Check computer science papers: citations, claims and retractions

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention

Lüscher, C., Beck, E., Irie, K., Kitza, M., Michel, W., Zeyer, A., Schlüter, R., & Ney, H. (2019) · Interspeech 2019

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 241

Few-shot training LLMs for project-specific code-summarization

Ahmed, T., & Devanbu, P. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 241

A Survey on Deep Hashing Methods

Luo, X., Wang, H., Wu, D., Chen, C., Deng, M., Huang, J., & Hua, X.-S. (2023) · ACM Transactions on Knowledge Discovery from Data

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 241

Instruction Tuning for Large Language Models: A Survey

Zhang, S., Dong, L., Li, X., Zhang, S., Sun, X., Wang, S., Li, J., Hu, R., Zhang, T., Wu, F., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 241

IRobot: Teaching the Basics of Artificial Intelligence in High Schools

Burgsteiner, H., Kandlhofer, M., & Steinbauer, G. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 241

Analysing Mathematical Reasoning Abilities of Neural Models

Saxton, D., Grefenstette, E., Hill, F., & Kohli, P. (2019) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 241

Mining StackOverflow to turn the IDE into a self-confident programming prompter

Ponzanelli, L., Bavota, G., Di Penta, M., Oliveto, R., & Lanza, M. (2014) · Proceedings of the 11th Working Conference on Mining Software Repositories

Software Engineering ResearchInformation Retrieval and Search Behavior

Cited by 240

Emotion recognition in EEG signals using deep learning methods: A review

Jafari, M., Shoeibi, A., Khodatars, M., Bagherzadeh, S., Shalbaf, A., García, D. L., Gorriz, J. M., & Acharya, U. R. (2023) · Computers in Biology and Medicine

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 240

Retrieval-Augmented Generation for AI-Generated Content: A Survey

Zhao, P., Zhang, H., Yu, Q., Wang, Z., Geng, Y., Fu, F., Yang, L., Zhang, W., Jiang, J., & Cui, B. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 240

Lessons from archives: strategies for collecting sociocultural data in machine learning

Jo, E. S., & Gebru, T. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIData Analysis and Archiving

Cited by 240

Generative AI meets copyright

Samuelson, P. (2023) · Science

Law, AI, and Intellectual PropertyIntellectual Property Rights and Media

Cited by 240

Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication

Sattler, F., Wiedemann, S., Muller, K.-R., & Samek, W. (2019) · 2019 International Joint Conference on Neural Networks (IJCNN)

Stochastic Gradient Optimization TechniquesAdvanced Neural Network Applications

Cited by 240

Virtual reality in psychiatric disorders: A systematic review of reviews

Cieślik, B., Mazurek, J., Rutkowski, S., Kiper, P., Turolla, A., & Szczepańska-Gieracha, J. (2020) · Complementary Therapies in Medicine

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 240

A critique of cyclomatic complexity as a software metric

Shepperd, M. (1988) · Software Engineering Journal

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 240

PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid

Lyu, L., Nandakumar, K., Rubinstein, B., Jin, J., Bedo, J., & Palaniswami, M. (2018) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataSmart Grid Security and Resilience

Cited by 240

End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Gao, Y., Kim, M., Abuadbba, S., Kim, Y., Thapa, C., Kim, K., Camtep, S. A., Kim, H., & Nepal, S. (2020) · 2020 International Symposium on Reliable Distributed Systems (SRDS)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 240

Personalized News Recommendation: Methods and Challenges

Wu, C., Wu, F., Huang, Y., & Xie, X. (2023) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 240

Autonomous exploration: driven by uncertainty

Whaite, P., & Ferrie, F. P. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 240

Few-shot training LLMs for project-specific code-summarization

Ahmed, T., & Devanbu, P. (2022) · Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 240

Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals

Mirowski, P., Mathewson, K. W., Pittman, J., & Evans, R. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in GamesArtistic and Creative Research

Cited by 240

AI Safety Gridworlds

Leike, J., Martic, M., Krakovna, V., Ortega, P. A., Everitt, T., Lefrancq, A., Orseau, L., & Legg, S. (2017) · arXiv

Reinforcement Learning in RoboticsEthics and Social Impacts of AI

Cited by 240

End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos

Buch, S., Escorcia, V., Ghanem, B., & Niebles, J. C. (2017) · Procedings of the British Machine Vision Conference 2017

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 240

Baking Gender Into Social Media Design: How Platforms Shape Categories for Users and Advertisers

Bivens, R., & Haimson, O. L. (2016) · Social Media + Society

Ethics and Social Impacts of AIGender, Feminism, and Media

Cited by 240

A gentle introduction to conformal prediction and distribution-free uncertainty quantification

Angelopoulos, A. N., & Bates, S. (2021) · arXiv

Adversarial Robustness in Machine LearningMachine Learning and Algorithms

Cited by 240