👁️ Computer Vision and Pattern Recognition
Computer Vision and Pattern Recognition is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Multimodal Machine Learning Applications», «Advanced Neural Network Applications», «Handwritten Text Recognition Techniques».
Papers
- Dense Passage Retrieval for Open-Domain Question AnsweringVladimir Karpukhin, Barlas Oguz, Sewon Min, et al.2020 · 5,370 citations
- EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksMingxing Tan, Quoc V. Le2019 · 5,308 citations
- Character-level Convolutional Networks for Text ClassificationXiang Zhang, Junbo Zhao, Yann LeCun2015 · 4,753 citations
- Billion-scale similarity search with GPUsJeff Johnson, Matthijs Douze, Hervé Jégou2017 · 4,687 citations
- Microsoft COCO: Common Objects in ContextTsung-Yi Lin, Michael Maire, Serge Belongie, et al.2014 · 4,529 citations
- Neural Architecture Search with Reinforcement LearningBarret Zoph, Quoc V. Le2016 · 4,331 citations
- Caffe: Convolutional Architecture for Fast Feature EmbeddingYangqing Jia, Evan Shelhamer, Jeff Donahue, et al.2014 · 4,064 citations
- Bidirectional LSTM-CRF Models for Sequence TaggingZhiheng Huang, Wei Xu, Kai Yu2015 · 3,802 citations
- Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,780 citations
- XLNet: Generalized Autoregressive Pretraining for Language UnderstandingZhilin Yang, Zihang Dai, Yiming Yang, et al.2019 · 3,740 citations
- A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
- SciBERT: A Pretrained Language Model for Scientific TextIz Beltagy, Kyle Lo, Arman Cohan2019 · 3,548 citations
- Measuring Massive Multitask Language UnderstandingDan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 3,489 citations
- HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringZhilin Yang, Peng Qi, Saizheng Zhang, et al.2018 · 3,489 citations
- Know What You Don't Know: Unanswerable Questions for SQuADPranav Rajpurkar, Robin Jia, Percy Liang2018 · 3,360 citations
- Qwen3 Technical ReportAn Yang, Anfeng Li, Baosong Yang, et al.2025 · 3,276 citations
- Self-Consistency Improves Chain of Thought Reasoning in Language ModelsXuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,035 citations
- Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksYukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,030 citations
- Language Models as Knowledge Bases?Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019 · 2,977 citations
- Gemini: A Family of Highly Capable Multimodal ModelsGemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 2,951 citations
- A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
- What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?Alex Kendall, Yarin Gal2017 · 2,844 citations
- Self-Attention with Relative Position RepresentationsPeter Shaw, Jakob Uszkoreit, Ashish Vaswani2018 · 2,811 citations
- LXMERT: Learning Cross-Modality Encoder Representations from TransformersHao Tan, Mohit Bansal2019 · 2,714 citations
- Hierarchical Text-Conditional Image Generation with CLIP LatentsAditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al.2022 · 2,599 citations
- Scalable Diffusion Models with TransformersWilliam Peebles, Saining Xie2022 · 2,595 citations
- SpanBERT: Improving Pre-training by Representing and Predicting SpansMandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,580 citations
- Improved Baselines with Visual Instruction TuningHaotian Liu, Chunyuan Li, Yuheng Li, et al.2023 · 2,557 citations
- Lost in the Middle: How Language Models Use Long ContextsNelson F. Liu, Kevin Lin, John Hewitt, et al.2023 · 2,540 citations
- An Overview of Multi-Task Learning in Deep Neural NetworksSebastian Ruder2017 · 2,506 citations
- Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, et al.2023 · 2,487 citations
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, et al.2022 · 2,416 citations
- Self-critical Sequence Training for Image CaptioningSteven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al.2016 · 2,367 citations
- UNITER: UNiversal Image-TExt Representation LearningYen-Chun Chen, Linjie Li, Licheng Yu, et al.2019 · 2,344 citations
- Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image CaptioningPiyush Sharma, Nan Ding, Sebastian Goodman, et al.2018 · 2,278 citations
- Named Entity Recognition with Bidirectional LSTM-CNNsJason P. C. Chiu, Eric Nichols2015 · 2,276 citations
- Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter2015 · 2,274 citations
- GPT-4o System CardOpenAI, Aaron Hurst, Adam Lerer, et al.2024 · 2,221 citations
- ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksJiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,217 citations
- Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
- Multimodal Transformer for Unaligned Multimodal Language SequencesYao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.2019 · 2,170 citations
- A Primer in BERTology: What We Know About How BERT WorksAnna Rogers, Olga Kovaleva, Anna Rumshisky2020 · 2,127 citations
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsJunnan Li, Dongxu Li, Silvio Savarese, et al.2023 · 2,114 citations
- Flamingo: a Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,108 citations
- Tensor Fusion Network for Multimodal Sentiment AnalysisAmir Zadeh, Minghai Chen, Soujanya Poria, et al.2017 · 2,107 citations
- Reading Tea Leaves: How Humans Interpret Topic ModelsJonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.2009 · 2,037 citations
- Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,020 citations
- Knowledge GraphsAidan Hogan, Eva Blomqvist, Michael Cochez, et al.2020 · 2,011 citations
- GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question AnsweringDrew A. Hudson, Christopher D. Manning2019 · 1,997 citations
- MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsTianqi Chen, Mu Li, Yutian Li, et al.2015 · 1,981 citations
- Bidirectional Attention Flow for Machine ComprehensionMinjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.2016 · 1,956 citations
- Focal Loss for Dense Object DetectionTsung-Yi Lin, Priya Goyal, Ross Girshick, et al.2017 · 1,867 citations
- Microsoft COCO Captions: Data Collection and Evaluation ServerXinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,859 citations
- Design Challenges and Misconceptions in Named Entity RecognitionLev Ratinov, Dan Roth2009 · 1,836 citations
- Oscar: Object-Semantics Aligned Pre-training for Vision-Language TasksXiujun Li, Xi Yin, Chunyuan Li, et al.2020 · 1,827 citations
- DeBERTa: Decoding-enhanced BERT with Disentangled AttentionPengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,800 citations
- Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringMichael Defferrard, Xavier Bresson, Pierre Vandergheynst2016 · 1,797 citations
- ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTOmar Khattab, Matei Zaharia2020 · 1,776 citations
- A Structured Self-attentive Sentence EmbeddingZhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,773 citations
- Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringGautier Izacard, Edouard Grave2021 · 1,674 citations
- Retrieval-Augmented Generation for Large Language Models: A SurveyYunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,647 citations
- Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,643 citations
- Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual GroundingAkira Fukui, Dong Huk Park, Daylen Yang, et al.2016 · 1,642 citations
- A Decomposable Attention Model for Natural Language InferenceAnkur Parikh, Oscar Täckström, Dipanjan Das, et al.2016 · 1,589 citations
- Deep Unsupervised Learning using Nonequilibrium ThermodynamicsJascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, et al.2015 · 1,588 citations
- Layer NormalizationJimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,587 citations
- Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionChao Jia, Yinfei Yang, Ye Xia, et al.2021 · 1,528 citations
- Score-Based Generative Modeling through Stochastic Differential EquationsYang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, et al.2020 · 1,528 citations
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextGemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,522 citations
- Efficient Transformers: A SurveyYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,513 citations
- Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be PrunedElena Voita, David Talbot, Fedor Moiseev, et al.2019 · 1,511 citations
- VisualBERT: A Simple and Performant Baseline for Vision and LanguageLiunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,510 citations
- Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion GraphAmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.2018 · 1,506 citations
- CLIPScore: A Reference-free Evaluation Metric for Image CaptioningJack Hessel, Ari Holtzman, Maxwell Forbes, et al.2021 · 1,498 citations
- How Can We Know What Language Models Know?Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.2020 · 1,493 citations
- Pre-Training with Whole Word Masking for Chinese BERTYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,485 citations
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationJunnan Li, Dongxu Li, Caiming Xiong, et al.2022 · 1,463 citations
- GLM: General Language Model Pretraining with Autoregressive Blank InfillingZhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,449 citations
- Sequence-Level Knowledge DistillationYoon Kim, Alexander M. Rush2016 · 1,440 citations
- Sigmoid Loss for Language Image Pre-TrainingXiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, et al.2023 · 1,427 citations
- DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,425 citations
- Zero-Shot Text-to-Image GenerationAditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,423 citations
- Improved Techniques for Training GANsTim Salimans, Ian Goodfellow, Wojciech Zaremba, et al.2016 · 1,420 citations
- Fast Graph Representation Learning with PyTorch GeometricMatthias Fey, Jan Eric Lenssen2019 · 1,413 citations
- LAION-5B: An open large-scale dataset for training next generation image-text modelsChristoph Schuhmann, Romain Beaumont, Richard Vencu, et al.2022 · 1,400 citations
- Unified Language Model Pre-training for Natural Language Understanding and GenerationLi Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,389 citations
- TVM: An Automated End-to-End Optimizing Compiler for Deep LearningTianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,371 citations
- Generation and Comprehension of Unambiguous Object DescriptionsJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,358 citations
- Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentsPeter Anderson, Qi Wu, Damien Teney, et al.2017 · 1,346 citations
- Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsRyan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,315 citations
- VideoBERT: A Joint Model for Video and Language Representation LearningChen Sun, Austin Myers, Carl Vondrick, et al.2019 · 1,305 citations
- Long Short-Term Memory-Networks for Machine ReadingJianpeng Cheng, Li Dong, Mirella Lapata2016 · 1,300 citations
- A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
- COMET: Commonsense Transformers for Automatic Knowledge Graph ConstructionAntoine Bosselut, Hannah Rashkin, Maarten Sap, et al.2019 · 1,282 citations
- ReferItGame: Referring to Objects in Photographs of Natural ScenesSahar Kazemzadeh, Vicente Ordonez, Mark Matten, et al.2014 · 1,276 citations
- CTRL: A Conditional Transformer Language Model for Controllable GenerationNitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,273 citations
- Latent Retrieval for Weakly Supervised Open Domain Question AnsweringKenton Lee, Ming-Wei Chang, Kristina Toutanova2019 · 1,234 citations
- PIQA: Reasoning about Physical Commonsense in Natural LanguageYonatan Bisk, Rowan Zellers, Ronan Le Bras, et al.2019 · 1,218 citations
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationJianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
- Efficient Low-rank Multimodal Fusion With Modality-Specific FactorsZhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, et al.2018 · 1,174 citations
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