Check computer science papers: citations, claims and retractions

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

Lane, N. D., Bhattacharya, S., Georgiev, P., Forlivesi, C., Jiao, L., Qendro, L., & Kawsar, F. (2016) · 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 450

CogView: Mastering Text-to-Image Generation via Transformers

Ding, M., Yang, Z., Hong, W., Zheng, W., Zhou, C., Yin, D., Lin, J., Zou, X., Shao, Z., Yang, H., et al. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 450

Ethics and discrimination in artificial intelligence-enabled recruitment practices

Chen, Z. (2023) · Humanities and Social Sciences Communications

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 450

Clinical applications of machine learning algorithms: beyond the black box

Watson, D. S., Krutzinna, J., Bruce, I. N., Griffiths, C. E., McInnes, I. B., Barnes, M. R., & Floridi, L. (2019) · BMJ

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 450

Recognising spontaneous facial micro-expressions

Pfister, T., Li, X., Zhao, G., & Pietikainen, M. (2011) · 2011 International Conference on Computer Vision

Emotion and Mood RecognitionFace recognition and analysis

Cited by 450

Robust Face Recognition via Multimodal Deep Face Representation

Ding, C., & Tao, D. (2015) · IEEE Transactions on Multimedia

Face recognition and analysisFace and Expression Recognition

Cited by 449

CLAP Learning Audio Concepts from Natural Language Supervision

Elizalde, B., Deshmukh, S., Ismail, M. A., & Wang, H. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 449

Stance and Sentiment in Tweets

Mohammad, S. M., Sobhani, P., & Kiritchenko, S. (2017) · ACM Transactions on Internet Technology

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 449

In-Context Retrieval-Augmented Language Models

Ram, O., Levine, Y., Dalmedigos, I., Muhlgay, D., Shashua, A., Leyton-Brown, K., & Shoham, Y. (2023) · Transactions of the Association for Computational Linguistics

Topic ModelingInformation Retrieval and Search Behavior

Cited by 449

Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Fabbri, A., Li, I., She, T., Li, S., & Radev, D. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 449

A state-space approach to adaptive RLS filtering

Sayed, A. H., & Kailath, T. (1994) · IEEE Signal Processing Magazine

Advanced Adaptive Filtering TechniquesControl Systems and Identification

Cited by 449

Intersectional HCI: Engaging Identity through Gender, Race, and Class

Schlesinger, A., Edwards, W. K., & Grinter, R. E. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 449

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Cheng, H. K., & Schwing, A. G. (2022) · arXiv

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 449

Explainable artificial intelligence model to predict acute critical illness from electronic health records

Lauritsen, S. M., Kristensen, M., Olsen, M. V., Larsen, M. S., Lauritsen, K. M., Jørgensen, M. J., Lange, J., & Thiesson, B. (2020) · Nature Communications

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 448

Analysis of vasculature for liver surgical planning

Selle, D., Preim, B., Schenk, A., & Peitgen, H.-O. (2002) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAnatomy and Medical Technology

Cited by 448

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Zi, B., Chang, M., Chen, J., Ma, X., & Jiang, Y.-G. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Digital Media Forensic DetectionFace recognition and analysis

Cited by 448

The effects of transparency on trust in and acceptance of a content-based art recommender

Cramer, H., Evers, V., Ramlal, S., van Someren, M., Rutledge, L., Stash, N., Aroyo, L., & Wielinga, B. (2008) · User Modeling and User-Adapted Interaction

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 448

Combining embedded accelerometers with computer vision for recognizing food preparation activities

Stein, S., & McKenna, S. J. (2013) · Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

Context-Aware Activity Recognition SystemsHand Gesture Recognition Systems

Cited by 448

The Natural Language Decathlon: Multitask Learning as Question Answering

McCann, B., Keskar, N. S., Xiong, C., & Socher, R. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 448

Accuracy measures for evaluating computer pointing devices

MacKenzie, I. S., Kauppinen, T., & Silfverberg, M. (2001) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 448

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Rao, Y., Zhao, W., Liu, B., Lu, J., Zhou, J., & Hsieh, C.-J. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 448

The Role of Constraints in Hebbian Learning

Miller, K. D., & MacKay, D. J. C. (1994) · Neural Computation

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 448

Code generation in the polyhedral model is easier than you think

Bastoul, C. (2004) · Proceedings. 13th International Conference on Parallel Architecture and Compilation Techniques, 2004. PACT 2004.

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 447

Wearable sensor data and self-reported symptoms for COVID-19 detection

Quer, G., Radin, J. M., Gadaleta, M., Baca-Motes, K., Ariniello, L., Ramos, E., Kheterpal, V., Topol, E. J., & Steinhubl, S. R. (2021) · Nature Medicine

COVID-19 Digital Contact TracingData-Driven Disease Surveillance

Cited by 447