Check computer science papers: citations, claims and retractions

User Perspectives on Ethical Challenges in Human-AI Co-Creativity: A Design Fiction Study

Rezwana, J., & Maher, M. L. (2023) · Creativity and Cognition

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 60

Testing and quality validation for AI software–perspectives, issues, and practices

Tao, C., Gao, J., & Wang, T. (2019) · IEEE Access

Software Testing and Debugging TechniquesAdversarial Robustness in Machine Learning

Cited by 60

Building an Evaluation Scale using Item Response Theory

Lalor, J., Wu, H., & yu, H. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesPsychometric Methodologies and Testing

Cited by 60

Practical and Robust Federated Learning With Highly Scalable Regression Training

Han, S., Ding, H., Zhao, S., Ren, S., Wang, Z., Lin, J., & Zhou, S. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 60

Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation

Tian, R., Narayan, S., Sellam, T., & Parikh, A. P. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 60

Joint Activity Detection and Channel Estimation for IoT Networks: Phase Transition and Computation-Estimation Tradeoff

Jiang, T., Shi, Y., Zhang, J., & Letaief, K. B. (2019) · IEEE Internet of Things Journal

Sparse and Compressive Sensing TechniquesIoT Networks and Protocols

Cited by 60

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Dennis, M., Jaques, N., Vinitsky, E., Bayen, A., Russell, S., Critch, A., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 60

Effects of pre-tests and feedback on performance outcomes and persistence in Massive Open Online Courses

Janelli, M., & Lipnevich, A. A. (2021) · Computers & Education

Online Learning and AnalyticsStudent Assessment and Feedback

Cited by 60

Language Models are Multilingual Chain-of-Thought Reasoners

Shi, F., Suzgun, M., Freitag, M., Wang, X., Srivats, S., Vosoughi, S., Chung, H. W., Tay, Y., Ruder, S., Zhou, D., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 60

VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding

Fan, Y., Ma, X., Wu, R., Du, Y., Li, J., Gao, Z., & Li, Q. (2024) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 60

Markov Random Field Structures for Facial Action Unit Intensity Estimation

Sandbach, G., Zafeiriou, S., & Pantic, M. (2013) · 2013 IEEE International Conference on Computer Vision Workshops

Face recognition and analysisEmotion and Mood Recognition

Cited by 60

Gate fidelity fluctuations and quantum process invariants

Magesan, E., Blume-Kohout, R., & Emerson, J. (2011) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 60

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework

Chang, K., Wang, K., Yang, N., Wang, Y., Jin, D., Zhu, W., Chen, Z., Li, C., Yan, H., Zhou, Y., et al. (2024) · Proceedings of the 61st ACM/IEEE Design Automation Conference

Embedded Systems Design TechniquesSoftware Engineering Research

Cited by 60

An Ambient Assisted Living Approach in Designing Domiciliary Services Combined With Innovative Technologies for Patients With Alzheimer’s Disease: A Case Study

Cavallo, F., Aquilano, M., & Arvati, M. (2015) · American Journal of Alzheimer's Disease & Other Dementias®

Context-Aware Activity Recognition SystemsTechnology Use by Older Adults

Cited by 60

Linear Transformers Are Secretly Fast Weight Programmers

Schlag, I., Irie, K., & Schmidhuber, J. (2021) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 60

On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts

Stowell, D., Benetos, E., & Gill, L. F. (2017) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 60

Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation

Kim, Y.-S., Reinecke, K., & Hullman, J. (2018) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsInnovative Human-Technology Interaction

Cited by 60

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers

Liu, Y., Yang, H., Dong, Z., Keutzer, K., Du, L., & Zhang, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 60

EMA at SemEval-2018 Task 1: Emotion Mining for Arabic

Badaro, G., El Jundi, O., Khaddaj, A., Maarouf, A., Kain, R., Hajj, H., & El-Hajj, W. (2018) · Proceedings of The 12th International Workshop on Semantic Evaluation

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 60

LEGO-Net: Learning Regular Rearrangements of Objects in Rooms

Wei, Q. A., Ding, S., Park, J. J., Sajnani, R., Poulenard, A., Sridhar, S., & Guibas, L. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisRobot Manipulation and Learning

Cited by 60

A High-Precision Vehicle Detection and Tracking Method Based on the Attention Mechanism

Wang, J., Dong, Y., Zhao, S., & Zhang, Z. (2023) · Sensors

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 60

DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models

Liu, Y., Palmieri, L., Koch, S., Georgievski, I., & Aiello, M. (2024) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 60

Is ChatGPT a Good Recommender? A Preliminary Study

Liu, J., Liu, C., Zhou, P., Lv, R., Zhou, K., & Zhang, Y. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 60

clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

Shit, S., Paetzold, J. C., Sekuboyina, A., Ezhov, I., Unger, A., Zhylka, A., Pluim, J. P. W., Bauer, U., & Menze, B. H. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 60