Check computer science papers: citations, claims and retractions

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems

FitzGerald, J., Ananthakrishnan, S., Arkoudas, K., Bernardi, D., Bhagia, A., Delli Bovi, C., Cao, J., Chada, R., Chauhan, A., Chen, L., et al. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 68

Requirements for mobile photoware

Ames, M., Eckles, D., Naaman, M., Spasojevic, M., & Van House, N. (2010) · Personal and Ubiquitous Computing

Innovative Human-Technology InteractionPersonal Information Management and User Behavior

Cited by 68

Human Perception of Audio Deepfakes

Müller, N. M., Pizzi, K., & Williams, J. (2022) · Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia

Digital Media Forensic DetectionSpeech Recognition and Synthesis

Cited by 68

Scalable Randomized Benchmarking of Quantum Computers Using Mirror Circuits

Proctor, T., Seritan, S., Rudinger, K., Nielsen, E., Blume-Kohout, R., & Young, K. (2022) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 68

Automating Systematic Literature Reviews with Retrieval-Augmented Generation: A Comprehensive Overview

Han, B., Susnjak, T., & Mathrani, A. (2024) · Applied Sciences

Topic ModelingMeta-analysis and systematic reviews

Cited by 68

Understanding and Measuring User Experience in Conversational Interfaces

Kocaballi, A. B., Laranjo, L., & Coiera, E. (2019) · Interacting with Computers

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 68

ThinkRepair: Self-Directed Automated Program Repair

Yin, X., Ni, C., Wang, S., Li, Z., Zeng, L., & Yang, X. (2024) · Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 68

ZX-calculus for the working quantum computer scientist

van de Wetering, J. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 68

Biocurators and Biocuration: surveying the 21st century challenges

Burge, S., Attwood, T. K., Bateman, A., Berardini, T. Z., Cherry, M., O'Donovan, C., Xenarios, L., & Gaudet, P. (2012) · Database

Research Data Management PracticesBiomedical Text Mining and Ontologies

Cited by 68

Language Models are Realistic Tabular Data Generators

Borisov, V., Seßler, K., Leemann, T., Pawelczyk, M., & Kasneci, G. (2022) · arXiv

Topic ModelingGenerative Adversarial Networks and Image Synthesis

Cited by 68

Individual differences in the rubber-hand illusion: Predicting self-reports of people's personal experiences

Haans, A., Kaiser, F. G., Bouwhuis, D. G., & IJsselsteijn, W. A. (2012) · Acta Psychologica

Virtual Reality Applications and ImpactsTactile and Sensory Interactions

Cited by 68

A machine learning approach to improve congestion control over wireless computer networks

Geurts, P., El Khayat, I., & Leduc, G. (2004) · Fourth IEEE International Conference on Data Mining (ICDM'04)

Network Traffic and Congestion ControlWireless Networks and Protocols

Cited by 68

Application of Fitts' law to eye gaze interaction

Miniotas, D. (2000) · CHI '00 Extended Abstracts on Human Factors in Computing Systems

Gaze Tracking and Assistive TechnologyInteractive and Immersive Displays

Cited by 68

Mastering Atari Games with Limited Data

Ye, W., Liu, S., Kurutach, T., Abbeel, P., & Gao, Y. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 68

User customization of a word processor

Page, S. R., Johnsgard, T. J., Albert, U., & Allen, C. D. (1996) · Proceedings of the SIGCHI conference on Human factors in computing systems common ground - CHI '96

Usability and User Interface DesignSpreadsheets and End-User Computing

Cited by 68

Consumer behavior in augmented shopping reality. A review, synthesis, and research agenda

Hoffmann, S., & Mai, R. (2022) · Frontiers in Virtual Reality

Augmented Reality ApplicationsConsumer Retail Behavior Studies

Cited by 68

Dependency parsing of learner English

Huang, Y., Murakami, A., Alexopoulou, T., & Korhonen, A. (2018) · International Journal of Corpus Linguistics

Natural Language Processing TechniquesSecond Language Acquisition and Learning

Cited by 68

Trustworthy AI in the Age of Pervasive Computing and Big Data

Kumar, A., Braud, T., Tarkoma, S., & Hui, P. (2020) · 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 68

Is Bigger Better? Comparing User-Generated Passwords on 3x3 vs. 4x4 Grid Sizes for Android's Pattern Unlock

Aviv, A. J., Budzitowski, D., & Kuber, R. (2015) · Proceedings of the 31st Annual Computer Security Applications Conference

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 68

Reinforcement Learning of Theorem Proving

Kaliszyk, C., Urban, J., Michalewski, H., & Olšák, M. (2018) · arXiv

AI-based Problem Solving and PlanningLogic, programming, and type systems

Cited by 68

Balancing new against old information: the role of puzzlement surprise in learning

Faraji, M., Preuschoff, K., & Gerstner, W. (2018) · Neural Computation

Reinforcement Learning in RoboticsMemory and Neural Mechanisms

Cited by 68

A universal training algorithm for quantum deep learning

Verdon, G., Pye, J., & Broughton, M. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 68

VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering

Wang, Y., Yasunaga, M., Ren, H., Wada, S., & Leskovec, J. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Graph Neural Networks

Cited by 68

Network-Aware Optimization of Distributed Learning for Fog Computing

Tu, Y., Ruan, Y., Wagle, S., Brinton, C. G., & Joe-Wong, C. (2020) · IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 68