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ORCIDCoRR, November 2019
- Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing:
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. - Henri Calandra, Serge Gratton, Elisa Riccietti
, Xavier Vasseur:
On the iterative solution of systems of the form ATA x=ATb+c. - Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing:
Chirality Nets for Human Pose Regression. - Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson:
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks. - Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun:
Context-Aware Local Differential Privacy. - Arnav Thakur, Reza Malekian:
Fog Computing for Detecting Vehicular Congestion, An Internet of Vehicles based Approach: A review. - Uwe Baier, Thomas Büchler, Enno Ohlebusch, Pascal Weber:
Edge minimization in de Bruijn graphs. - Thomas D. LaToza, Maryam Arab, Dastyni Loksa, Amy J. Ko:
Explicit Programming Strategies. - Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang:
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. - Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach:
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. - Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu:
DNA: Dynamic Social Network Alignment. - Jian Ni, Radu Florian:
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping. - Mohammad Eslami, Mahdi Karami, Sedigheh Eslami, Solale Tabarestani, Farah Torkamani-Azar, Christoph Meinel:
SignCol: Open-Source Software for Collecting Sign Language Gestures. - William Lund Sommer, Alexandros Iosifidis:
Text-to-image synthesis method evaluation based on visual patterns. - Peter Benner, Pawan Goyal, Paul Van Dooren:
Identification of Port-Hamiltonian Systems from Frequency Response Data. - Yiwei Fu, Samer Saab Jr., Asok Ray, Michael Hauser:
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems. - Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota:
Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. - Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan:
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers. - Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
End-to-end Non-Negative Autoencoders for Sound Source Separation. - Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li:
Deep Learning of Subsurface Flow via Theory-guided Neural Network. - Nabeel Seedat, Christopher Kanan:
Towards calibrated and scalable uncertainty representations for neural networks. - Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
On Neural Architecture Search for Resource-Constrained Hardware Platforms. - Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach:
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines. - Andrew J. Weinert:
Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP. - Nicolas Boullé, Alex Townsend:
Computing with functions in the ball. - Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu:
ALERT: Accurate Anytime Learning for Energy and Timeliness. - Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze:
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System. - Elsbeth Turcan, Kathleen R. McKeown:
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media. - Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi:
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. - Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang:
Channel Characterization for 1D Molecular Communication with Two Absorbing Receivers. - Christopher Thomas, Adriana Kovashka:
Predicting the Politics of an Image Using Webly Supervised Data. - Volodymyr Buriachok, M. Hadzhyiev, Volodymyr Sokolov, Pavlo Skladannyi, L. Kuzmenko:
Implementation of an Index Optimize Technology for Highly Specialized Terms based on the Phonetic Algorithm Metaphone. - Alvaro Javier Ortega, Raimundo Sampaio Neto, Rodrigo Pereira David:
On hybrid precoder/combiner for downlink mmWave massive MU-MIMO systems. - Xianmang He, Yindong Chen:
Construction of Const Dimension Codes from Serval Parallel Lift MRD Code. - Ali Ayub, Alan R. Wagner:
Centroid-Based Scene Classification (CBSC): Using Deep Features and Clustering for RGB-D Indoor Scene Classification. - Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey:
A Game-Theoretic Approach to Covert Communications. - Jennifer Paykin, Eric Mertens, Mark Tullsen, Luke Maurer, Benoît Razet, Alexander Bakst, Scott Moore:
Weird Machines as Insecure Compilation. - Yuval Filmus, Noam Lifshitz, Dor Minzer, Elchanan Mossel:
AND Testing and Robust Judgement Aggregation. - Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. - Wenjie Lu, Dikai Liu:
A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances. - Peilin Zheng, Zibin Zheng, Hongning Dai:
XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum. - Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich:
PODNet: A Neural Network for Discovery of Plannable Options. - Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. - Neel Doshi, Francois Robert Hogan, Alberto Rodriguez:
Hybrid Differential Dynamic Programming for Planar Manipulation Primitives. - Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov:
Sequence Modeling with Unconstrained Generation Order. - Anindya De, Rocco A. Servedio:
Kruskal-Katona for convex sets, with applications. - Yifei Wang, Rui Liu, Yong Chen, Hui Zhang, Zhiwen Ye:
Regularized Non-negative Spectral Embedding for Clustering. - Yuxuan Sun, Sheng Zhou, Deniz Gündüz:
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data. - Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen:
Learning-based Real-time Detection of Intrinsic Reflectional Symmetry. - Chaochao Li, Pei Lv, Mingliang Xu, Xinyu Wang, Dinesh Manocha, Bing Zhou, Meng Wang:
Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians. - Chen Zhao, Jiaqi Yang, Xin Xiong, Angfan Zhu, Zhiguo Cao, Xin Li:
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology. - (Withdrawn) Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension.
- Pan Zhou, Ruchao Fan, Wei Chen, Jia Jia:
Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding. - Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang:
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning. - Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour, Christina Fragouli, Suhas N. Diggavi:
On Distributed Quantization for Classification. - Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar:
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions. - Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning with Differential Privacy: Algorithms and Performance Analysis. - Huanbiao Zhu, Werner Stuetzle:
A Simple and Efficient Method to Compute a Single Linkage Dendrogram. - Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui:
When Choosing Plausible Alternatives, Clever Hans can be Clever. - Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz:
Generating Justifications for Norm-Related Agent Decisions. - Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Machine Learning Using EtC Images. - Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Matthias Scheutz:
Engaging in Dialogue about an Agent's Norms and Behaviors. - Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino:
Extending Relational Query Processing with ML Inference. - Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. - Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati:
Active Learning with Siamese Twins for Sequence Tagging. - Ilya Chernykh, Ekaterina Lgotina:
Two-machine routing open shop on a tree: instance reduction and efficiently solvable subclass. - Kyoichiro Kobayashi, Takato Horii, Ryo Iwaki, Yukie Nagai, Minoru Asada:
Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning. - Erik Burman, Mats G. Larson, Peter Hansbo:
Cut Bogner-Fox-Schmit Elements for Plates. - Swe Geng, Georgia Giannopoulou, Maëlle Kabir-Querrec:
Privacy Protection in Distributed Fingerprint-based Authentication. - Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu:
Robust Federated Learning with Noisy Communication. - Eva Ahbe, Andrea Iannelli, Roy S. Smith:
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. - Yehuda Afek, Anat Bremler-Barr, David Hay, Ran Goldschmidt, Lior Shafir, Gafnit Abraham, Avraham Shalev:
NFV-based IoT Security for Home Networks using MUD. - Gerard Awanou:
Convergence of a damped Newton's method for discrete Monge-Ampere functions with a prescribed asymptotic cone. - Marko Mihajlovic, Ning Xiong:
Finding the most similar textual documents using Case-Based Reasoning. - Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen:
Robust contrastive learning and nonlinear ICA in the presence of outliers. - Johannes Bund, Christoph Lenzen, Moti Medina:
Optimal Metastability-Containing Sorting via Parallel Prefix Computation. - Kazutaka Matsuda:
A Modular Inference of Linear Types for Multiplicity-Annotated Arrows. - Vevake Balaraman, Bernardo Magnini:
A Robust Data-Driven Approach for Dialogue State Tracking of Unseen Slot Values. - Yuqing Kong:
Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. - Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. - Ahmed Al Amin, Soo Young Shin:
Capacity improvement of non-orthogonal multiple access downlink transmission by orbital angular momentum based mode division multiple access. - Avinash Madasu, Sivasankar Elango:
Efficient Feature Selection techniques for Sentiment Analysis. - Kiwook Bae, Heechang Ryu, Hayong Shin:
Does Adam optimizer keep close to the optimal point? - Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran:
Learning Hawkes Processes from a Handful of Events. - Stephanie van de Sandt, Lars Holm Nielsen, Alexandros Ioannidis, August Muench, Edwin A. Henneken, Alberto Accomazzi, Chiara Bigarella, Jose Benito Gonzalez Lopez, Sünje Dallmeier-Tiessen:
Practice meets Principle: Tracking Software and Data Citations to Zenodo DOIs. - Stefano Almi, Massimo Fornasier, Richard Huber:
Data-driven Evolutions of Critical Points. - Ayoub Mars, Ahmad Abadleh, Wael Adi:
Operator and Manufacturer Independent D2D Private Link for Future 5G Networks. - Yohei Hosoe, Tomomichi Hagiwara:
On Second-Moment Stability of Discrete-Time Linear Systems with General Stochastic Dynamics. - Emna Rejaibi, Daoud Kadoch, Kamil Bentounes, Romain Alfred, Mohamed Daoudi, Abdenour Hadid, Alice Othmani:
Clinical Depression and Affect Recognition with EmoAudioNet. - Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni:
Deep Bidirectional Transformers for Relation Extraction without Supervision. - Ignasi Mas, Josep Ramon Morros, Verónica Vilaplana:
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. - Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass:
On the Linguistic Representational Power of Neural Machine Translation Models. - David K. Zhang:
Discovering New Runge-Kutta Methods Using Unstructured Numerical Search. - Hao Deng, Shawn Hinnebusch, Albert C. To:
Topology Optimization Design of Stretchable Metamaterials with Bezier Skeleton Explicit Density (BSED) Representation Algorithm. - Suayb S. Arslan, James Peng, Turguy Goker:
A Data-Assisted Reliability Model for Carrier-Assisted Cold Data Storage Systems. - Daniel Goldfarb, Scott Evans:
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning. - Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang:
Learning a Representation for Cover Song Identification Using Convolutional Neural Network. - Roni Mateless, Michael Segal, Robert Moskovitch:
THAAD: Efficient Matching Queries under Temporal Abstraction for Anomaly Detection. - Anthony Ferritto, Lin Pan, Rishav Chakravarti, Salim Roukos, Radu Florian, J. William Murdock, Avirup Sil:
Ensembling Strategies for Answering Natural Questions. - Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale:
Short and Wide Network Paths. - Shuming Jiao, Yang Gao, Jun Feng, Ting Lei, Xiaocong Yuan:
Does deep learning always outperform simple linear regression in optical imaging? - Manuel López-Palma, Javier Gago, Montserrat Corbalan, Josep Ramon Morros:
Audience measurement using a top-view camera and oriented trajectories. - Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra:
Decentralized Distributed PPO: Solving PointGoal Navigation. - Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. - (Withdrawn) Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers.
- Twan Keijzer, Riccardo M. G. Ferrari:
A Sliding Mode Observer Approach for Attack Detection and Estimation in Autonomous Vehicle Platoons using Event Triggered Communication. - Marc Maceira, David Varas, Josep Ramon Morros, Javier Ruiz Hidalgo, Ferran Marqués:
3D hierarchical optimization for Multi-view depth map coding. - Süleyman Aslan, Ugur Güdükbay:
Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks. - Hamidreza Zarrabi, Ali Emami, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi:
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks. - Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
Generalized Mean Estimation in Monte-Carlo Tree Search. - Joseph Tassarotti, Jean-Baptiste Tristan, Koundinya Vajjha:
A Formal Proof of PAC Learnability for Decision Stumps. - Dandan Li, Yuan Zhou, Shuwei Huo, Sun-Yuan Kung:
Comb Convolution for Efficient Convolutional Architecture. - Indu John, Chandramouli Kamanchi, Shalabh Bhatnagar:
Generalized Speedy Q-learning. - Joshua Chen:
An Implementation of Homotopy Type Theory in Isabelle/Pure. - Paschalis Bizopoulos:
Sparsely Activated Networks: A new method for decomposing and compressing data. - Stefan S. Dantchev, Abdul Ghani, Barnaby Martin:
Sherali-Adams and the binary encoding of combinatorial principles. - Ariane Alves Almeida, Mauricio Ayala-Rincón:
Formalizing the Dependency Pair Criterion for Innermost Termination. - Jakob Lykke Andersen, Marc Hellmuth, Daniel Merkle, Nikolai Nøjgaard, Marco Peressotti:
A Graph-Based Tool to Embed the π-Calculus into a Computational DPO Framework. - Vincent Lostanlen, Kaitlin Palmer, Elly Knight, Christopher W. Clark, Holger Klinck, Andrew Farnsworth, Tina Wong, Jason Cramer, Juan Pablo Bello:
Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization. - Samyadeep Basu, Xuchen You, Soheil Feizi:
Second-Order Group Influence Functions for Black-Box Predictions. - Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches. - Pericles Philippopoulos, Alessandro Ricottone, Carlos G. Oliver:
Difficulty Scaling in Proof of Work for Decentralized Problem Solving. - Yun Bai, Suling Jia, Xixi Li:
Research and application of time series algorithms in centralized purchasing data. - Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet:
Surface Reconstruction from 3D Line Segments. - Argyrios Petras, Steven J. Ruuth:
PDEs on moving surfaces via the closest point method and a modified grid based particle method. - Danfei Xu, Misha Denil:
Positive-Unlabeled Reward Learning. - Omar U. Florez:
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media. - Leandro Gomes:
On the construction of multi-valued concurrent dynamic logic. - Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
ARSM Gradient Estimator for Supervised Learning to Rank. - Wieslaw Kopec, Marcin Wichrowski, Krzysztof Kalinowski, Anna Jaskulska, Kinga Skorupska, Daniel Cnotkowski, Jakub Tyszka, Agata Popieluch, Anna Voitenkova, Rafal Maslyk, Piotr Gago, Maciej Krzywicki, Monika Kornacka, Cezary Biele, Pawel Kobylinski, Jaroslaw Kowalski, Katarzyna Abramczuk, Aldona Zdrodowska, Grzegorz Pochwatko, Jakub Mozaryn, Krzysztof Marasek:
VR with Older Adults: Participatory Design of a Virtual ATM Training Simulation. - Masayoshi Mase, Art B. Owen, Benjamin Seiler:
Explaining black box decisions by Shapley cohort refinement. - Matthias Andres, Florian Schneider:
The second-order formulation of the PN equations with Marshak boundary conditions. - Michael Kuchnik, George Amvrosiadis, Virginia Smith:
Progressive Compressed Records: Taking a Byte out of Deep Learning Data. - Emad Elwany, Dave Moore, Gaurav Oberoi:
BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding. - Raymond R. Devillers, Evgeny Erofeev, Thomas Hujsa:
Synthesis of Weighted Marked Graphs from Constrained Labelled Transition Systems: A Geometric Approach. - Nurettin Sergin, Hao Yan:
High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders.