Check computer science papers: citations, claims and retractions

Transformers for Tabular Data Representation: A Survey of Models and Applications

Badaro, G., Saeed, M., & Papotti, P. (2023) · Transactions of the Association for Computational Linguistics

Topic ModelingAdvanced Graph Neural Networks

Cited by 96

Robust Adaptive Time Delay Estimation for Speaker Localization in Noisy and Reverberant Acoustic Environments

Doclo, S., & Moonen, M. (2003) · EURASIP Journal on Advances in Signal Processing

Speech and Audio ProcessingDirection-of-Arrival Estimation Techniques

Cited by 96

Can We Automate Scientific Reviewing?

Yuan, W., Liu, P., & Neubig, G. (2022) · Journal of Artificial Intelligence Research

Topic ModelingAcademic Writing and Publishing

Cited by 96

A Sample of One: First-Person Research Methods in HCI

Lucero, A., Desjardins, A., Neustaedter, C., Höök, K., Hassenzahl, M., & Cecchinato, M. E. (2019) · Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion

Innovative Human-Technology InteractionQualitative Research Methods and Ethics

Cited by 96

Bluetooth low energy: Wireless connectivity for medical monitoring

Omre, A. H., & Keeping, S. (2010) · Journal of Diabetes Science and Technology

Bluetooth and Wireless Communication TechnologiesWireless Body Area Networks

Cited by 96

Talk Isn't Always Cheap: Understanding Failure Modes in Multi-Agent Debate

Wynn, A., Satija, H., & Hadfield, G. (2025) · arXiv

Multi-Agent Systems and NegotiationLogic, Reasoning, and Knowledge

Cited by 96

Simultaneously Detecting and Counting Dense Vehicles From Drone Images

Li, W., Li, H., Wu, Q., Chen, X., & Ngan, K. N. (2019) · IEEE Transactions on Industrial Electronics

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 96

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

Kim, B., Kim, H., & Kim, G. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 96

On the Robustness of Self-Attentive Models

Hsieh, Y.-L., Cheng, M., Juan, D.-C., Wei, W., Hsu, W.-L., & Hsieh, C.-J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 96

Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion

Tian, J., Aggarwal, L., Colaco, A., Kira, Z., & Gonzalez-Franco, M. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 96

Person counting using stereo

Beymer, D. (2002) · Proceedings Workshop on Human Motion

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 96

MatRiCT: Efficient, Scalable and Post-Quantum Blockchain Confidential Transactions Protocol

Esgin, M. F., Zhao, R. K., Steinfeld, R., Liu, J. K., & Liu, D. (2019) · Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 96

From data to optimal decision making: a data-driven, probabilistic machine learning approach to decision support for patients with sepsis

Tsoukalas, A., Albertson, T., & Tagkopoulos, I. (2015) · JMIR Medical Informatics

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 96

A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications

Qiu, J., Du, Q., Yin, K., Zhang, S.-L., & Qian, C. (2020) · Applied Sciences

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 96

Simple Mitigation of Global Depolarizing Errors in Quantum Simulations

Vovrosh, J., Khosla, K. E., Greenaway, S., Self, C., Kim, M., & Knolle, J. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 96

AudioCaps: Generating Captions for Audios in The Wild

Kim, C. D., Kim, B., Lee, H., & Kim, G. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Speech Recognition and SynthesisMultimodal Machine Learning Applications

Cited by 96

Lightweight Authentication Protocol for M2M Communications of Resource-Constrained Devices in Industrial Internet of Things

Lara, E., Aguilar, L., Sanchez, M. A., & García, J. A. (2020) · Sensors

Advanced Authentication Protocols SecurityIoT and Edge/Fog Computing

Cited by 96

Hyena Hierarchy: Towards Larger Convolutional Language Models

Poli, M., Massaroli, S., Nguyen, E., Fu, D. Y., Dao, T., Baccus, S., Bengio, Y., Ermon, S., & Ré, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 96

Semantic Audio-Visual Navigation

Chen, C., Al-Halah, Z., & Grauman, K. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 96

A Robust Approach to Multimodal Deepfake Detection

Salvi, D., Liu, H., Mandelli, S., Bestagini, P., Zhou, W., Zhang, W., & Tubaro, S. (2023) · Journal of Imaging

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 96

Evaluating Very Long-Term Conversational Memory of LLM Agents

Maharana, A., Lee, D.-H., Tulyakov, S., Bansal, M., Barbieri, F., & Fang, Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 96

CLOSURE: Assessing Systematic Generalization of CLEVR Models

Bahdanau, D., de Vries, H., O'Donnell, T. J., Murty, S., Beaudoin, P., Bengio, Y., & Courville, A. (2019) · arXiv

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 96

Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Naous, T., Ryan, M. J., Ritter, A., & Xu, W. (2023) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 96

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization

Ding, X., Ding, G., Guo, Y., Han, J., & Yan, C. (2019) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 96