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ORCIDCoRR, March 2021
- Yanfang Mo, Qiulin Lin, Minghua Chen, Si-Zhao Joe Qin:
Online Peak-Demand Minimization Using Energy Storage.
- Daniel G. Waddington, Clem Dickey, Moshik Hershcovitch, Sangeetha Seshadri:
An Architecture for Memory Centric Active Storage (MCAS). - Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever:
Learning Transferable Visual Models From Natural Language Supervision. - Qiongwen Xu, Michael D. Wong, Tanvi Wagle, Srinivas Narayana, Anirudh Sivaraman:
Synthesizing Safe and Efficient Kernel Extensions for Packet Processing. - Dominik Aumayr, Stefan Marr, Sophie Kaleba, Elisa Gonzalez Boix, Hanspeter Mössenböck:
Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record & Replay. - Janice Chin, David Pearce:
Finding Bugs with Specification-Based Testing is Easy! - Sebastian Burckhardt, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn:
Serverless Workflows with Durable Functions and Netherite. - John Dunham
, Konstantinos Papangelis, Nicolas J. LaLone, Yihong Wang:
Casual and Hardcore Player Traits and Gratifications of Pokémon GO, Harry Potter: Wizards Unite, Ingress. - Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu:
Practical and Private (Deep) Learning without Sampling or Shuffling. - Georgios Bakirtzis, Fabrizio Genovese, Cody Harrison Fleming:
Yoneda Hacking: The Algebra of Attacker Actions. - Abhijat Biswas, Allan Wang, Gustavo Silvera, Aaron Steinfeld, Henny Admoni:
SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation. - Andreas Stöckel:
Constructing Dampened LTI Systems Generating Polynomial Bases. - Reyhan Kevser Keser, Aydin Ayanzadeh, Omid Abdollahi Aghdam, Çaglar Kilcioglu, Behçet Ugur Töreyin, Nazim Kemal Ure:
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation. - Shiyu Feng, Zixuan Wu, Yipu Zhao, Patricio A. Vela:
Trajectory Servoing: Image-Based Trajectory Tracking Using SLAM. - Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone:
Scalable Multiagent Driving Policies For Reducing Traffic Congestion. - Yikun Ban, Jingrui He:
Local Clustering in Contextual Multi-Armed Bandits. - J. Nathan Matias, Austin Hounsel, Nick Feamster:
Software-Supported Audits of Decision-Making Systems: Testing Google and Facebook's Political Advertising Policies. - Jeremy M. Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar:
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. - Jakob Meldgaard Kjær, Lasse Kristensen, Mads Alberg Christensen:
Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction. - Isaac Johnson, Martin Gerlach, Diego Sáez-Trumper:
Language-agnostic Topic Classification for Wikipedia. - Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen:
Knowledge-aware Zero-Shot Learning: Survey and Perspective. - Nan Jiang, Thibaud Lutellier, Lin Tan:
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. - Yingxue Zhou, Xinyan Li, Arindam Banerjee:
Noisy Truncated SGD: Optimization and Generalization. - Haitao Wang:
An Optimal Deterministic Algorithm for Geodesic Farthest-Point Voronoi Diagrams in Simple Polygons. - Anne Canteaut, Alain Couvreur, Léo Perrin:
Recovering or Testing Extended-Affine Equivalence. - C. Sinan Güntürk, Weilin Li:
Quantization for spectral super-resolution. - Xiang Sun, Kenichi Soga, Alp Cinar, Zhenxiang Su, Kecheng Chen, Krishna Kumar, Patrick F. Dobson, Peter S. Nico:
An HPC-Based Hydrothermal Finite Element Simulator for Modeling Underground Response to Community-Scale Geothermal Energy Production. - Leandro Eichenberger, Michael Cochez, Benjamin Heitmann, Stefan Decker:
Secure Evaluation of Knowledge Graph Merging Gain. - Ce Wang, Moshiur R. Farazi, Nick Barnes:
Recursive Training for Zero-Shot Semantic Segmentation. - Jun Hu, Yizhou Liang, Rui Ma:
Conforming finite element DIVDIV complexes and the application for the linearized Einstein-Bianchi system. - André Merzky, Matteo Turilli, Mikhail Titov, Aymen Al-Saadi, Shantenu Jha:
Design and Performance Characterization of RADICAL-Pilot on Leadership-class Platforms. - Md Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun:
The Age of Correlated Features in Supervised Learning based Forecasting. - Parth Sane:
A Brief Survey of Current Software Engineering Practices in Continuous Integration and Automated Accessibility Testing. - Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Reducing Conservativeness Oriented Offline Reinforcement Learning. - Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare:
Dynamic Oversampling Tecniques for 1-Bit ADCs in Large-Scale MIMO Systems. - Tadashi Kozuno, Yunhao Tang, Mark Rowland, Rémi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel:
Revisiting Peng's Q(λ) for Modern Reinforcement Learning. - Ye Zhang, Yuan Cao, Mahdis Mahdieh, Jeffrey Zhao, Yonghui Wu:
Improving Longer-range Dialogue State Tracking. - Yichong Leng, Xu Tan, Sheng Zhao, Frank K. Soong, Xiangyang Li, Tao Qin:
MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network. - Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. - Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. - Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. - Yang Yan, Qiuyan Wang:
ISHNE: Influence Self-attention for Heterogeneous Network Embedding. - Ali Pourramezan Fard, Hojjat Abdollahi, Mohammad H. Mahoor:
Deep Active Shape Model for Face Alignment and Pose Estimation in Mobile Environment. - Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Zohreh Azizi, C.-C. Jay Kuo:
Successive Subspace Learning: An Overview. - KrishnaTeja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer:
GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. - Muhammad Usman, Yannic Noller, Corina S. Pasareanu, Youcheng Sun, Divya Gopinath:
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks. - Swaroop Panda, Vinay P. Namboodiri, Shatarupa Thakurta Roy:
Visualizing Music Genres using a Topic Model. - Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer:
PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. - Swaroop Panda, Shatarupa Thakurta Roy:
Music Genre Bars. - Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. - Erfan Nozari, Robert Planas, Jorge Cortés:
Structural Characterization of Oscillations in Brain Networks with Rate Dynamics. - Takeshi Teshima, Masashi Sugiyama:
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation. - Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal:
Meta-Learning with Graph Neural Networks: Methods and Applications. - Mohammad Ali Javidian, Om Pandey, Pooyan Jamshidi:
Scalable Causal Transfer Learning. - Fei Li, Xiangxu Li, Jun Luo, Shiwei Fan, Hongbo Zhang:
Open-set Intersection Intention Prediction for Autonomous Driving. - Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li:
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. - Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson:
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models. - Fei Li, Shiwei Fan, Pengzhen Chen, Xiangxu Li:
Pedestrian Motion State Estimation From 2D Pose. - Vinu Sankar Sadasivan, Anirban Dasgupta:
Statistical Measures For Defining Curriculum Scoring Function. - Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander:
Scalable federated machine learning with FEDn. - Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein:
Detecting Abusive Language on Online Platforms: A Critical Analysis. - B. D. M. De Zoysa, Y. A. M. M. A. Ali, M. D. I. Maduranga, Indika Perera, Saliya Ekanayake, Anil Vullikanti:
Parallel Algorithms for Densest Subgraph Discovery Using Shared Memory Model. - Yanjie Jiang, Hui Liu, Nan Niu, Lu Zhang, Yamin Hu:
Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems. - Renzhe Yu, John Scott, Zachary A. Pardos:
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment. - Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. - Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning based Disease Diagnosis on Clinical Notes. - Dirk Fahland, Vadim Denisov, Wil M. P. van der Aalst:
Inferring Unobserved Events in Systems With Shared Resources and Queues. - Mazhar Ali, Elena N. Gryazina, Anatoly Dymarsky, Petr Vorobev:
Voltage Feasibility Boundaries for Power System Security Assessment. - Rodrigo Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles, Yijian Liu, Marcos Kalinowski:
Data Management in Microservices: State of the Practice, Challenges, and Research Directions. - AbuBakr Awad, Wei Pang, David Lusseau, George M. Coghill:
A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications. - Mayank Gokarna:
Reasons behind growing adoption of Cloud after Covid-19 Pandemic and Challenges ahead. - Kostas Kolomvatsos, Christos Anagnostopoulos:
A Soft Method for Outliers Detection at the Edge of the Network. - Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan:
Incorporating Domain Knowledge into Deep Neural Networks. - Ji Zhou, Chengkun Yang, Dawei Wang, Qi Sui, Haide Wang, Shecheng Gao, Yuanhua Feng, Weiping Liu, Yuelin Yan, Jianping Li, Changyuan Yu, Zhaohui Li:
Burst-Error Propagation Suppression for Decision-Feedback Equalizer in Field-Trial Submarine Fiber-Optic Communications. - Michael Walton, Viliam Lisý:
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report. - Zhepei Wang, Xin Zhou, Chao Xu, Fei Gao:
Geometrically Constrained Trajectory Optimization for Multicopters. - Anna Konrad, Ciarán Eising, Ganesh Sistu, John B. McDonald, Rudi C. Villing, Senthil Kumar Yogamani:
FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images. - Kingshuk Majumder, Uday Bondhugula:
HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description. - Abdul Hameed Azeemi, Adeel Waheed:
COVID-19 Tweets Analysis through Transformer Language Models. - Wenrui Gan, Zhulin Liu, C. L. Philip Chen, Tong Zhang:
Siamese Labels Auxiliary Network(SiLaNet). - Giulia Crocioni, Giambattista Gruosso, Danilo Pau, Davide Denaro, Luigi Zambrano, Giuseppe di Giore:
Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers. - Lifeng Xie, Xiaowen Cao, Jie Xu, Rui Zhang:
UAV-Enabled Wireless Power Transfer: A Tutorial Overview. - Hao Chen, Zipeng Qi, Zhenwei Shi:
Efficient Transformer based Method for Remote Sensing Image Change Detection. - Steven X. Ding, Linlin Li, Dong Zhao, Chris Louen, Tianyu Liu:
Application of the unified control and detection framework to detecting stealthy integrity cyber-attacks on feedback control systems. - Hyunseung Kim, Jonggeol Na, Won Bo Lee:
Generative chemical transformer: attention makes neural machine learn molecular geometric structures via text. - Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst:
ProbLP: A framework for low-precision probabilistic inference. - Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, Yang Liu:
Countering Malicious DeepFakes: Survey, Battleground, and Horizon. - Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. - Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data. - András Kovács:
Generalized Universe Hierarchies and First-Class Universe Levels. - Tohid Soleymani Aghdam, Seyed Mohammad Mahdi Alavi, Mehrdad Saif:
Structural Identifiability of Impedance Spectroscopy Fractional-Order Equivalent Circuit Models With Two Constant Phase Elements. - EmadelDin A. Mazied, Lingjia Liu, Scott F. Midkiff:
Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges. - Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang:
Neuron Coverage-Guided Domain Generalization. - Eniafe Festus Ayetiran, Petr Sojka, Vít Novotný:
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses. - Junru Luo, Hong Qiao, Bo Zhang:
Learning with Smooth Hinge Losses. - Dan You, Shouguang Wang, Carla Seatzu:
Generalized Current-State Opacity With Dynamically Changing Secrets. - Mete Seref Ahunbay, Adrian Vetta:
Improved Two Sample Revenue Guarantees via Mixed-Integer Linear Programming. - Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu, Yanpeng Cao:
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection. - Artyom M. Grigoryan, Sos S. Agaian:
Color-Coded Symbology and New Computer Vision Tool to Predict the Historical Color Pallets of the Renaissance Oil Artworks. - Floor Verhoeven, Amir Vaxman, Tim Hoffmann, Olga Sorkine-Hornung:
Dev2PQ: Planar Quadrilateral Strip Remeshing of Developable Surfaces. - Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh:
Neural Architecture Search From Task Similarity Measure. - Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. - Boyan Gao, Henry Gouk, Timothy M. Hospedales:
Searching for Robustness: Loss Learning for Noisy Classification Tasks. - Cleophas Kweyu, Lihong Feng, Matthias Stein, Peter Benner:
Reduced basis method for the nonlinear Poisson-Boltzmann equation regularized by the range-separated canonical tensor format. - Silvia Noschese, Lothar Reichel:
Estimating and increasing the structural robustness of a network. - Alina Elena Baia, Gabriele Di Bari, Valentina Poggioni:
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach. - Harsh Agarwal, Navyata Sanghvi, Vivek Roy, Kris Kitani:
DeepBLE: Generalizing RSSI-based Localization Across Different Devices. - Armin Goudarzi, Carsten Spehr, Steffen Herbold:
Expert decision support system for aeroacoustic classification. - Jiebin Yan, Yu Zhong, Yuming Fang, Zhangyang Wang, Kede Ma:
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition. - Claudio Mura, Renato Pajarola, Konrad Schindler, Niloy J. Mitra:
Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories. - Pablo Alexei Gazca-Orozco:
A semismooth Newton method for implicitly constituted non-Newtonian fluids and its application to the numerical approximation of Bingham flow. - Alex Lamb:
A Brief Introduction to Generative Models. - Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst:
Acceleration of probabilistic reasoning through custom processor architecture. - Naoki Wake, Daichi Saito, Kazuhiro Sasabuchi, Hideki Koike, Katsushi Ikeuchi:
Object affordance as a guide for grasp-type recognition. - Yi Li, Shaohua Wang, Tien N. Nguyen:
A Context-based Automated Approach for Method Name Consistency Checking and Suggestion. - Yi Li, Shaohua Wang, Tien N. Nguyen:
Fault Localization with Code Coverage Representation Learning. - Philipp Steinbach, Daniel Otto Schulte, Bastian Welsch, Ingo Sass, Jens Lang:
Quantification of Bore Path Uncertainty in Borehole Heat Exchanger Arrays. - Tianyu Zhang, Xiangjia Chen, Guoxin Fang, Yingjun Tian, Charlie C. L. Wang:
Singularity-aware motion planning for multi-axis additive manufacturing. - Daniel Zhengyu Huang, Jiaoyang Huang:
Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution. - John Baillieul, Feiyang Kang:
Visual Navigation with a 2-pixel Camera - Possibilities and Limitations. - Amir Ziaee, Raziyeh Dehbozorgi, Mario Döller:
A Novel Adaptive Deep Network for Building Footprint Segmentation. - Yitong Li, Duoduo Liao, Jundong Li, Wenying Ji:
Automated Generation of Interorganizational Disaster Response Networks through Information Extraction. - Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch:
On Optimizing the Trade-off between Privacy and Utility in Data Provenance. - Taha Aksu, Nancy F. Chen, Min-Yen Kan, Zhengyuan Liu:
A Simple But Effective Approach to n-shot Task-Oriented Dialogue Augmentation. - Shahar Maoz, Rafi Shalom:
Unrealizable Cores for Reactive Systems Specifications. - Stefanie Günther, Will Pazner, Dongping Qi:
Spline parameterization of neural network controls for deep learning. - Simón Gutiérrez Brida, Germán Regis, Guolong Zheng, Hamid Bagheri, ThanhVu Nguyen, Nazareno Aguirre, Marcelo F. Frias:
Bounded Exhaustive Search of Alloy Specification Repairs. - Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, Kristian Gustavsson:
Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning. - Daniela Kuinchtner, Afonso Sales, Felipe Meneguzzi:
CP-MDP: A CANDECOMP-PARAFAC Decomposition Approach to Solve a Markov Decision Process Multidimensional Problem. - Ziyun Yang, Somayyeh Soltanian-Zadeh, Sina Farsiu:
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection. - Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli, Yoshua Bengio:
Transformers with Competitive Ensembles of Independent Mechanisms. - Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Constrained Differentially Private Federated Learning for Low-bandwidth Devices. - Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu:
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering.