Check computer science papers: citations, claims and retractions

Open-Ended Learning Leads to Generally Capable Agents

Open Ended Learning Team, Stooke, A., Mahajan, A., Barros, C., Deck, C., Bauer, J., Sygnowski, J., Trebacz, M., Jaderberg, M., Mathieu, M., et al. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 56

Wasserstein Introspective Neural Networks

Lee, K., Xu, W., Fan, F., & Tu, Z. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 56

Graphics and statistics for cardiology: designing effective tables for presentation and publication

Boers, M. (2018) · Heart

Data Visualization and AnalyticsAcademic Writing and Publishing

Cited by 56

Small-GAN: Speeding Up GAN Training Using Core-sets

Sinha, S., Zhang, H., Goyal, A., Bengio, Y., Larochelle, H., & Odena, A. (2019) · arXiv

Generative Adversarial Networks and Image SynthesisStochastic Gradient Optimization Techniques

Cited by 56

Perceptual Hashing With Visual Content Understanding for Reduced-Reference Screen Content Image Quality Assessment

Huang, Z., & Liu, S. (2021) · IEEE Transactions on Circuits and Systems for Video Technology

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 56

XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model

Farrukh, Y. A., Wali, S., Khan, I., & Bastian, N. D. (2024) · arXiv

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 56

Performance of Deep Learning Model in Detecting Operable Lung Cancer With Chest Radiographs

Cha, M. J., Chung, M. J., Lee, J. H., & Lee, K. S. (2019) · Journal of Thoracic Imaging

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 56

DynaSent: A Dynamic Benchmark for Sentiment Analysis

Potts, C., Wu, Z., Geiger, A., & Kiela, D. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 56

MEGA-RAG: a retrieval-augmented generation framework with multi-evidence guided answer refinement for mitigating hallucinations of LLMs in public health

Xu, S., Yan, Z., Dai, C., & Wu, F. (2025) · Frontiers in Public Health

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 56

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation

Ku, M., Jiang, D., Wei, C., Yue, X., & Chen, W. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 56

Efficient Encoding of the Weighted MAX $$k$$-CUT on a Quantum Computer Using QAOA

Fuchs, F. G., Kolden, H. Ø., Aase, N. H., & Sartor, G. (2021) · SN Computer Science

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 56

Image standards in tissue-based diagnosis (diagnostic surgical pathology)

Kayser, K., Görtler, J., Goldmann, T., Vollmer, E., Hufnagl, P., & Kayser, G. (2008) · Diagnostic Pathology

AI in cancer detectionDigital Imaging in Medicine

Cited by 56

WebEAV: automatic metadata-driven generation of web interfaces to entity-attribute-value databases

Nadkarni, P. M., Brandt, C. M., & Marenco, L. (2000) · Journal of the American Medical Informatics Association

Web Applications and Data ManagementElectronic Health Records Systems

Cited by 56

HEAR: Holistic Evaluation of Audio Representations

Turian, J., Shier, J., Khan, H. R., Raj, B., Schuller, B. W., Steinmetz, C. J., Malloy, C., Tzanetakis, G., Velarde, G., McNally, K., et al. (2022) · arXiv

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 56

ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows

Urain, J., Ginesi, M., Tateo, D., & Peters, J. (2020) · 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reinforcement Learning in RoboticsGaussian Processes and Bayesian Inference

Cited by 56

Bias against 93 stigmatized groups in masked language models and downstream sentiment classification tasks

Mei, K., Fereidooni, S., & Caliskan, A. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 56

Evaluating the Text-to-SQL Capabilities of Large Language Models

Rajkumar, N., Li, R., & Bahdanau, D. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 56

Classical Spin Models and the Quantum-Stabilizer Formalism

den Nest, M. V., Dür, W., & Briegel, H. J. (2007) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 56

The public perceptions of algorithmic decision-making systems: Results from a large-scale survey

Aysolmaz, B., Müller, R., & Meacham, D. (2023) · Telematics and Informatics

Ethics and Social Impacts of AITechnology Adoption and User Behaviour

Cited by 56

Cells, Generators, and Lenses: Design Framework for Object-Oriented Interaction with Large Language Models

Kim, T. S., Lee, Y., Chang, M., & Kim, J. (2023) · Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 56

Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection

Yin, L., Perez-Rua, J. M., & Liang, K. J. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 56

Dolma: an open corpus of three trillion tokens for language model pretraining research

Soldaini, L., Kinney, R., Bhagia, A., Schwenk, D., Atkinson, D., Authur, R., Bogin, B., Chandu, K., Dumas, J., Elazar, Y., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 56

Security and Privacy Issues in Deep Learning

Bae, H., Jang, J., Jung, D., Jang, H., Ha, H., Lee, H., & Yoon, S. (2018) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 56

Effective e‐learning recommendation system based on self‐organizing maps and association mining

Wen‐Shung Tai, D., Wu, H., & Li, P. (2008) · The Electronic Library

Recommender Systems and TechniquesOnline Learning and Analytics

Cited by 56