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Who cites Priya Goyal

1,346 citations of their works from 1,326 papers of our library (of the 149,439 whose bibliographies we read) · 138 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Priya Goyal

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  1. Momentum Contrast for Unsupervised Visual Representation LearningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKaiming He, Haoqi Fan, Yuxin Wu, et al.2019 · 13,302 citations
  2. YOLOv4: Optimal Speed and Accuracy of Object DetectionarXiv:2004.10934Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao2020 · 10,403 citations
  3. A Simple Framework for Contrastive Learning of Visual RepresentationsarXiv:2002.05709Ting Chen, Simon Kornblith, Mohammad Norouzi, et al.2020 · 8,000 citations
  4. Learning Transferable Architectures for Scalable Image RecognitionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.2017 · 6,583 citations
  5. Emerging Properties in Self-Supervised Vision TransformersIEEE/CVF International Conference on Computer Vision (ICCV)Mathilde Caron, Hugo Touvron, Ishan Misra, et al.2021 · 6,046 citations
  6. mixup: Beyond Empirical Risk MinimizationarXiv:1710.09412Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,928 citations
  7. Scalable Diffusion Models with TransformersIEEE/CVF International Conference on Computer Vision (ICCV)William Peebles, Saining Xie2022 · 2,670 citations
  8. Designing Network Design SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionIlija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, et al.2020 · 2,040 citations
  9. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
  10. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
  11. Segment AnythingarXiv:2304.02643Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 960 citations
  12. PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph CompilationACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)Jason Ansel, Edward Yang, Horace He, et al.2024 · 946 citations
  13. Scaling Neural Machine TranslationConference on Machine Translation: Research PapersMyle Ott, Sergey Edunov, David Grangier, et al.2018 · 826 citations
  14. Dice Loss for Data-imbalanced NLP TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoya Li, Xiaofei Sun, Yuxian Meng, et al.2020 · 735 citations
  15. Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and EvaluationIEEE/CVF International Conference on Computer Vision (ICCV)Xin Chen, Lingxi Xie, Jun Wu, et al.2019 · 732 citations
  16. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsMAPL 2019Philippe Tillet, H. T. Kung, David Cox2019 · 729 citations
  17. Horovod: fast and easy distributed deep learning in TensorFlowarXiv:1802.05799Alexander Sergeev, Mike Del Balso2018 · 695 citations
  18. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural NetworksarXiv:1802.08232Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.2018 · 692 citations
  19. Regularizing and Optimizing LSTM Language ModelsarXiv:1708.02182Stephen Merity, Nitish Shirish Keskar, Richard Socher2017 · 633 citations
  20. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
  21. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
  22. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object DetectionarXiv:2303.05499Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.2023 · 472 citations
  23. Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirectarXiv:1903.04611Ang Li, Shuaiwen Leon Song, Jieyang Chen, et al.2019 · 372 citations
  24. Training Tips for the Transformer ModelarXiv:1804.00247 · The Prague Bulletin of Mathematical Linguistics 110, April 2018, pp. 43-70Martin Popel, Ondřej Bojar2018 · 370 citations
  25. Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four MinutesarXiv:1807.11205Xianyan Jia, Shutao Song, Wei He, et al.2018 · 348 citations
  26. TextCaps: a Dataset for Image Captioning with Reading ComprehensionLecture notes in computer scienceOleksii Sidorov, Ronghang Hu, Marcus Rohrbach, et al.2020 · 331 citations
  27. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsarXiv:1802.04730Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, et al.2018 · 323 citations
  28. InternLM2 Technical ReportarXiv:2403.17297Zheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 301 citations
  29. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 citations
  30. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
  31. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
  32. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  33. Locate and Label: A Two-stage Identifier for Nested Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Yongliang Shen, Xinyin Ma, Zeqi Tan, et al.2021 · 232 citations
  34. Understanding the Difficulty of Training TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.2020 · 231 citations
  35. Generating Fact Checking ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL)Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.2020 · 220 citations
  36. Autoformalization with Large Language ModelsarXiv:2205.12615Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.2022 · 204 citations
  37. Findings of the 2021 Conference on Machine Translation (WMT21)Conference on Machine Translation (WMT)Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.2021 · 189 citations
  38. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
  39. Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge DistillationFindings of the Association for Computational LinguisticsQingyu Tan, Ruidan He, Lidong Bing, et al.2022 · 169 citations
  40. PipeDream: Fast and Efficient Pipeline Parallel DNN TrainingarXiv:1806.03377Aaron Harlap, Deepak Narayanan, Amar Phanishayee, et al.2018 · 162 citations
  41. Fine-Tuning Language Models with Just Forward PassesConference on Neural Information Processing Systems (NeurIPS)Sadhika Malladi, Tianyu Gao, Eshaan Nichani, et al.2023 · 153 citations
  42. Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningarXiv:2105.04165Pan Lu, Ran Gong, Shibiao Jiang, et al.2021 · 139 citations
  43. An Improved Baseline for Sentence-level Relation ExtractionConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Wenxuan Zhou, Muhao Chen2022 · 124 citations
  44. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 112 citations
  45. ImageNet Training in MinutesarXiv:1709.05011Yang You, Zhao Zhang, Cho-Jui Hsieh, et al.2017 · 112 citations
  46. End-to-End Bias Mitigation by Modelling Biases in CorporaAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson2020 · 111 citations
  47. DAPPLE: A Pipelined Data Parallel Approach for Training Large ModelsarXiv:2007.01045Shiqing Fan, Yi Rong, Chen Meng, et al.2020 · 107 citations
  48. IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language ReasoningarXiv:2110.13214Pan Lu, Liang Qiu, Jiaqi Chen, et al.2021 · 103 citations
  49. A Survey of Confidence Estimation and Calibration in Large Language ModelsarXiv:2311.08298Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.2023 · 97 citations
  50. SPARTQA: A Textual Question Answering Benchmark for Spatial ReasoningRoshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.2021 · 95 citations
  51. Zeus: Understanding and Optimizing GPU Energy Consumption of DNN TrainingarXiv:2208.06102Jie You, Jae-Won Chung, Mosharaf Chowdhury2022 · 82 citations
  52. Large Language Model Routing with Benchmark DatasetsarXiv:2309.15789Tal Shnitzer, Anthony Ou, Mirian Silva, et al.2023 · 63 citations
  53. On the limit of English conversational speech recognitionInterspeechZoltan Tuske, George Saon, Brian Kingsbury2021 · 49 citations
  54. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
  55. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
  56. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
  57. Stanceosaurus: Classifying Stance Towards Multicultural MisinformationConference on Empirical Methods in Natural Language Processing (EMNLP)Jonathan Zheng, Ashutosh Baheti, Tarek Naous, et al.2022 · 16 citations
  58. Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt StylesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxi Xia, Pedro Henrique Luz De Araujo, Klim Zaporojets, et al.2025 · 11 citations
  59. CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicInternational Workshop on Semantic Evaluation (SemEval)Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.2022 · 11 citations
  60. The IDC System for Sentiment Classification and Sarcasm Detection in ArabicArabic Natural Language Processing Workshop (WANLP)Abraham Israeli, Yotam Nahum, Shai Fine, et al.2021 · 10 citations
  61. PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsarXiv:2402.02791Yehui Tang, Kai Han, Fangcheng Liu, et al.2024 · 8 citations
  62. Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based ModelsArabic Natural Language Processing Workshop (WANLP)Reem Abdel-Salam2022 · 8 citations
  63. Multi-Label Classification for Implicit Discourse Relation RecognitionFindings of the Association for Computational LinguisticsWanqiu Long, N. Siddharth, Bonnie Webber2024 · 7 citations
  64. Re-Examining FactBank: Predicting the Author's Presentation of FactualityInternational Conference on Computational Linguistics (COLING)John Murzaku, Peter Zeng, Magdalena Markowska, et al.2022 · 7 citations
  65. RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yihong Dong, Xue Jiang, Yongding Tao, et al.2026 · 6 citations
  66. Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social MediaarXiv:2206.08407Abdelkader El Mahdaouy, Abdellah El Mekki, Ahmed Oumar, et al.2022 · 6 citations
  67. Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss FunctionarXiv:2410.03979Muhammad Azeem Aslam, Wang Jun, Nisar Ahmed, et al.2024 · 5 citations
  68. Ahmed and Khalil at NADI 2022: Transfer Learning and Addressing Class Imbalance for Arabic Dialect Identification and Sentiment AnalysisArabic Natural Language Processing Workshop (WANLP)Ahmed Oumar, Khalil Mrini2022 · 5 citations
  69. Stanceosaurus: Classifying Stance Towards Multilingual MisinformationarXiv:2210.15954Jonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter2022 · 5 citations
  70. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation RouterAnnual Meeting of the Association for Computational Linguistics (ACL)Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 4 citations
  71. ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token SelectionFindings of the Association for Computational LinguisticsTao Liu, Taiqiang Wu, Runming Yang, et al.2026 · 4 citations
  72. GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based ApproachWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksAli Mostafa, Omar Mohamed2022 · 4 citations
  73. Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act ClassificationConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Tulika Saha, Aditya Prakash Patra, Sriparna Saha, et al.2022 · 4 citations
  74. DeepPrune: Parallel Scaling without Inter-trace RedundancyFindings of the Association for Computational LinguisticsShangqing Tu, Yaxuan Li, Yushi Bai, et al.2026 · 3 citations
  75. COMICORDA: Dialogue Act Recognition in Comic BooksJiri Martinek, Pavel Kral, Ladislav Lenc, et al.2024 · 3 citations
  76. Nürnberg NLP at PsyDefDetect: Multi-Axis Voter Ensembles for Psychological Defence Mechanism ClassificationBioNLPPhilipp Steigerwald, Eric Rudolph, Jens Albrecht2026 · 2 citations
  77. SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Dien X. Tran, Nam V. Nguyen, Tran Tan Thanh, et al.2026 · 2 citations
  78. Thinking Nodes at MAHED: A Comparative Study of Multimodal Architectures for Arabic Hateful Meme DetectionArabic Natural Language Processing Conference (ArabicNLP)Itbaan Safwan2025 · 2 citations
  79. HTE at ArAIEval Shared Task: Integrating Content Type Information in Binary Persuasive Technique DetectionArabic Natural Language Processing Conference (ArabicNLP)Khaldi Hadjer, Taqiy Bouklouha2023 · 2 citations
  80. GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text DetectionWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksAli Mostafa, Omar Mohamed, Ali Ashraf2022 · 2 citations
  81. A Survey of Deep Learning for Geometry Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianzhe Ma, Wenxuan Wang, Qin Jin2026 · 1 citation
  82. AIWizards at MULTIPRIDE: A Hierarchical Approach to Slur Reclamation DetectionEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopLuca Tedeschini, Matteo Fasulo2026 · 1 citation
  83. Command-Line Obfuscation Detection in Real-World Telemetry under Extreme Class ImbalanceInternational Conference on Natural Language Processing and Artificial Intelligence for Cyber SecurityVojtěch Outrata, Barbora Štěpánková, Michael Adam Polák, et al.2026 · 1 citation
  84. Compatibility-Aware Dynamic Fine-Tuning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Zhou, Junwei Sheng, Qianning Wang, et al.2026 · 1 citation
  85. GRUPPETTOZZO at MultiPRIDE: Detecting LGBTQ+ Reclamatory Intent via Context-Aware TransformersEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopFederico Traina, Alessandro Santoro, Gabriele Greco, et al.2026 · 1 citation
  86. MALTO at FadeIT: A BERT-Based System for Multi-Label Fallacy Detection in Italian Social MediaEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopMatin Salami, Luca M. Rodia, Vladimir Schiau, et al.2026 · 1 citation
  87. PhucNguyen@DravidianLangTech 2026: Political Multiclass Sentiment Analysis with XLM-RoBERTa and Low-Rank AdaptationWorkshop on Speech, Vision, and Language Technologies for Dravidian LanguagesDinh Khac Phuc Nguyen, Thìn Đặng Văn2026 · 1 citation
  88. PuDy at FadeIT: Enhancing Fine-Grained Fallacy Detection with Hierarchy-Aware Training and Contextual EnrichmentEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopDuy Dang Phu, Son Bui Hong, Dang Van Thin2026 · 1 citation
  89. Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shize Zhou, Peiyu Liu, Lirong Fu, et al.2026 · 1 citation
  90. Stochastic Gradient Descenders at SemEval-2026 Task 9: Few-Shot LLM Prompting for Polarization Type ClassificationInternational Workshop on Semantic Evaluation (SemEval)Huynh Phu, Dang Thin2026 · 1 citation
  91. Team Macaroni at SemEval-2026 Task 10: PsyCoMark: Psycholinguistic Conspiracy Marker Extraction and DetectionInternational Workshop on Semantic Evaluation (SemEval)Rofaida Rabehi, Nicolai Plenk, Miriam Han2026 · 1 citation
  92. Tralaleros at SemEval-2026 Task 9: Multilingual Polarization Detection with Transformer-based ModelsInternational Workshop on Semantic Evaluation (SemEval)Adrian Dahl, Bado Völckers, Adam Mierzwa2026 · 1 citation
  93. TTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and ClassificationarXiv:2609.29633Ali Abusaleh, Bhuvanesh Verma, Alexander Mehler2026 · 1 citation
  94. YNU-HPCC at SemEval-2026 Task 12: Retrieval-Guided Reasoning with Teacher Distillation for Abductive Event ReasoningInternational Workshop on Semantic Evaluation (SemEval)Yuwei Sun, Jin Wang, Xuejie Zhang2026 · 1 citation
  95. “AGI” Team at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological EssaysInternational Workshop on Semantic Evaluation (SemEval)Harsh Rathva2026 · 1 citation
  96. mucAI at BAREC Shared Task 2025: Towards Uncertainty Aware Arabic Readability AssessmentArabic Natural Language Processing Conference (ArabicNLP)Ahmed Abdou2025 · 1 citation
  97. System Report for CCL25-Eval Task 4: Prompting, Scheduling, and Arbitration Strategies for Chinese Factivity InferenceChinese National Conference on Computational LinguisticsDaohuan Liu, Lun Xia, Yuxuan Zhang, et al.2025 · 1 citation
  98. YassirEA at MAHED 2025: Fusion-Based Multimodal Models for Arabic Hate Meme DetectionArabic Natural Language Processing Conference (ArabicNLP)El Attar, Yassir2025 · 1 citation
  99. _alexcristea@EEUCA 2026: A Robust Early-Fusion ERNIE Pipeline for Multimodal COVID-19 Vaccine Meme ClassificationWorkshop on Event Extraction and Understanding: Challenges and ApplicationsCristea Alexandru-Marian, Costin Ionescu2026
  100. A Multi-Task Learning Framework for Modeling Engagement and Topic-Sensitive Responses in Arabic Women's DiscourseFindings of the Association for Computational LinguisticsMabrouka Bessghaier, Md. Rafiul Biswas, Shimaa Ibrahim, et al.2026

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