Check computer science papers: citations, claims and retractions

Patch Slimming for Efficient Vision Transformers

Tang, Y., Han, K., Wang, Y., Xu, C., Guo, J., Xu, C., & Tao, D. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 201

Dense Convolutional Network and Its Application in Medical Image Analysis

Zhou, T., Ye, X., Lu, H., Zheng, X., Qiu, S., & Liu, Y. (2022) · BioMed Research International

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 201

Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning

Cheraghian, A., Rahman, S., Fang, P., Roy, S. K., Petersson, L., & Harandi, M. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 201

Resource-efficient quantum algorithm for protein folding

Robert, A., Barkoutsos, P. K., Woerner, S., & Tavernelli, I. (2021) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureProtein Structure and Dynamics

Cited by 201

Faithful Chain-of-Thought Reasoning

Lyu, Q., Havaldar, S., Stein, A., Zhang, L., Rao, D., Wong, E., Apidianaki, M., & Callison-Burch, C. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 201

Thousands of AI Authors on the Future of AI

Grace, K., Sandkühler, J. F., Stewart, H., Weinstein-Raun, B., Thomas, S., Stein-Perlman, Z., Salvatier, J., Brauner, J., & Korzekwa, R. C. (2025) · Journal of Artificial Intelligence Research

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 201

Adding Conditional Control to Text-to-Image Diffusion Models

Zhang, L., Rao, A., & Agrawala, M. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 201

The effects of substitute multisensory feedback on task performance and the sense of presence in a virtual reality environment

Cooper, N., Milella, F., Pinto, C., Cant, I., White, M., & Meyer, G. (2018) · PLOS ONE

Virtual Reality Applications and ImpactsTeleoperation and Haptic Systems

Cited by 201

Bias-preserving gates with stabilized cat qubits

Puri, S., St-Jean, L., Gross, J. A., Grimm, A., Frattini, N. E., Iyer, P. S., Krishna, A., Touzard, S., Jiang, L., Blais, A., et al. (2020) · Science Advances

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 201

Visual to Sound: Generating Natural Sound for Videos in the Wild

Zhou, Y., Wang, Z., Fang, C., Bui, T., & Berg, T. L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Music and Audio ProcessingSpeech and Audio Processing

Cited by 201

Multimodal Generative Models for Scalable Weakly-Supervised Learning

Wu, M., & Goodman, N. (2018) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 200

Big data hurdles in precision medicine and precision public health

Prosperi, M., Min, J. S., Bian, J., & Modave, F. (2018) · BMC Medical Informatics and Decision Making

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 200

BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems

Shao, J., & Zhang, J. (2020) · 2020 IEEE International Conference on Communications Workshops (ICC Workshops)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 200

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Shao, Z., Gong, Y., Shen, Y., Huang, M., Duan, N., & Chen, W. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingInformation Retrieval and Search Behavior

Cited by 200

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Casanova, E., Weber, J., Shulby, C., Junior, A. C., Gölge, E., & Ponti, M. A. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 200

Attention Mask R-CNN for ship detection and segmentation from remote sensing images

Nie, X., Duan, M., Ding, H., Hu, B., & Wong, E. K. (2020) · IEEE Access

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 200

Are Emergent Abilities of Large Language Models a Mirage?

Schaeffer, R., Miranda, B., & Koyejo, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 200

A general framework for adversarial examples with objectives

Sharif, M., Bhagavatula, S., Bauer, L., & Reiter, M. K. (2019) · ACM Transactions on Privacy and Security

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 200

Productivity Assessment of Neural Code Completion

Ziegler, A., Kalliamvakou, E., Simister, S., Sittampalam, G., Li, A., Rice, A., Rifkin, D., & Aftandilian, E. (2022) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 200

Reverse Engineering Mobile Application User Interfaces with REMAUI (T)

Nguyen, T. A., & Csallner, C. (2015) · 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Engineering ResearchMobile and Web Applications

Cited by 200

Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction

Vineet, V., Miksik, O., Lidegaard, M., Niebner, M., Golodetz, S., Prisacariu, V. A., Kahler, O., Murray, D. W., Izadi, S., Peerez, P., et al. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 200

Productivity Assessment of Neural Code Completion

Ziegler, A., Kalliamvakou, E., Li, X. A., Rice, A., Rifkin, D., Simister, S., Sittampalam, G., & Aftandilian, E. (2022) · Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 200

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

Yuan, Z., Yuan, F., Song, Y., Li, Y., Fu, J., Yang, F., Pan, Y., & Ni, Y. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 200

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Shao, Z., Gong, Y., Shen, Y., Huang, M., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 200