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ORCIDCoRR, February 2021
- Abderrazak Chahid
, Ibrahima N'Doye, John E. Majoris, Michael L. Berumen, Taous-Meriem Laleg-Kirati:
Model Predictive Control Paradigms for Fish Growth Reference Tracking in Precision Aquaculture.
- Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Gesture Recognition in Robotic Surgery: a Review. - Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter:
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. - Joseph Lubars, Anna Winnicki, Michael Livesay, R. Srikant:
Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure. - Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. - Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky:
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. - Erik Burman, Peter Hansbo, Mats G. Larson:
Error estimates for the Smagorinsky turbulence model: enhanced stability through scale separation and numerical stabilization. - Soham Chakraborty, Sourav Patel, Murti V. Salapaka:
Recovery of Power Flow to Critical Infrastructures using Mode-dependent Droop-based Inverters. - Hemant Kumar Aggarwal, Mathews Jacob:
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. - Meir Feder, Yury Polyanskiy:
Sequential prediction under log-loss and misspecification. - Aleksander Czechowski, Georgios Piliouras:
Poincaré-Bendixson Limit Sets in Multi-Agent Learning. - Xiaohan Kang, Bruce E. Hajek:
Lower Bounds on Information Requirements for Causal Network Inference. - Michael Chiu, Uros Kalabic:
Debt Representation in UTXO Blockchains. - Jae Shin Yoon, Kihwan Kim, Jan Kautz, Hyun Soo Park:
Neural 3D Clothes Retargeting from a Single Image. - Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei:
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference. - Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin:
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. - Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox:
Reduced operator inference for nonlinear partial differential equations. - Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. - Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
Challenges in Automated Debiasing for Toxic Language Detection. - Amjad Dehman, Bilal Farooq:
Are Work Zones and Connected Automated Vehicles Ready for a Harmonious Coexistence? A Scoping Review and Research Agenda. - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs. - Ling Huang, Su Ruan, Thierry Denoeux:
Belief function-based semi-supervised learning for brain tumor segmentation. - Sangjun Lee, Byung-Cheol Min:
Distributed Control of Multi-Robot Systems in the Presence of Deception and Denial of Service Attacks. - Henrique Ferraz de Arruda, Felipe Maciel Cardoso, Guilherme Ferraz de Arruda, Alexis R. Hernandez, Luciano da F. Costa, Yamir Moreno:
Modeling how social network algorithms can influence opinion polarization. - Hailiang Liu, Zhongming Wang, Peimeng Yin, Hui Yu:
Positivity-preserving third order DG schemes for Poisson--Nernst--Planck equations. - Nathan Clement, Alan Schoen, Arnold P. Boedihardjo, Andrew Jenkins:
Synthetic Data and Hierarchical Object Detection in Overhead Imagery. - Melven Röhrig-Zöllner, Jonas Thies, Achim Basermann:
Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors. - Martin R. Pfaller, Jonathan Pham, Nathan M. Wilson, David W. Parker, Alison L. Marsden:
On the periodicity of cardiovascular fluid dynamics simulations. - Jasmine Sekhon, Cody H. Fleming:
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction. - Yixuan Wu, Yanzhi Zhang:
A universal solution scheme for fractional and classical PDEs. - Parker B. Edwards, Jonathan D. Hauenstein, Clifford D. Smyth:
Certified evaluations of Hölder continuous functions at roots of polynomials. - Konpal Shaukat Ali, Ekram Hossain, Md. Jahangir Hossain:
Partial Non-Orthogonal Multiple Access (NOMA) in Downlink Poisson Networks. - Maruan Al-Shedivat, Liam Li, Eric Po Xing, Ameet Talwalkar:
On Data Efficiency of Meta-learning. - Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova:
The effect of differential victim crime reporting on predictive policing systems. - Donald M. Stull:
The Dimension Spectrum Conjecture for Planar Lines. - Guanghui Lan:
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes. - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. - Ivan V. Bajic:
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection. - Shahram Mollahasani, Melike Erol-Kantarci, Mahdi Hirab, Hoda Dehghan, Rodney Wilson:
Actor-Critic Learning Based QoS-Aware Scheduler for Reconfigurable Wireless Networks. - Roel Van Beeumen, Lana Perisa, Daniel Kressner, Chao Yang:
A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems. - Mingliang Xiong, Mingqing Liu, Qingwei Jiang, Jie Zhou, Qingwen Liu, Hao Deng:
Retro-Reflective Beam Communications with Spatially Separated Laser Resonator. - Haruya Sakashita, Christoph Flothow, Noriko Takemura, Yusuke Sugano:
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation. - Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. - Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models. - Alexander Zeier, Alexander Wiesmaier, Andreas Heinemann:
Zur Integration von Post-Quantum Verfahren in bestehende Softwareprodukte. - Soravitt Sangnark, Phairot Autthasan, Puntawat Ponglertnapakorn, Phudit Chalekarn, Thapanun Sudhawiyangkul, Manatsanan Trakulruangroj, Sarita Songsermsawad, Rawin Assabumrungrat, Supalak Amplod, Kajornvut Ounjai, Theerawit Wilaiprasitporn:
Revealing Preference in Popular Music Through Familiarity and Brain Response. - S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari, Shiv Ram Dubey, Snehasis Mukherjee:
Deep Model Compression based on the Training History. - Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. - Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai:
Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. - Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? - Chao Li, Balaji Palanisamy, Runhua Xu, Jinlai Xu, Jingzhe Wang:
SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform. - Tiffany Hwu, Mia Levy, Steven Skorheim, David Huber:
Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction. - Letizia Jaccheri, Cristina Pereira, Swetlana Fast:
Gender Issues in Computer Science: Lessons Learnt and Reflections for the Future. - Zizhe Wang, Shaomeng Shen, Jiabei Mu:
Coupling innovation method and feasibility analysis of garbage classification. - Nicola Melluso, Andrea Bonaccorsi, Filippo Chiarello, Gualtiero Fantoni:
Rapid detection of fast innovation under the pressure of COVID-19. - Yaoyu Zhang, Tao Luo, Zheng Ma, Zhi-Qin John Xu:
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks. - Andres Ferraro, Yuntae Kim, Soohyeon Lee, Biho Kim, Namjun Jo, Semi Lim, Suyon Lim, Jungtaek Jang, Sehwan Kim, Xavier Serra, Dmitry Bogdanov:
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging. - Gang Peng, Zhenyu Ren, Hao Wang, Xinde Li:
A self-supervised learning-based 6-DOF grasp planning method for manipulator. - Christian M. Dahl, Emil N. Sørensen:
Time Series (re)sampling using Generative Adversarial Networks. - George Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. - Jaime Moraga, Gurbet Gurkan, H. Sebnem Düzgün:
Monitoring the Impacts of a Tailings Dam Failure Using Satellite Images. - Nikita P. Desai, Vipul K. Dabhi:
Taxonomic survey of Hindi Language NLP systems. - Ari Pakman, Dar Gilboa, Elad Schneidman:
Estimating the Unique Information of Continuous Variables. - Jiawei Zhang, Yanchun Zhang, Xiaowei Xu:
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation. - Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements within Asynchronous Task-based Runtime Systems: A Double White Dwarf Merger as an Application. - Tong Guo:
Learning From How Human Correct. - Matteo Macchini, Manana Lortkipanidze, Fabrizio Schiano, Dario Floreano:
The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation. - Radu Dogaru, Ioana Dogaru:
NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution. - Chengwei Zhang, Yangzhou Jiang, Wei Zhang, Chengyu Gu:
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing. - Pranali Bora, Tulika Awalgaonkar, Himanshu Palve, Raviraj Joshi, Purvi Goel:
ICodeNet - A Hierarchical Neural Network Approach for Source Code Author Identification. - Ruo Li, Wei Zhong:
An efficient mapped WENO scheme using approximate constant mapping. - Xuejun Li, Ran Ding, Xiao Liu, Jia Xu, Yun Yang, John C. Grundy:
EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems. - Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi:
Phase Transition for Support Recovery from Gaussian Linear Measurements. - Rutuja Taware, Shraddha Varat, Gaurav Salunke, Chaitanya Gawande, Geetanjali Kale, Rahul Khengare, Raviraj Joshi:
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models. - Qing-Long Zhang, Yu-Bin Yang:
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks. - Shilun Lin, Fenglong Xie, Xinhui Li, Li Lu:
Triple M: A Practical Neural Text-to-speech System With Multi-guidance Attention And Multi-band Multi-time Lpcnet. - Yiqiu Dong, Chunlin Wu, Shi Yan:
A fast method for simultaneous reconstruction and segmentation in X-ray CT application. - Sebastian Vizcay, Panagiotis Kourtesis, Ferran Argelaguet, Claudio Pacchierotti, Maud Marchal:
Electrotactile Feedback in Virtual Reality For Precise and Accurate Contact Rendering. - Sabah Al-Fedaghi:
Conceptual Temporal Modeling Applied to Databases. - Jakob Stolberg-Larsen, Stefan Sommer:
Atlas Generative Models and Geodesic Interpolation. - Joanna Grzyb, Jakub Klikowski, Michal Wozniak:
Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification. - Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li:
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. - Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya:
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction. - Rafael F. Reale, Walter da Costa Pinto Neto, Joberto S. B. Martins:
BAMSim Simulator. - William W. Howard, Charles E. Thornton, Anthony F. Martone, R. Michael Buehrer:
Multi-player Bandits for Distributed Cognitive Radar. - Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam:
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. - Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. - Wen-Chin Huang, Chia-Hua Wu, Shang-Bao Luo, Kuan-Yu Chen, Hsin-Min Wang, Tomoki Toda:
Speech Recognition by Simply Fine-tuning BERT. - Seyed Ziae Mousavi Mojab, Seyedmohammad Shams, Hamid Soltanian-Zadeh, Farshad Fotouhi:
Epistocracy Algorithm: A Novel Hyper-heuristic Optimization Strategy for Solving Complex Optimization Problems. - Chris Hobbs, Waqar Ahmed:
Using Bayesian Modelling to Predict Software Incidents. - Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das:
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? - Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler:
Deep Learning-Based Scene Simplification for Bionic Vision. - Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations. - Mahbubur Rahman, Dali Ismail, Venkata P. Modekurthy, Abusayeed Saifullah:
LPWAN in the TV White Spaces: A Practical Implementation and Deployment Experiences. - Wendson A. S. Barbosa, Aaron Griffith, Graham E. Rowlands, Luke C. G. Govia, Guilhem J. Ribeill, Minh-Hai Nguyen, Thomas A. Ohki, Daniel J. Gauthier:
Symmetry-Aware Reservoir Computing. - Violet Xinying Chen, John N. Hooker:
Fairness through Optimization. - Ilya Kavalerov, Frank Zheng, Wojciech Czaja, Rama Chellappa:
Cortical Features for Defense Against Adversarial Audio Attacks. - Gal Vardi, Daniel Reichman, Toniann Pitassi, Ohad Shamir:
Size and Depth Separation in Approximating Natural Functions with Neural Networks. - Pedram Fekri, Ali Akbar Safavi, Mehrdad Hosseini Zadeh, Peyman Setoodeh:
Metalearning: Sparse Variable-Structure Automata. - Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
Efficient CNN Building Blocks for Encrypted Data. - Orestis Papadigenopoulos, Constantine Caramanis:
Recurrent Submodular Welfare and Matroid Blocking Bandits. - Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal:
A Supervised Learning Approach for Robust Health Monitoring using Face Videos. - Juan Felipe Hernández Albarracín, Adín Ramírez Rivera:
Video Reenactment as Inductive Bias for Content-Motion Disentanglement. - Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong:
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. - Li Zhou, Gilles Barthe, Justin Hsu, Mingsheng Ying, Nengkun Yu:
A Quantum Interpretation of Bunched Logic for Quantum Separation Logic. - Milad Vaali Esfahaani, Yanbo Xue, Peyman Setoodeh:
Deep Reinforcement Learning-Based Product Recommender for Online Advertising. - Benjamin Capps, Jacob Schrum:
Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man. - Prosenjit Bose, Pilar Cano, Rolf Fagerberg, John Iacono, Riko Jacob, Stefan Langerman:
Fragile Complexity of Adaptive Algorithms. - Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh:
Enacted Visual Perception: A Computational Model based on Piaget Equilibrium. - Mir Lodro, Steve Greedy, Sirio Belga Fedeli, Christopher Smartt, Ana Vukovic, David W. P. Thomas, Gabriele Gradoni:
Statistical Characterization of Wireless MIMO Channels in Mode-Stirred Enclosures. - Xue-Lei Lin, Michael K. Ng, Yajing Zhi:
A parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel. - Lingtong Kong, Xiaohang Yang, Jie Yang:
OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow. - Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang:
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. - Zhian Kuang, Liting Sun, Huijun Gao, Masayoshi Tomizuka:
Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm. - Yunkai Yu, Zhihong Yang, Yuyang You, Guozheng Liu, Peiyao Li, Zhicheng Yang, Wenjing Shan:
Spectral Roll-off Points: Estimating Useful Information Under the Basis of Low-frequency Data Representations. - Wei Jiang, Buyang Li:
A perimeter-decreasing and area-conserving algorithm for surface diffusion flow of curves. - Wissam Kontar, Soyoung Ahn:
Real-time Monitoring of Autonomous Vehicle's Time Gap Variations: A Bayesian Framework. - Bing Wei, Kuangrong Hao, Lei Gao:
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images. - Yishuai Li, Benjamin C. Pierce, Steve Zdancewic:
Model-Based Testing of Networked Applications. - Stephanie Ger, Diego Klabjan, Jean Utke:
Classification Models for Partially Ordered Sequences. - Yang Zhang, Moyun Liu, Yang Yang, Yanwen Guo, Huiming Zhang:
A Unified Light Framework for Real-time Fault Detection of Freight Train Images. - Ruchit Agrawal, Daniel Wolff, Simon Dixon:
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks. - Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. - Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. - Lanbo Lin, Yujiu Yang, Zhenhua Guo:
AACP: Model Compression by Accurate and Automatic Channel Pruning. - Majid Asgari-Bidhendi, Behrooz Janfada, Amir Havangi, Sayyed-Ali Hossayni, Behrouz Minaei-Bidgoli:
An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages. - Liqun Yang, Yijun Yang, Yao Wang, Zhenyu Yang, Wei Zeng:
The distance between the weights of the neural network is meaningful. - Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. - Ralf R. Müller, Bernhard Gäde, Ali Bereyhi:
Linear Computation Coding. - Pooja Nayak Muralidhar, B. Sundar Rajan:
Multi-access Coded Caching from a New Class of Cross Resolvable Designs.