Artificial Intelligence in 8 Countries. - Naveen Mohan, Per Roos, Johan Svahn, Martin Törngren, Sagar Behere:
ATRIUM - Architecting Under Uncertainty for ISO 26262 compliance. - Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe:
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. - Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz:
Human Comprehension of Fairness in Machine Learning. - Somali Chaterji, Parinaz Naghizadeh, Muhammad Ashraful Alam, Saurabh Bagchi, Mung Chiang, David Corman, Brian J. Henz, Suman Jana, Na Li, Shaoshuai Mou, Meeko Oishi, Chunyi Peng, Tiark Rompf, Ashutosh Sabharwal, Shreyas Sundaram, James Weimer, Jennifer Weller:
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap. - Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann:
No Spurious Local Minima in Deep Quadratic Networks. - Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta:
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. - Farid Naït-Abdesselam, Ahmad Alsharoa, Mohamed Y. Selim, Daji Qiao, Ahmed E. Kamal:
D3S: A Framework for Enabling Unmanned AerialVehicles as a Service. - Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee:
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. - Soheil Abbasloo, H. Jonathan Chao:
SharpEdge: An Asynchronous and Core-Agnostic Solution to Guarantee Bounded-Delays. - Fei Zuo, Qiang Zeng:
Erase and Restore: Simple, Accurate and Resilient Detection of L2 Adversarial Examples. - Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning. - Kai Jiang, Xiaolong Qin:
Reinforcement Learning with Goal-Distance Gradient. - Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. - Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury, Taufiquar Khan:
Development of a Connected and Automated Vehicle Longitudinal Control Model. - Gwenaelle Cunha Sergio, Minho Lee:
Stacked DeBERT: All Attention in Incomplete Data for Text Classification. - Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. - Jamshed Memon, Maira Sami, Rizwan Ahmed Khan:
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR). - Mohammadreza Doostmohammadian:
Single-Bit Consensus with Finite-Time Convergence: Theory and Applications. - Shishir Kolathaya:
Local Stability of PD Controlled Bipedal Walking Robots. - Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang:
Dual Adversarial Domain Adaptation. - Chunming Tang, Cunsheng Ding:
An infinite family of linear codes supporting 4-designs. - Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli:
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. - Leilei Wei, Yinnian He:
A fully discrete local discontinuous Galerkin method with the generalized numerical flux to solve the tempered fractional reaction-diffusion equation. - Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems. - Ruben Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales, Javier Ortega-Garcia:
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection. - Christian Vitale, Carla-Fabiana Chiasserini, Francesco Malandrino, Senay Semu Tadesse:
Characterizing Delay and Control Traffic of the Cellular MME with IoT Support. - Suzan Üsküdarli, Erinç Gökdeniz, Resit Canbeyli:
NeuroBoun: An inquiry-based approach for exploring scientific literature - a use case in neuroscience. - Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, Feng Lu:
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation. - Jing Zhang, Yong Zhang, Suhua Zhan, Cheng Cheng:
Ensemble emotion recognizing with multiple modal physiological signals. - Pascal Gadient, Mohammad Ghafari, Oscar Nierstrasz:
Web APIs in Android through the Lens of Security. - Maike Buchin, Leonie Selbach:
A polynomial-time partitioning algorithm for weighted cactus graphs. - Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic, Dusit Niyato:
Spectrum Intelligent Radio: Technology, Development, and Future Trends. - Xi Fang, Pingkun Yan:
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction. - Timothy M. Chan, Shay Golan, Tomasz Kociumaka, Tsvi Kopelowitz, Ely Porat:
Approximating Text-to-Pattern Hamming Distances. - Joshua Peeples, Weihuang Xu, Alina Zare:
Histogram Layers for Texture Analysis. - Thiago Serra, Abhinav Kumar, Srikumar Ramalingam:
Lossless Compression of Deep Neural Networks. - James J. Cusick:
Business Value of ITSM. Requirement or Mirage? - Shannon Joyner, Michael J. MacCoss, Christina Delimitrou, Hakim Weatherspoon:
Ripple: A Practical Declarative Programming Framework for Serverless Compute. - Sarah Cline, Jacob Aronoff:
With Great Power Comes Great Responsibility: Utilizing Privacy Technology for the Greater Bad. - Lorena A. Barba:
Engineers Code: reusable open learning modules for engineering computations. - Donghoon Chang, Vinjohn V. Chirakkal, Shubham Goswami, Munawar Hasan, Taekwon Jung, Jinkeon Kang, Seok-Cheol Kee, Dongkyu Lee, Ajit Pratap Singh:
Multi-lane Detection Using Instance Segmentation and Attentive Voting. - Jurandy Almeida, Cristiano Saltori, Paolo Rota, Nicu Sebe:
Low-Budget Unsupervised Label Query through Domain Alignment Enforcement. - Mahbubur Rahman, Abusayeed Saifullah:
Integrating Low-Power Wide-Area Networks for Enhanced Scalability and Extended Coverage. - Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee:
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies. - Maria De-Arteaga, Tejumade Afonja, Amanda Coston:
Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D. - Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. - Parinya Chalermsook, Samir Khuller, Pattara Sukprasert, Sumedha Uniyal:
Multi-transversals for Triangles and the Tuza's Conjecture. - Ghafour Ahani, Di Yuan:
Optimal Scheduling of Content Caching Subject to Deadline. - Kan Li, José C. Príncipe:
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces. - Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-Graph Convolution Collaborative Filtering. - Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup:
Options of Interest: Temporal Abstraction with Interest Functions. - Facundo Mémoli, Guilherme Vituri F. Pinto:
Motivic clustering schemes for directed graphs. - Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
ZeroQ: A Novel Zero Shot Quantization Framework. - Mai Thanh Thai, Phuoc Thien Phan, Shing Wong, Nigel H. Lovell, Thanh Nho Do:
Advanced Intelligent Systems for Surgical Robotics. - Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomás Horváth:
Online Similarity Learning with Feedback for Invoice Line Item Matching. - Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu:
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network. - Wenwu Zhu, Xin Wang, Peng Cui:
Deep Learning for Learning Graph Representations. - Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang:
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. - Huiwei Zhou, Shixian Ning, Yunlong Yang, Zhuang Liu, Chengkun Lang, Yingyu Lin:
Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge. - Jiyoon Ham, Joshua I. James:
A Feature Comparison of Modern Digital Forensic Imaging Software. - Nima Anari, Kuikui Liu, Shayan Oveis Gharan:
Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model. - Ying Meng, Jianhai Su, Jason M. O'Kane, Pooyan Jamshidi:
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks. - Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan:
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. - Dongjing Miao, Zhipeng Cai, Jianzhong Li, Xiangyu Gao, Xianmin Liu:
Complexity and Efficient Algorithms for Data Inconsistency Evaluating and Repairing. - Shunsuke Kurima:
Time discretization of an abstract problem applying to the linearized equations of coupled sound and heat flow. - Xuanyi Dong, Yi Yang:
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search.