Check computer science papers: citations, claims and retractions

Tutorial on Variational Autoencoders

Doersch, C. (2016) · arXiv

Gaussian Processes and Bayesian InferenceGenerative Adversarial Networks and Image Synthesis

Cited by 1,470

Large-scale cluster management at Google with Borg

Verma, A., Pedrosa, L., Korupolu, M., Oppenheimer, D., Tune, E., & Wilkes, J. (2015) · Proceedings of the Tenth European Conference on Computer Systems

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 1,468

SmoothGrad: removing noise by adding noise

Smilkov, D., Thorat, N., Kim, B., Viégas, F., & Wattenberg, M. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,467

Instructpix2pix: Learning to follow image editing instructions

Brooks, T., Holynski, A., & Efros, A. A. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1,466

Drug-target residence time and its implications for lead optimization

Copeland, R. A., Pompliano, D. L., & Meek, T. D. (2006) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsReceptor Mechanisms and Signaling

Cited by 1,464

How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)

Bulat, A., & Tzimiropoulos, G. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Face recognition and analysisFace Recognition and Perception

Cited by 1,464

Bias between MNI and Talairach coordinates analyzed using the ICBM‐152 brain template

Lancaster, J. L., Tordesillas‐Gutiérrez, D., Martinez, M., Salinas, F., Evans, A., Zilles, K., Mazziotta, J. C., & Fox, P. T. (2007) · Human Brain Mapping

Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies

Cited by 1,464

A modified Hausdorff distance for object matching

Dubuisson, M.-P., & Jain, A. K. (2002) · Proceedings of 12th International Conference on Pattern Recognition

Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 1,464

Going Deeper with Convolutions

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2014) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,461

Panoptic Feature Pyramid Networks

Kirillov, A., Girshick, R., He, K., & Dollár, P. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,460

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Tancik, M., Srinivasan, P. P., Mildenhall, B., Fridovich-Keil, S., Raghavan, N., Singhal, U., Ramamoorthi, R., Barron, J. T., & Ng, R. (2020) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 1,459

Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity

Joinson, A. N. (2001) · European Journal of Social Psychology

Digital Communication and LanguagePrivacy, Security, and Data Protection

Cited by 1,458

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

Kather, J. N., Pearson, A. T., Halama, N., Jäger, D., Krause, J., Loosen, S. H., Marx, A., Boor, P., Tacke, F., Neumann, U. P., et al. (2019) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 1,458

Physical Symbol Systems

Newell, A. (1980) · Cognitive Science

Cognitive Computing and NetworksPhilosophy and Theoretical Science

Cited by 1,458

Introducing a New Benchmarked Dataset for Activity Monitoring

Reiss, A., & Stricker, D. (2012) · 2012 16th International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 1,456

Generative Modeling by Estimating Gradients of the Data Distribution

Song, Y., & Ermon, S. (2019) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 1,453

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q.-L., & Tang, Y. (2023) · IEEE/CAA Journal of Automatica Sinica

Topic ModelingSpeech and dialogue systems

Cited by 1,452

The iNaturalist Species Classification and Detection Dataset

Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P., & Belongie, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,451

Forward models: supervised learning with a distal teacher

Jordan, M. I., & Rumelhart, D. E. (1992) · Cognitive Science

Reinforcement Learning in RoboticsNeural Networks and Applications

Cited by 1,451

An analysis of the attrition of drug candidates from four major pharmaceutical companies

Waring, M. J., Arrowsmith, J., Leach, A. R., Leeson, P. D., Mandrell, S., Owen, R. M., Pairaudeau, G., Pennie, W. D., Pickett, S. D., Wang, J., et al. (2015) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsPharmaceutical studies and practices

Cited by 1,450

Sentiment strength detection in short informal text

Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010) · Journal of the American Society for Information Science and Technology

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 1,449

Defects4J: a database of existing faults to enable controlled testing studies for Java programs

Just, R., Jalali, D., & Ernst, M. D. (2014) · Proceedings of the 2014 International Symposium on Software Testing and Analysis

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 1,447

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Plummer, B. A., Wang, L., Cervantes, C. M., Caicedo, J. C., Hockenmaier, J., & Lazebnik, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 1,444

Scaling Instruction-Finetuned Language Models

Chung, H. W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,441