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Fei Sha

  1. WeatherBench 2: A benchmark for the next generation of data-driven global weather models
    2023/08/29 by Stephan Rasp, Rasp, Stephan, Stephan Hoyer +33 · 72 citations
    Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis #Hydrological Forecasting Using AI
  2. Actor-Attention-Critic for Multi-Agent Reinforcement Learning
    2018/10/05 by Shariq Iqbal, Fei Sha, Iqbal, Shariq +1 · 25 citations
    Computer Science · #Adaptive Dynamic Programming Control #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
  3. Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
    2018/12/10 by Han-Jia Ye, Hexiang Hu, Ye, Han-Jia +5 · 21 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Multimodal Machine Learning Applications
  4. Video Summarization with Long Short-term Memory
    2016/05/26 by Ke Zhang, Zhang, Ke, Wei‐Lun Chao +5 · 19 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Video Analysis and Summarization
  5. Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
    2023/06/15 by Thomas Mensink, Mensink, Thomas, Jasper Uijlings +15 · 29 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  6. An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
    2016/05/13 by Wei‐Lun Chao, Chao, Wei-Lun, Soravit Changpinyo +5 · 25 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Geophysical Methods and Applications
  7. Attention Correctness in Neural Image Captioning
    2016/05/31 by Chenxi Liu, Junhua Mao, Liu, Chenxi +5 · 15 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
  8. Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025
    2025/04/13 by Nitya Thakkar, Mert Yuksekgonul, Thakkar, Nitya +16 · 3 voices · 16 citations
    Social Sciences · #Delphi Technique in Research
  9. Summary Transfer: Exemplar-based Subset Selection for Video Summarization
    2016/03/10 by Ke Zhang, Zhang, Ke, Wei‐Lun Chao +5 · 7 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Music and Audio Processing #Video Analysis and Summarization
  10. Generative AI for fast and accurate statistical computation of fluids
    2024/09/27 by Roberto Molinaro, Samuel Lanthaler, Molinaro, Roberto +22 · 1 voice · 10 citations
    Computer Science · Engineering · Physics and Astronomy · #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Time Series Analysis and Forecasting #cs.LG #math.NA #physics.flu-dyn
  11. Cross-Modal and Hierarchical Modeling of Video and Text
    2018/10/16 by Bowen Zhang, Hexiang Hu, Zhang, Bowen +3 · 5 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Video Analysis and Summarization
  12. Synthesized Classifiers for Zero-Shot Learning
    2016/03/02 by Soravit Changpinyo, Changpinyo, Soravit, Wei‐Lun Chao +5 · 5 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  13. V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
    2023/05/11 by Kun Su, Su, Kun, Judith Yue Li +19 · 7 citations
    Computer Science · #Music and Audio Processing #Music Technology and Sound Studies #Speech and Audio Processing
  14. The Impact of Depth on Compositional Generalization in Transformer Language Models
    2023/10/30 by Jackson Petty, Petty, Jackson, Sjoerd van Steenkiste +9 · 3 voices · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
  15. Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
    2023/06/01 by Anudhyan Boral, Boral, Anudhyan, Zhong Wan +13 · 6 citations
    Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  16. Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
    2023/05/24 by Zhong Wan, Wan, Zhong Yi, Ricardo Baptista +11 · 6 citations
    Computer Science · Earth and Planetary Sciences · Environmental Science · #Advanced Mathematical Modeling in Engineering #Applied Physics (physics.app-ph) #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  17. Learning Answer Embeddings for Visual Question Answering
    2018/06/10 by Hexiang Hu, Hu, Hexiang, Wei‐Lun Chao +3 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  18. A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
    2020/11/18 by Bowen Zhang, Hexiang Hu, Zhang, Bowen +13 · 5 citations
    Computer Science · #Multimodal Machine Learning Applications #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning
  19. HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks
    2021/10/28 by Filipe de Avila Belbute-Peres, Yifan Chen, Belbute-Peres, Filipe de Avila +3 · 4 citations
    Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  20. Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
    2020/06/07 by Shariq Iqbal, Christian A. Schroeder de Witt, Iqbal, Shariq +9 · 4 citations
    Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques #Artificial Intelligence in Games
  21. Multi-Task Learning for Sequence Tagging: An Empirical Study
    2018/08/13 by Soravit Changpinyo, Hexiang Hu, Changpinyo, Soravit +3 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  22. Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
    2016/05/26 by Soravit Changpinyo, Changpinyo, Soravit, Wei‐Lun Chao +3 · 2 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  23. Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
    2021/09/25 by Linlu Qiu, Hexiang Hu, Qiu, Linlu +7 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  24. Dynamical-generative downscaling of climate model ensembles
    2024/10/02 by Ignacio Lopez‐Gomez, Zhong Wan, Lopez-Gomez, Ignacio +9 · 5 citations
    Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Ecosystem dynamics and resilience #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  25. Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets
    2017/04/24 by Wei‐Lun Chao, Chao, Wei-Lun, Hexiang Hu +3 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  26. ALMA: Hierarchical Learning for Composite Multi-Agent Tasks
    2022/05/27 by Shariq Iqbal, Iqbal, Shariq, Robby Costales +3 · 2 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  27. Sparse Compositional Metric Learning
    2014/04/15 by Yuan Shi, Aurélien Bellet, Shi, Yuan +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing
    2022/09/29 by Yury Zemlyanskiy, Michiel de Jong, Zemlyanskiy, Yury +13 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  29. Similarity Learning for High-Dimensional Sparse Data
    2014/11/10 by Kuan Liu, Liu, Kuan, Aurélien Bellet +3 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
  30. An alternative text representation to TF-IDF and Bag-of-Words
    2013/01/28 by Zhixiang Xu, Zhixiang, Minmin Chen +6 · 1 citation
    Computer Science · #Algorithms and Data Compression #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  31. Topic Augmented Generator for Abstractive Summarization
    2019/08/19 by Melissa Ailem, Ailem, Melissa, Bowen Zhang +3 · 1 citation
    Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  32. Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation
    2020/06/13 by Zhiyun Lu, Lu, Zhiyun, Eugene Ie +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  33. Aligning where to see and what to tell: image caption with region-based attention and scene factorization
    2015/06/20 by Junqi Jin, Kun Fu, Jin, Junqi +7 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Video Analysis and Summarization
  34. Co-training Transformer with Videos and Images Improves Action Recognition
    2021/12/14 by Bowen Zhang, Jiahui Yu, Zhang, Bowen +11 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Medical Imaging and Analysis
  35. Improving Compositional Generalization with Latent Structure and Data Augmentation
    2021/12/14 by Linlu Qiu, Peter Shaw, Qiu, Linlu +11 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  36. FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
    2022/12/15 by Michiel de Jong, Yury Zemlyanskiy, de Jong, Michiel +11 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Natural Language Processing Techniques #Topic Modeling
  37. Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
    2023/01/25 by Zhong Wan, Wan, Zhong Yi, Leonardo Zepeda-Núñez +5 · 1 citation
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
  38. Regional climate risk assessment from climate models using probabilistic machine learning
    2024/12/11 by Zhong Wan, Zhong Yi Wan, Ignacio Lopez-Gomez +15 · 1 voice · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #cs.LG #math.NA #physics.ao-ph
  39. Two-Stage Metric Learning
    2014/05/12 by Jun Wang, Ke Sun, Wang, Jun +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
  40. Kernel Approximation Methods for Speech Recognition
    2017/01/13 by Avner May, May, Avner, Alireza Bagheri Garakani +21 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Speech Recognition and Synthesis #Speech and Audio Processing
  41. A High-resolution Large-eddy Simulation Framework for Wildland Fire Predictions using TensorFlow
    2022/12/09 by Qing Wang, Wang, Qing, Matthias Ihme +15 · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fire effects on ecosystems #Fluid Dynamics (physics.flu-dyn) #Landslides and related hazards #Meteorological Phenomena and Simulations
  42. Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
    2024/09/13 by Shantanu Shahane, Shahane, Shantanu, Sheide Chammas +19 · 1 citation
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Numerical Analysis (math.NA)