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Niculae, Vlad

  1. Learning with Fenchel-Young Losses
    2019/01/08 by Mathieu Blondel, André F. T. Martins, Blondel, Mathieu +3 · 13 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Mechanics and Entropy
  2. Sparse Sequence-to-Sequence Models
    2019/05/14 by Ben Peters, Peters, Ben, Vlad Niculae +3 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  3. Adaptively Sparse Transformers
    2019/08/30 by Gonçalo M. Correia, Correia, Gonçalo M., Vlad Niculae +3 · 11 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  4. Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
    2018/05/24 by Blondel, Mathieu, Martins, André F. T., Niculae, Vlad · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. A Regularized Framework for Sparse and Structured Neural Attention
    2017/05/22 by Vlad Niculae, Niculae, Vlad, Mathieu Blondel +1 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  6. Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game
    2015/06/15 by Niculae, Vlad, Kumar, Srijan, Boyd-Graber, Jordan +1 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  7. SparseMAP: Differentiable Sparse Structured Inference
    2018/02/12 by Vlad Niculae, Niculae, Vlad, André F. T. Martins +5 · 4 citations
    Computer Science · #68T50 #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies #Topic Modeling
  8. Sparse and Continuous Attention Mechanisms
    2020/06/12 by André F. T. Martins, António Farinhas, Martins, André F. T. +9 · 3 citations
    Computer Science · #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) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
  9. Multi-output Polynomial Networks and Factorization Machines
    2017/05/22 by Mathieu Blondel, Vlad Niculae, Blondel, Mathieu +5 · 2 citations
    Computer Science · Mathematics · #Polynomial and algebraic computation #Tensor decomposition and applications #Complexity and Algorithms in Graphs
  10. Argument Mining with Structured SVMs and RNNs
    2017/04/23 by Niculae, Vlad, Park, Joonsuk, Cardie, Claire · 2 citations
    #68T50 #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7
  11. Sparse Continuous Distributions and Fenchel-Young Losses
    2021/08/04 by André F. T. Martins, Marcos V. Treviso, Martins, André F. T. +11 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
  12. Sparse and Structured Hopfield Networks
    2024/02/21 by Saul Santos, Santos, Saul, Vlad Niculae +5 · 3 citations
    Computer Science · Mathematics · #Interconnection Networks and Systems #Graph theory and applications
  13. QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns
    2015/04/06 by Niculae, Vlad, Suen, Caroline, Zhang, Justine +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  14. Conversational Markers of Constructive Discussions
    2016/04/25 by Niculae, Vlad, Danescu-Niculescu-Mizil, Cristian · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  15. Sparse and Structured Visual Attention
    2020/02/13 by Martins, Pedro Henrique, Niculae, Vlad, Marinho, Zita +1 · 1 citation
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  16. LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
    2020/01/13 by Niculae, Vlad, Martins, André F. T. · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
    2020/07/03 by Correia, Gonçalo M., Niculae, Vlad, Aziz, Wilker +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. On Measuring Context Utilization in Document-Level MT Systems
    2024/02/02 by Mohammed, Wafaa, Niculae, Vlad · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  19. On the Low-Rank Parametrization of Reward Models for Controlled Language Generation
    2024/07/05 by Troshin, Sergey, Niculae, Vlad, Fokkens, Antske · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  20. Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
    2025/09/20 by Sergey Troshin, Troshin, Sergey, Wafaa Mohammed +9 · 2 citations
    Engineering · #Flow Measurement and Analysis
  21. Context-Aware or Context-Insensitive? Assessing LLMs' Performance in Document-Level Translation
    2024/10/18 by Wafaa Mohammed, Vlad Niculae, Mohammed, Wafaa +1 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
  22. Movie Facts and Fibs (MF2): A Benchmark for Long Movie Understanding
    2025/06/06 by Emmanouil Zaranis, António Farinhas, Zaranis, Emmanouil +59 · 2 citations
    Computer Science · #Multimodal Machine Learning Applications #Generative Adversarial Networks and Image Synthesis #Topic Modeling