Check computer science papers: citations, claims and retractions

Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think!

Hessel, J., & Lee, L. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Multimodal Machine Learning ApplicationsMultisensory perception and integration

Cited by 57

Federated Learning for Data Analytics in Education

Fachola, C., Tornaría, A., Bermolen, P., Capdehourat, G., Etcheverry, L., & Fariello, M. I. (2023) · Data

Privacy-Preserving Technologies in DataOnline Learning and Analytics

Cited by 57

Anthropomorphization of AI: Opportunities and Risks

Deshpande, A., Rajpurohit, T., Narasimhan, K., & Kalyan, A. (2023) · Proceedings of the Natural Legal Language Processing Workshop 2023

Ethics and Social Impacts of AISocial Robot Interaction and HRI

Cited by 57

Quantum Approximate Optimization With Parallelizable Gates

Lechner, W. (2020) · IEEE Transactions on Quantum Engineering

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 57

3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers

Shin, D., Ren, Z., Sudderth, E., & Fowlkes, C. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 57

Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Prasad, A., Lin, K., Wu, J., Zhou, L., & Bohg, J. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 57

Variational learning of Grover's quantum search algorithm

Morales, M. E. S., Tlyachev, T., & Biamonte, J. (2018) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 57

The Influence of Personality Traits and Cognitive Load on the Use of Adaptive User Interfaces

Gajos, K. Z., & Chauncey, K. (2017) · Proceedings of the 22nd International Conference on Intelligent User Interfaces

Usability and User Interface DesignIntelligent Tutoring Systems and Adaptive Learning

Cited by 57

Homomorphic Encryption Based Privacy-Preservation for IoMT

Salim, M. M., Kim, I., Doniyor, U., Lee, C., & Park, J. H. (2021) · Applied Sciences

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 57

Steering Llama 2 via Contrastive Activation Addition

Rimsky, N., Gabrieli, N., Schulz, J., Tong, M., Hubinger, E., & Turner, A. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 57

Applying active learning to assertion classification of concepts in clinical text

Chen, Y., Mani, S., & Xu, H. (2012) · Journal of Biomedical Informatics

Machine Learning and AlgorithmsBiomedical Text Mining and Ontologies

Cited by 57

Microscopic malaria parasitemia diagnosis and grading on benchmark datasets

Rehman, A., Abbas, N., Saba, T., Mehmood, Z., Mahmood, T., & Ahmed, K. T. (2018) · Microscopy Research and Technique

Digital Imaging for Blood DiseasesCell Image Analysis Techniques

Cited by 57

Identifying and Mitigating the Security Risks of Generative AI

Barrett, C., Boyd, B., Bursztein, E., Carlini, N., Chen, B., Choi, J., Chowdhury, A. R., Christodorescu, M., Datta, A., Feizi, S., et al. (2023) · Foundations and Trends® in Privacy and Security

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 57

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks

Chen, J., Zhang, R., Guo, J., Liu, Y., Fan, Y., & Cheng, X. (2022) · Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Information Retrieval and Search BehaviorTopic Modeling

Cited by 57

Language Models for Code Completion: A Practical Evaluation

Izadi, M., Katzy, J., van Dam, T., Otten, M., Popescu, R. M., & van Deursen, A. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 57

From ChatGPT to CatGPT: The Implications of Artificial Intelligence on Library Cataloging

Brzustowicz, R. (2023) · Information Technology and Libraries

Library Science and Information SystemsLibrary Science and Information

Cited by 57

Deep Learning Crater Detection for Lunar Terrain Relative Navigation

Downes, L., Steiner, T. J., & How, J. P. (2020) · AIAA Scitech 2020 Forum

Advanced Neural Network ApplicationsRobotics and Sensor-Based Localization

Cited by 57

Investigating Gender and Racial Biases in DALL-E Mini Images

Cheong, M., Abedin, E., Ferreira, M., Reimann, R., Chalson, S., Robinson, P., Byrne, J., Ruppanner, L., Alfano, M., & Klein, C. (2024) · ACM Journal on Responsible Computing

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 57

Multimodal interfaces: Challenges and perspectives

Sebe, N. (2009) · Journal of Ambient Intelligence and Smart Environments

Interactive and Immersive DisplaysSpeech and dialogue systems

Cited by 57

Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments

Czarnul, P., Proficz, J., & Krzywaniak, A. (2019) · Scientific Programming

Parallel Computing and Optimization TechniquesEnergy Efficiency in Computing

Cited by 57

Program Logic Based Software Plagiarism Detection

Zhang, F., Wu, D., Liu, P., & Zhu, S. (2014) · 2014 IEEE 25th International Symposium on Software Reliability Engineering

Software Engineering ResearchAcademic integrity and plagiarism

Cited by 57

Deep-Learning Approaches to Identify Critically Ill Patients at Emergency Department Triage Using Limited Information

Joseph, J. W., Leventhal, E. L., Grossestreuer, A. V., Wong, M. L., Joseph, L. J., Nathanson, L. A., Donnino, M. W., Elhadad, N., & Sanchez, L. D. (2020) · Journal of the American College of Emergency Physicians Open

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 57

OpenSoundscape: An open‐source bioacoustics analysis package for Python

Lapp, S., Rhinehart, T., Freeland‐Haynes, L., Khilnani, J., Syunkova, A., & Kitzes, J. (2023) · Methods in Ecology and Evolution

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 57

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series

Wu, Y., Ni, J., Cheng, W., Zong, B., Song, D., Chen, Z., Liu, Y., Zhang, X., Chen, H., & Davidson, S. B. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingTraffic Prediction and Management Techniques

Cited by 57