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CoRR, January 2021
- Sayantan Choudhury, Sachin Panneer Selvam, K. Shirish:
Circuit Complexity From Supersymmetric Quantum Field Theory With Morse Function. - Ying Zhao Lian, Colin N. Jones:
Nonlinear Data-Enabled Prediction and Control. - Djallel Bouneffouf:
Etat de l'art sur l'application des bandits multi-bras. - Alberto Racca, Luca Magri:
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). - Edward Hermann Haeusler:
Yet another argument in favour of NP=CoNP. - Maryam Akbari-Moghaddam, Douglas G. Down:
A near-optimal policy for single-server scheduling with estimated job sizes. - Munachiso Nwadike, Takumi Miyawaki, Esha Sarkar, Michail Maniatakos, Farah Shamout:
Explainability Matters: Backdoor Attacks on Medical Imaging. - Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
Unnatural Language Inference. - Nikolaos Kekatos:
Encoding sinusoidal functions in hybrid automata formalism. - Simina Brânzei, Yuval Peres:
Consensus with Bounded Space and Minimal Communication. - Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, Connor Leahy:
The Pile: An 800GB Dataset of Diverse Text for Language Modeling. - Maciej Skorski:
Random Embeddings with Optimal Accuracy. - Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang:
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries. - Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki:
KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records. - Arash Saeidi Rashk Olia, Dunja Peric:
Effects of Axial Load on the Location of a Combined Null Point in Energy Piles. - Philippe Casgrain, Anastasis Kratsios:
Optimizing Optimizers: Regret-optimal gradient descent algorithms. - Paavo Nevalainen, Parisa Movahedi, Jorge Peña Queralta, Tomi Westerlund, Jukka Heikkonen:
Long-Term Autonomy in Forest Environment using Self-Corrective SLAM. - Arash Saeidi Rashk Olia, Dunja Peric:
Effects of End Restraints on Thermo-Mechanical Response of Energy Piles. - Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi:
Federated Nonconvex Sparse Learning. - Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. - Abhijit Das, John Jose, Prabhat Mishra:
Data Criticality in Multi-Threaded Applications: An Insight for Many-Core Systems. - Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah, Mika Hama, Roger Zimmermann:
Towards Modelling Coherence in Spoken Discourse. - Mark Law:
Conflict-driven Inductive Logic Programming. - Thomas E. Valles, Hannah Shoenhard, Joseph Zinski, Sarah Trick, Mason A. Porter, Michael R. Lindstrom:
Networks of Necessity: Simulating Strategies for COVID-19 Mitigation among Disabled People and Their Caregivers. - Simina Brânzei, Jiawei Li:
The Query Complexity of Local Search and Brouwer in Rounds. - Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang:
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. - Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. - Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao:
Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. - Tomaso A. Poggio, Qianli Liao:
Explicit regularization and implicit bias in deep network classifiers trained with the square loss. - Zhifeng Yu, Nanchun Shi:
A Multi-modal Deep Learning Model for Video Thumbnail Selection. - Anjalie Field, Chan Young Park, Yulia Tsvetkov:
Controlled Analyses of Social Biases in Wikipedia Bios. - Murat Kuscu, Özgür B. Akan:
Detection in Molecular Communications with Ligand Receptors under Molecular Interference. - Shiv Shankar, Don Towsley:
Bosonic Random Walk Networks for Graph Learning. - Denis Kolegov, Yulia Khalniyazova, Denis Varlakov:
Towards Threshold Key Exchange Protocols. - Emanuele Guidotti:
calculus: High Dimensional Numerical and Symbolic Calculus in R. - Américo Rio, Fernando Brito e Abreu:
PHP code smells in web apps: survival and anomalies. - Christian Nwachioma, Jose Humberto Pérez-Cruz:
Analysis of a new chaotic system, electronic realization and use in navigation of differential drive mobile robot. - Marzieh Ershad, Robert Rege, Ann Majewicz Fey:
Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues. - Yuan Liang, Liang Qiu, Tiancheng Lu, Zhujun Fang, Dezhan Tu, Jiawei Yang, Tiandong Zhao, Yiting Shao, Kun Wang, Xiang 'Anthony' Chen, Lei He:
OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray. - Leonid A. Levin:
The Dual Matrix Algorithm for Linear Programming. - Nikolaos Kekatos:
Verifying a Cruise Control System using Simulink and SpaceEx. - Asmaa Alrushoud, Catie McEntee, Ning Lu:
A Zonal Volt/VAR Control Mechanism for High PV Penetration Distribution Systems. - Ali H. Abdollahi Bafghi, Mahtab Mirmohseni, Mohammad Reza Aref:
Achievable Rates for Binary Two-hop Channel with Energy Harvesting Relay With Finite Battery. - Eric Jiang, Meng-Hsi Chen, Ben Liang, Min Dong:
Task Offloading and Resource Allocation with Multiple CAPs and Selfish Users. - Donald J. Hammerstrom, Yashodhan P. Agalgaonkar, Stephen T. Elbert:
Energy Performance Analysis of Distributed Renewables: Pacific Northwest Smart Grid Demonstration. - Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-task Retrieval for Knowledge-Intensive Tasks. - Karen Hambardzumyan, Hrant Khachatrian, Jonathan May:
WARP: Word-level Adversarial ReProgramming. - Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji:
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More. - Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang:
Intent Classification and Slot Filling for Privacy Policies. - Xiao Guo, I-Hung Hsu, Wael AbdAlmageed, Premkumar Natarajan, Nanyun Peng:
MrGCN: Mirror Graph Convolution Network for Relation Extraction with Long-Term Dependencies. - Terence Wong, Markus Wagner, Christoph Treude:
Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains. - Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. - Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek:
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach. - Yan Wang:
Sub-Gaussian Error Bounds for Hypothesis Testing. - Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers. - Orchi Hassan, Supriyo Datta, Kerem Yunus Çamsari:
Quantitative Evaluation of Hardware Binary Stochastic Neurons. - Haoyue Shi, Luke Zettlemoyer, Sida I. Wang:
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. - Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur:
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. - Hailiang Liu, Peimeng Yin:
Energy stable Runge-Kutta discontinuous Galerkin schemes for fourth order gradient flows. - Liu Bin, Wang Liang, Guosheng Yin:
A Graph Total Variation Regularized Softmax for Text Generation. - Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, Bin He:
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge. - Jing Lin, Ryan Luley, Kaiqi Xiong:
Active Learning Under Malicious Mislabeling and Poisoning Attacks. - David Enthoven, Zaid Al-Ars:
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning. - Hyunjae Kim, Jaewoo Kang:
How Do Your Biomedical Named Entity Models Generalize to Novel Entities? - Jin Gyu Lee, Hyungbo Shim:
Design of heterogeneous multi-agent system for distributed computation. - Yi Cheng, Sujian Li, Yueyuan Li:
Unifying Discourse Resources with Dependency Framework. - Daniel Szelogowski:
Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers. - Daniel Szelogowski:
Visualization Techniques with Data Cubes: Utilizing Concurrency for Complex Data. - Daniel Szelogowski:
Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation. - Daniel Szelogowski:
Chunk List: Concurrent Data Structures. - Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki:
CIZSL++: Creativity Inspired Generative Zero-Shot Learning. - Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. - Sunil Gundapu, Radhika Mamidi:
Transformer based Automatic COVID-19 Fake News Detection System. - Md. Touhidul Islam, Sanjida Reza Rafa, Md. Golam Kibria:
Early Prediction of Heart Disease Using PCA and Hybrid Genetic Algorithm with k-Means. - Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. - Xiang Lisa Li, Percy Liang:
Prefix-Tuning: Optimizing Continuous Prompts for Generation. - Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles. - Zhengxuan Wu, Desmond C. Ong:
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification. - Chang Keun Paik, Naeun Ko, Youngjoon Yoo:
More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation. - Xiaoxue Zhang, Zilong Cheng, Jun Ma, Sunan Huang, Frank L. Lewis, Tong Heng Lee:
Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles. - Anish Madan, Ranjitha Prasad:
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning. - Abhik Bhattacharjee, Tahmid Hasan, Kazi Samin, M. Sohel Rahman, Anindya Iqbal, Rifat Shahriyar:
BanglaBERT: Combating Embedding Barrier for Low-Resource Language Understanding. - Ginni Garg, Dheeraj Kumar, ArvinderPal, Yash Sonker, Ritu Garg:
A Hybrid MLP-SVM Model for Classification using Spatial-Spectral Features on Hyper-Spectral Images. - Ginni Garg, Mantosh Biswas:
Improved Neural Network based Plant Diseases Identification. - Ginni Garg, Ritu Garg:
Brain Tumor Detection and Classification based on Hybrid Ensemble Classifier. - Weidong Mei, Rui Zhang:
Multi-Beam Multi-Hop Routing for Intelligent Reflecting Surfaces Aided Massive MIMO. - Yingshi Chen:
An iterative K-FAC algorithm for Deep Learning. - Xin Ma, Zhicheng Zhang, Danfeng Wang, Yu Luo, Hui Yuan:
Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching. - Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers. - Yuting Zhan, Hamed Haddadi:
MoSen: Activity Modelling in Multiple-Occupancy Smart Homes. - Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. - Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria:
A Survey on Deep Reinforcement Learning for Audio-Based Applications. - Gwanghyun Jo, Do Young Kwak, Young Ju Lee:
Locally conservative immersed finite element method for elliptic interface problems. - Hiroshi Kera, Yoshihiko Hasegawa:
Monomial-agnostic computation of vanishing ideals. - Jinghe Wang, Wankai Tang, Yu Han, Shi Jin, Xiao Li, Chao-Kai Wen, Qiang Cheng, Tie Jun Cui:
Interplay between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems. - Oded Nov:
Interface Features and Users' Well-Being: Measuring the Sensitivity of Users' Well-Being to Resource Constraints and Feature Types. - Pengyuan Zhou, Benjamin Finley, Xuebing Li, Sasu Tarkoma, Jussi Kangasharju, Mostafa H. Ammar, Pan Hui:
5G MEC Computation Handoff for Mobile Augmented Reality. - Bin Li:
Efficient Learning-based Scheduling for Information Freshness in Wireless Networks. - Sajad Norouzi, Yanshuai Cao:
Semantic Parsing with Less Prior and More Monolingual Data. - Eleftherios Triantafyllidis, Zhibin Li:
The Challenges in Modeling Human Performance in 3D Space with Fitts' Law. - Batool Ibrahim, Hassan Noura:
Formation Flight Control of Multi-UAV System Using Neighbor-based Trajectory Generation Topology. - Xiaopeng Lu, Tiancheng Zhao, Kyusong Lee:
VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search. - Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. - Alessandro Tundo, Chiara Castelnovo, Marco Mobilio, Oliviero Riganelli, Leonardo Mariani:
Declarative Dashboard Generation. - Joar Skalse:
A General Counterexample to Any Decision Theory and Some Responses. - Valentina Anita Carriero, Aldo Gangemi, Andrea Giovanni Nuzzolese, Valentina Presutti:
An Ontology Design Pattern for representing Recurrent Situations. - Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Automated, General-purpose Counterfactual Generation. - Sainan Zhang, Tzu-Hao Huang, Chunhai Jiao, Mhairi MacLean, Junxi Zhu, Shuangyue Yu, Hao Su:
Design and Actuator Optimization of Lightweight and Compliant Knee Exoskeleton for Mobility Assistance of Children with Crouch Gait. - Sriram Siva, Maggie B. Wigness, John G. Rogers, Hao Zhang:
Robot Adaptation for Generating Consistent Navigational Behaviors over Unstructured Off-Road Terrain. - Hossein Pirayesh, Huacheng Zeng:
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey. - Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. - Ali Tourani, Sajjad Soroori, Asadollah Shahbahrami, Ali Reza Akoushideh:
Iranis: A Large-scale Dataset of Farsi License Plate Characters. - Peter Cihon, Taha Yasseri, Scott Hale, Helen Z. Margetts:
Tweeting for the Cause: Network analysis of UK petition sharing. - Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Understanding Few-Shot Commonsense Knowledge Models. - Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar:
When Is Generalizable Reinforcement Learning Tractable? - Fang Liu, Dong Wang, Zhengquan Xu:
Privacy-preserving Travel Time Prediction with Uncertainty Using GPS Trace Data. - Fang Liu, Xingyuan Zhao, Gaofei Zhang:
Disclosure Risk from Homogeneity Attack in Differentially Private Frequency Distribution. - Otmar Ertl:
SetSketch: Filling the Gap between MinHash and HyperLogLog. - Xiaofeng Liu, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Lingsheng Kong:
Energy-constrained Self-training for Unsupervised Domain Adaptation. - Xiaofeng Liu, Linghao Jin, Xu Han, Jun Lu, Jane You, Lingsheng Kong:
Identity-aware Facial Expression Recognition in Compressed Video. - Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. - Eric Hallman:
Faster Stochastic Trace Estimation with a Chebyshev Product Identity. - Joseph S. B. Mitchell:
Approximating Maximum Independent Set for Rectangles in the Plane. - Mitziu Echeverria, Zeeshan Ahmed, Bincheng Wang, M. Fareed Arif, Syed Rafiul Hussain, Omar Chowdhury:
PHOENIX: Device-Centric Cellular Network Protocol Monitoring using Runtime Verification. - Muhammad Saad, Zhan Qin, Kui Ren, DaeHun Nyang, David Mohaisen:
e-PoS: Making Proof-of-Stake Decentralized and Fair. - Md Sakib Hasan, Aysha S. Shanta, Partha Sarathi Paul, Maisha Sadia, Md. Badruddoja Majumder, Garrett S. Rose:
Design of an Enhanced Reconfigurable Chaotic Oscillator using G4FET-NDR Based Discrete Map. - Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. - Tobias Schlosser, Frederik Beuth, Danny Kowerko:
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation. - Hong Luo, Gianni Absillis, Robert R. Nourgaliev:
A Moving Discontinuous Galerkin Finite Element Method with Interface Conservation Enforcement for Compressible Flows. - Angus Baird, Stefano Giani:
An Artificial Intelligence System for Combined Fruit Detection and Georeferencing, Using RTK-Based Perspective Projection in Drone Imagery. - Hyesung Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah:
Mean-Field Game-Theoretic Edge Caching. - Yasumasa Onoe, Michael Boratko, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. - John Hawkins:
Minimum Viable Model Estimates for Machine Learning Projects. - Abhishek Das, Japsimar Singh Wahi, Mansi Anand, Yugant Rana:
Multi-Image Steganography Using Deep Neural Networks. - Geoff Boeing, Dani Arribas-Bel:
GIS and Computational Notebooks.