“ImageNet classification with deep convolutional neural networks” (2012) has been cited 194,363 times according to Google Scholar. CitationMap has resolved 1,061 citing papers from institutions across 62 countries.
Authors: Alex Krizhevsky (University of Toronto), Ilya Sutskever (University of Toronto), Geoffrey E. Hinton (University of Toronto)
· Vikas Hassija, Amir Hussain, Simone Scardapane, Kaizhu Huang +151 more
· Muhammad Hussain
· Aston Zhang, Arun Rao, Alan Schelten, Bhargav Kanagal +50 more
VMamba: Visual State Space Model
Advances in Neural Information Processing Systems 37 (NeurIPS 2024) · 2024 · Jianbin Jiao, Yunfan Liu, Yue Liu, Yunfan Liu +22 more
· Bencheng Liao, Qian Zhang, Xinggang Wang, Xinlong Wang +8 more
· Albert Gu, Tri Dao
· Lewei Lu, Wenhai Wang, Muyan Zhong, Ping Luo +19 more
· Yue Bai, Yizhou Wang, Xiyang Dai, Xu Ma +2 more
· Radu Marculescu, Md Mostafijur Rahman, Mustafa Munir
· Daliang Ouyang, Su He, Guozhong Zhang, Mingzhu Luo +3 more
· William Peebles, Saining Xie, William Peebles, Saining Xie +104 more
Cross-entropy loss functions: Theoretical analysis and applications
40th International Conference on Machine Learning (ICML 2023) · 2023 · Mehryar Mohri, Anqi Mao, Mehryar Mohri, Yutao Zhong +3 more
Vision-language models for vision tasks: A survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) · 2024 · Shijian Lu, Jiaxing Huang, Jingyi Zhang, Sheng Jin +73 more
A Survey on Multimodal Large Language Models for Autonomous Driving
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · 2024 · Shuqi Mei, Zhipeng Cao, Xinrui Yan, Yang Zhou +33 more
· Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
Computers · 2023 · Mohammad Mustafa Taye
· Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang +2 more
· Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen +3 more
· Jun Zhu, Liyuan Wang, Hang Su, Xingxing Zhang
· Chuyi Li, Lulu Li, Hongliang Jiang, Kaiheng Weng +14 more
· Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan, Mahtabin Rodela Rozbu +83 more
· Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai +5 more
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
7th Conference on Robot Learning (CoRL 2023) · 2023 · Jiajun Wu, Yunzhu Li, Ruohan Zhang, Wenlong Huang +55 more
· Reabal Najjar
SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2023 · Ying Wen, Lianghua He, Jiafeng Li, Jiafeng Li +155 more
· Tao Huang, Xiaohuan Pei, Shan You, Fei Wang +332 more
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
Science Advances · 2023 · Wei Fang, Yonghong Tian, Ding Chen, Huihui Zhou +19 more
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025) · 2024 · Jan Kautz, Ali Hatamizadeh
· Leo Grinsztajn, Edouard Oyallon, Gael Varoquaux, Leo Grinsztajn +2 more
A comprehensive survey on pretrained foundation models: A history from BERT to ChatGPT
International Journal of Machine Learning and Cybernetics · 2024 · Jun Yu, Guangjing Wang, Jia Wu, Lichao Sun +35 more
MambaOut: Do We Really Need Mamba for Vision?
CVPR · 2024 · Weihao Yu, Xinchao Wang
Review of Managerial Science · 2024 · Dominik K. Kanbach, Louisa Heiduk, Georg Blueher, Maximilian Schreiter
A comprehensive review on ensemble deep learning: Opportunities and challenges
Journal of King Saud University - Computer and Information Sciences · 2023 · Ammar Mohammed, Rania Kora
ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
International Conference on Learning Representations (ICLR) · 2024 · DongHao Luo, Xue Wang, DongHao Luo, Xue Wang +50 more
Artificial intelligence for geoscience: Progress, challenges, and perspectives
The Innovation · 2024 · Chaojun Ouyang, Tianjie Zhao, Lizhe Wang, Sheng Wang +21 more
Reinforcement learning algorithms: A brief survey
Expert Systems with Applications · 2023 · AK Shakya, G Pillai, S Chakrabarty
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
Natural Language Processing Journal 6 (2024) 100048 · 2023 · Katikapalli Subramanyam Kalyan
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2023 · Zhiqi Li, Xiaowei Hu, Yu Qiao, Wenhai Wang +18 more
CVPR 2024 · 2024 · Lin Song, Xiaohan Ding, Sijie Zhao, Ying Shan +63 more
DataComp: In search of the next generation of multimodal datasets
Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Datasets and Benchmarks Track · 2023 · Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase +30 more
Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022 · 2022 · Hanzi Mao, Trevor Darrell, Saining Xie, Zhuang Liu +8 more
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 · 2023 · Shueng-Han Gary Chan, Weipeng Zhuo, Jierun Chen, Hao He +11 more
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
CVPR 2024 · 2023 · Dai Shi, Dai Shi, Dai Shi, Dai Shi +53 more
IEEE Access · 2024 · Staphord Bengesi, Hoda El-Sayed, Md Kamruzzaman Sarker, Yao Houkpati +2 more
Neuromorphic computing at scale
Nature · 2025 · Dhireesha Kudithipudi, Catherine Schuman, Craig M. Vineyard, Tej Pandit +19 more
Masked Autoencoders Are Scalable Vision Learners
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · Kaiming He, Yanghao Li, Saining Xie, Xinlei Chen +2 more
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
CVPR 2023 · 2023 · Yinan He, Limin Wang, Yi Wang, Bingkun Huang +12 more
Optical neural networks: progress and challenges
Light: Science & Applications · 2024 · Tingzhao Fu, Jianfa Zhang, Run Sun, Yuyao Huang +304 more
CoCa: Contrastive Captioners are Image-Text Foundation Models
Transactions on Machine Learning Research (TMLR) · 2022 · Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung +2 more
ACM Transactions on… · 2024 · Qiuhao Lu, Xianfeng Tang, Fali Wang, Tzuhao Mo +208 more
Empowering biomedical discovery with AI agents
Cell · 2024 · Shanghua Gao, Valentina Giunchiglia, Marinka Zitnik, Ayush Noori +15 more
A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Information · 2024 · Ibomoiye Domor Mienye, Theo G. Swart
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2023 · Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun +5 more
On the Opportunities and Risks of Foundation Models
arXiv · 2021 · Ananya Kumar, Zanele Munyikwa, Isabel Papadimitriou, Mark Krass +224 more
Remote Sensing of Environment · 2023 · Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li +296 more
A Survey on Kolmogorov-Arnold Network
ACM Computing Surveys · 2024 · Shriyank Somvanshi, Syed Aaqib Javed, Md Monzurul Islam, Diwas Pandit +1 more
Computation · 2023 · Mohammad Mustafa Taye
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou, Jungong Han +2 more
Foundation models defining a new era in vision: a survey and outlook
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025 · Muhammad Awais, Muzammal Naseer, Salman Khan, Rao Muhammad Anwer +304 more
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
arXiv preprint · 2023 · Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker +8 more
Machine Learning Methods for Small Data Challenges in Molecular Science
Chemical Reviews · 2023 · Zailiang Zhu, Guo-Wei Wei, Bengong Zhang, Jie Liu +9 more
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
arXiv (preprint server), and Machine Learning (journal) · 2023 · Thinagaran Perumal, Farhad Mortezapour Shiri, Norwati Mustapha, Raihani Mohamed +135 more
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Advances in Neural Information Processing Systems 34 (NeurIPS 2021) · 2021 · Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar +2 more
Large Separable Kernel Attention: Rethinking the Large Kernel Attention design in CNN
Expert Systems With Applications · 2024 · Lai-Man Po, Yasar Abbas Ur Rehman, Kin Wai Lau, KW Lau +2 more
Data augmentation: A comprehensive survey of modern approaches
Array · 2022 · A. Mumuni, F. Mumuni
Emerging opportunities and challenges for the future of reservoir computing
Nature Communications · 2024 · Peter Tino, Can Huang, Peter Bienstman, Min Yan +6 more
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
Foundations and Trends® in Computer Graphics and Vision · 2024 · Lijuan Wang, Jianwei Yang, Chunyuan Li, Linjie Li +3 more
Artificial Intelligence Review · 2025 · Ranjan Sapkota, Marco Flores-Calero, Rizwan Qureshi, Chetan Badgujar +8 more
Swin Transformer V2: Scaling Up Capacity and Resolution
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao +8 more
Deep learning-based structural health monitoring
Automation in Construction · 2024 · Rahmat Ali, John Lewis, Young-Jin Cha, Rahmat Ali +144 more
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
arXiv · 2023 · Yunpeng Huang, Jingwei Xu, Zixu Jiang, Junyu Lai +606 more
Machine Learning: Algorithms, Real-World Applications and Research Directions
SN Computer Science · 2021 · Iqbal H. Sarker, Iqbal H. Sarker, Iqbal H. Sarker, Iqbal H. Sarker +2 more
Exploring Plain Vision Transformer Backbones for Object Detection
Computer Vision – ECCV 2022 · 2022 · Yanghao Li, Hanzi Mao, Ross Girshick, Kaiming He
MaxViT: Multi-Axis Vision Transformer
Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXIV · 2022 · Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang +3 more
Learning Transferable Visual Models From Natural Language Supervision
Proceedings of the 38th International Conference on Machine Learning · 2021 · Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh +8 more
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan +5 more
Bioengineering (Basel) · 2024 · Yan Xu, Rixiang Quan, Weiting Xu, Yi Huang +2 more
A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope
Sustainability · 2023 · Ahmad Waleed Salehi, Shakir Khan, Gaurav Gupta, Bayan Ibrahimm Alabduallah +410 more
Journal of Medical Systems · 2024 · Satoshi Takahashi, Yusuke Sakaguchi, Nobuji Kouno, Ken Takasawa +13 more
Training data-efficient image transformers & distillation through attention
Proceedings of the 38th International Conference on Machine Learning · 2021 · Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa +7 more
A comprehensive survey of loss functions and metrics in deep learning
Artificial Intelligence Review · 2025 · Juan Terven, Diana-Margarita Cordova-Esparza, Julio-Alejandro Romero-González, Alfonso Ramírez-Pedraza +1 more
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Proceedings of the 40th International Conference on Machine Learning, in Proceedings of Machine Learning Research · 2023 · Vaibhav Aggarwal, Haoqi Fan, Daniel Bolya, Christoph Feichtenhofer +634 more
Data-centric Artificial Intelligence: A Survey
ACM Computing Surveys · 2025 · Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang +3 more
SN Computer Science · 2021 · Iqbal H. Sarker, Iqbal H. Sarker
MLP-Mixer: An all-MLP Architecture for Vision
Advances in Neural Information Processing Systems 34 (NeurIPS 2021) · 2021 · Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer +8 more
Creating Large Language Model Applications Utilizing LangChain: A Primer on Developing LLM Apps Fast
International Conference on Applied Engineering and Natural Sciences · 2023 · Oguzhan Topsakal, Tahir Cetin Akinci
HexPlane: A Fast Representation for Dynamic Scenes
CVPR 2023 · 2023 · Ang Cao, Justin Johnson
Computational Visual Media · 2023 · Cheng-Ze Lu, Ming-Ming Cheng, Meng-Hao Guo, Shi-Min Hu +2 more
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
NeurIPS 2024 · 2024 · Rongyuan Wu, Lingchen Sun, Zhiyuan Ma, Lei Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2024 · Jiwoo Chung, Sangeek Hyun, Jae-Pil Heo
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) · 2023 · Raja Sunkara, Tie Luo
A Survey on Generative Diffusion Models
IEEE Transactions on Knowledge and Data Engineering · 2024 · Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu +3 more
InceptionNeXt: When Inception Meets ConvNeXt
CVPR 2024 · 2024 · Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang
ViViT: A Video Vision Transformer
2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun +2 more
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Nature Machine Intelligence · 2021 · L Lu, P Jin, G Pang, Z Zhang +95 more
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
38th Conference on Neural Information Processing Systems (NeurIPS 2024) · 2024 · Lirui Wang, Jialiang Zhao, Lirui Wang, Jialiang Zhao +93 more
A Survey on Vision Transformer
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023 · Yiman Zhang, Kai Han, Chunjing Xu, Yunhe Wang +23 more
Transfer learning for medical image classification: a literature review.
BMC medical imaging · 2022 · Hee E Kim, Alejandro Cosa-Linan, Nandhini Santhanam, Mahboubeh Jannesari +2 more
Deep learning for medical image segmentation: State-of-the-art advancements and challenges
Informatics in Medicine Unlocked · 2024 · Md Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim +2 more
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2024 · Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Ping Hu +3 more
Showing the top 100 of 1,061 resolved citing papers — see the full interactive list on Geoffrey Hinton's profile.
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