F. Sha

Most-cited papers

Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal, F. Sha
2018International Conference on Machine Learning1,019 citations
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Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, F. Sha
2018Computer Vision and Pattern Recognition867 citations Open access
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WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models
S. Rasp, Stephan Hoyer, Alexander Merose, I. Langmore +14 more
2023Journal of Advances in Modeling Earth Systems469 citations Open access
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Cross-Modal and Hierarchical Modeling of Video and Text
Bowen Zhang, Hexiang Hu, F. Sha
2018European Conference on Computer Vision211 citations Open access
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Active learning for accelerated design of layered materials
Lindsay Bassman, P. Rajak, R. Kalia, Aiichiro Nakano +7 more
2018npj Computational Materials166 citations Open access
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Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts
Kun Fu, Junqi Jin, Runpeng Cui, F. Sha +1 more
2017IEEE Transactions on Pattern Analysis and Machine Intelligence165 citations Open access
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Generative emulation of weather forecast ensembles with diffusion models
Li-Zao Li, Rob Carver, I. Lopez‐Gomez, F. Sha +1 more
2024Science Advances164 citations Open access
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Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
Thomas Mensink, J. Uijlings, Lluís Castrejón, A. Goel +5 more
2023IEEE International Conference on Computer Vision153 citations Open access
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Retrospective Encoders for Video Summarization
Ke Zhang, K. Grauman, F. Sha
2018European Conference on Computer Vision135 citations
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Deep learned tissue “fingerprints” classify breast cancers by ER/PR/Her2 status from H&E images
R. Rawat, Itzel Ortega, P. Roy, F. Sha +3 more
2020Scientific Reports110 citations Open access
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Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Shariq Iqbal, C. S. D. Witt, Bei Peng, Wendelin Böhmer +2 more
2020International Conference on Machine Learning95 citations
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Learning Embedding Adaptation for Few-Shot Learning
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, F. Sha
2018arXiv.org91 citations
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BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
Wang Bill Zhu, Hexiang Hu, Jiacheng Chen, Zhi-Wei Deng +3 more
2020Annual Meeting of the Association for Computational Linguistics87 citations Open access
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Dynamical-generative downscaling of climate model ensembles
I. Lopez-Gomez, Yi-Wan Zhong, L. Zepeda-Núñez, Tapio Schneider +2 more
2024Proceedings of the National Academy of Sciences of the United States of America81 citations Open access
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Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025
Nitya Thakkar, Mert Yuksekgonul, J. Silberg, Animesh Garg +5 more
2025arXiv.org74 citations
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Multi-Task Learning for Sequence Tagging: An Empirical Study
Soravit Changpinyo, Hexiang Hu, F. Sha
2018International Conference on Computational Linguistics68 citations
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HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks
Filipe de Avila Belbute-Peres, Yi-Fan Chen, F. Sha
2021arXiv.org66 citations
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Co-training Transformer with Videos and Images Improves Action Recognition
Bowen Zhang, Jiahui Yu, C. Fifty, Wei Han +3 more
2021arXiv.org65 citations
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Robust Active Label Correction
Jan Kremer, F. Sha, C. Igel
2018International Conference on Artificial Intelligence and Statistics64 citations
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Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
Linlu Qiu, Peter Shaw, Panupong Pasupat, Tian-Ze Shi +4 more
2022Conference on Empirical Methods in Natural Language Processing61 citations Open access
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Improving Compositional Generalization with Latent Structure and Data Augmentation
Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak +3 more
2021North American Chapter of the Association for Computational Linguistics61 citations Open access
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Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning
Shariq Iqbal, F. Sha
2019arXiv.org61 citations
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AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization
Sayali Kulkarni, S. Chammas, Wan Zhu, F. Sha +1 more
2020arXiv.org58 citations
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MENTION MEMORY : INCORPORATING TEXTUAL KNOWLEDGE INTO TRANSFORMERS THROUGH ENTITY MENTION ATTENTION
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, F. Sha +1 more
2022International Conference on Learning Representations56 citations
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Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
Zhong Y. Wan, R. Baptista, Yi-Fan Chen, John R. Anderson +3 more
2023Neural Information Processing Systems52 citations Open access
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Classifier and Exemplar Synthesis for Zero-Shot Learning
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, F. Sha
2018International Journal of Computer Vision52 citations
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Cross-Dataset Adaptation for Visual Question Answering
F. Sha, Hexiang Hu, Wei-Lun Chao
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition51 citations
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A large-scale randomized study of large language model feedback in peer review
Nitya Thakkar, Mert Yuksekgonul, J. Silberg, Animesh Garg +5 more
2026Nature Machine Intelligence49 citations
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The Impact of Depth on Compositional Generalization in Transformer Language Models
Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, F. Sha +2 more
2023North American Chapter of the Association for Computational Linguistics49 citations Open access
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Kernel Approximation Methods for Speech Recognition
Avner May, A. Garakani, Zhiyun Lu, Dong Guo +8 more
2017Journal of machine learning research49 citations
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FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald +3 more
2022Annual Meeting of the Association for Computational Linguistics47 citations Open access
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Bayesian teaching enables probabilistic reasoning in large language models
Lin-Lu Qiu, F. Sha, Kelsey Allen, Yoon Kim +2 more
2025Nature Communications46 citations Open access
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A Bayesian Theory of Mind Approach to Nonverbal Communication
Jin Joo Lee, F. Sha, C. Breazeal
2019IEEE/ACM International Conference on Human-Robot Interaction45 citations
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DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Yair Schiff, Zhong Y. Wan, J. Parker, Stephan Hoyer +3 more
2024International Conference on Machine Learning44 citations
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ALMA: Hierarchical Learning for Composite Multi-Agent Tasks
Shariq Iqbal, Robby Costales, F. Sha
2022Neural Information Processing Systems43 citations Open access
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A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
Bowen Zhang, Hexiang Hu, Joonseok Lee, Mingde Zhao +4 more
2020arXiv.org42 citations
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Toward an Internet of Battlefield Things: A Resilience Perspective
T. Abdelzaher, Nora Ayanian, T. Başar, S. Diggavi +20 more
2018Computer42 citations
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Generative AI for fast and accurate Statistical Computation of Fluids
Roberto Molinaro, S. Lanthaler, Bogdan Raonic, T. Rohner +5 more
2024arXiv.org41 citations
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Learning Answer Embeddings for Visual Question Answering
F. Sha, Wei-Lun Chao, Hexiang Hu
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition41 citations
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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets
Wei-Lun Chao, Hexiang Hu, F. Sha
2017North American Chapter of the Association for Computational Linguistics41 citations Open access
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User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
Marc Finzi, Anudhyan Boral, A. Wilson, F. Sha +1 more
2023International Conference on Machine Learning40 citations Open access
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V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Kun Su, Judith Yue Li, Qing-Qing Huang, D. Kuzmin +7 more
2023AAAI Conference on Artificial Intelligence36 citations Open access
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Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT
T. Abdelzaher, Nora Ayanian, T. Başar, S. Diggavi +20 more
2018IEEE International Conference on Distributed Computing Systems34 citations
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Drinking From a Firehose: Continual Learning With Web-Scale Natural Language
Hexiang Hu, Ozan Sener, F. Sha, V. Koltun
2020IEEE Transactions on Pattern Analysis and Machine Intelligence33 citations Open access
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SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models
Li-Zao Li, Rob Carver, I. Lopez‐Gomez, F. Sha +1 more
2023arXiv.org32 citations Open access
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When MAML Can Adapt Fast and How to Assist When It Cannot
Sébastien M. R. Arnold, Shariq Iqbal, F. Sha
2019International Conference on Artificial Intelligence and Statistics31 citations
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Research and implementation of eco-grouting material derived from shield tunneling muck
Wei Wang, Ningning Wang, Yijun Bao, Quanfeng Wang +3 more
2024Case Studies in Construction Materials29 citations Open access
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A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, F. Sha +2 more
2023North American Chapter of the Association for Computational Linguistics27 citations
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Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
Anudhyan Boral, Zhong Y. Wan, L. Zepeda-Núñez, J. Lottes +4 more
2023Neural Information Processing Systems23 citations Open access
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Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw +1 more
2021Conference on Empirical Methods in Natural Language Processing23 citations Open access
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