Check computer science papers: citations, claims and retractions

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Zintgraf, L., Shiarlis, K., Igl, M., Schulze, S., Gal, Y., Hofmann, K., & Whiteson, S. (2019) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 112

XAI Systems Evaluation: A Review of Human and Computer-Centred Methods

Lopes, P., Silva, E., Braga, C., Oliveira, T., & Rosado, L. (2022) · Applied Sciences

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 112

Issues Encountered Deploying Differential Privacy

Garfinkel, S. L., Abowd, J. M., & Powazek, S. (2018) · Proceedings of the 2018 Workshop on Privacy in the Electronic Society

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 112

Revealing skype traffic: when randomness plays with you

Bonfiglio, D., Mellia, M., Meo, M., Rossi, D., & Tofanelli, P. (2007) · ACM SIGCOMM Computer Communication Review

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 112

Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification

Chen, Z., Chen, S., Wu, Y., Qian, Y., Wang, C., Liu, S., Qian, Y., & Zeng, M. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 112

How do professionals perceive legacy systems and software modernization?

Khadka, R., Batlajery, B. V., Saeidi, A. M., Jansen, S., & Hage, J. (2014) · Proceedings of the 36th International Conference on Software Engineering

Software Engineering ResearchTransportation Systems and Infrastructure

Cited by 111

Freedom and Privacy in Ambient Intelligence

Brey, P. (2005) · Ethics and Information Technology

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 111

3D Reconstruction of Complex Spatial Weld Seam for Autonomous Welding by Laser Structured Light Scanning

Zhang, K., Yan, M., Huang, T., Zheng, J., & Li, Z. (2019) · Journal of Manufacturing Processes

Optical measurement and interference techniquesWelding Techniques and Residual Stresses

Cited by 111

Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models

Li, Y., Shao, H.-C., Liang, X., Chen, L., Li, R., Jiang, S., Wang, J., & Zhang, Y. (2024) · IEEE Transactions on Medical Imaging

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 111

A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors

Khodak, M., Saunshi, N., Liang, Y., Ma, T., Stewart, B., & Arora, S. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 111

Thieves on Sesame Street! Model Extraction of BERT-based APIs

Krishna, K., Tomar, G. S., Parikh, A. P., Papernot, N., & Iyyer, M. (2019) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 111

Amazon Echo and the Aesthetics of Whiteness

Phan, T. (2019) · Catalyst Feminism Theory Technoscience

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 111

Koka: Programming with Row Polymorphic Effect Types

Leijen, D. (2014) · Electronic Proceedings in Theoretical Computer Science

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 111

Race and Gender

Gebru, T. (2020) · The Oxford Handbook of Ethics of AI

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 111

Robust and accurate skeletal rigging from mesh sequences

Le, B. H., & Deng, Z. (2014) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 111

Analysis of discrete implementation of generalized cross correlator

Boucher, R., & Hassab, J. (1981) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Speech and Audio ProcessingDigital Filter Design and Implementation

Cited by 111

Generalization in Reinforcement Learning by Soft Data Augmentation

Hansen, N., & Wang, X. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 111

"Why would anybody do this?": Understanding Older Adults' Motivations and Challenges in Crowd Work

Brewer, R., Morris, M. R., & Piper, A. M. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingTechnology Use by Older Adults

Cited by 111

Heterogeneous Submission Behavior and its Implications for Success in Innovation Contests with Public Submissions

Bockstedt, J., Druehl, C., & Mishra, A. (2016) · Production and Operations Management

Open Source Software InnovationsBiomedical and Engineering Education

Cited by 111

Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

Echle, A., Ghaffari Laleh, N., Quirke, P., Grabsch, H. I., Muti, H. S., Saldanha, O. L., Brockmoeller, S. F., van den Brandt, P. A., Hutchins, G. G. A., Richman, S. D., et al. (2022) · ESMO Open

AI in cancer detectionGenetic factors in colorectal cancer

Cited by 111

Parallel Context Windows for Large Language Models

Ratner, N., Levine, Y., Belinkov, Y., Ram, O., Magar, I., Abend, O., Karpas, E., Shashua, A., Leyton-Brown, K., & Shoham, Y. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 111

DistBlockBuilding: A Distributed Blockchain-Based SDN-IoT Network for Smart Building Management

Rahman, A., Nasir, M. K., Rahman, Z., Mosavi, A., S, S., & Minaei-Bidgoli, B. (2020) · IEEE Access

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 111

Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators

Liesenfeld, A., Lopez, A., & Dingemanse, M. (2023) · Proceedings of the 5th International Conference on Conversational User Interfaces

Ethics and Social Impacts of AITopic Modeling

Cited by 111

Sentiment evolution with interaction levels in blended learning environments: Using learning analytics and epistemic network analysis

Huang, C., Han, Z., Li, M., Wang, X., & Zhao, W. (2021) · Australasian Journal of Educational Technology

Online Learning and AnalyticsOnline and Blended Learning

Cited by 111