vix.ing · top · new · best · stats · spec

Grangier, David

  1. Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
    2024/01/29 by Pratyush Maini, Skyler Seto, Maini, Pratyush +9 · 3 voices · 30 citations
    Computer Science · #Natural Language Processing Techniques
  2. Language Modeling with Gated Convolutional Networks
    2016/12/23 by Dauphin, Yann N., Fan, Angela, Auli, Michael +1 · 63 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  3. AudioLM: a Language Modeling Approach to Audio Generation
    2022/09/07 by Zalán Borsos, Borsos, Zalán, Raphaël Marinier +18 · 94 citations
    Computer Science · #Speech Recognition and Synthesis #Music and Audio Processing #Speech and Audio Processing
  4. fairseq: A Fast, Extensible Toolkit for Sequence Modeling
    2019/04/01 by Myle Ott, Sergey Edunov, Ott, Myle +13 · 64 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  5. ELI5: Long Form Question Answering
    2019/07/22 by Angela Fan, Yacine Jernite, Fan, Angela +9 · 54 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  6. Efficient Content-Based Sparse Attention with Routing Transformers
    2020/03/12 by Roy, Aurko, Saffar, Mohammad, Vaswani, Ashish +1 · 30 citations
    #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
  7. Convolutional Sequence to Sequence Learning
    2017/05/08 by Gehring, Jonas, Auli, Michael, Grangier, David +2 · 24 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  8. 3D human pose estimation in video with temporal convolutions and\n semi-supervised training
    2018/11/28 by Dario Pavllo, Pavllo, Dario, Christoph Feichtenhofer +5 · 25 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Video Surveillance and Tracking Methods
  9. Contrastive Learning of General-Purpose Audio Representations
    2020/10/21 by Saeed, Aaqib, Grangier, David, Zeghidour, Neil · 18 citations
    #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
  10. High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics
    2021/11/17 by Freitag, Markus, Grangier, David, Tan, Qijun +1 · 9 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Wavesplit: End-to-End Speech Separation by Speaker Clustering
    2020/02/20 by Zeghidour, Neil, Grangier, David · 7 citations
    #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sound (cs.SD) #electronic engineering #information engineering
  12. QuaterNet: A Quaternion-based Recurrent Model for Human Motion
    2018/05/16 by Dario Pavllo, David Grangier, Pavllo, Dario +3 · 7 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Human Motion and Animation #Human Pose and Action Recognition
  13. Efficient softmax approximation for GPUs
    2016/09/14 by Grave, Edouard, Joulin, Armand, Cissé, Moustapha +2 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Analyzing Uncertainty in Neural Machine Translation
    2018/02/28 by Myle Ott, Michael Auli, Ott, Myle +5 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  15. BLEU might be Guilty but References are not Innocent
    2020/04/13 by Freitag, Markus, Grangier, David, Caswell, Isaac · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. The AdEMAMix Optimizer: Better, Faster, Older
    2024/09/05 by Matteo Pagliardini, Pierre Ablin, Pagliardini, Matteo +3 · 10 citations
    Engineering · Medicine · #FOS: Computer and information sciences #Fault Detection and Control Systems #Hemodynamic Monitoring and Therapy #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Controllable Abstractive Summarization
    2017/11/14 by Fan, Angela, Grangier, David, Auli, Michael · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  18. Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
    2025/02/09 by Louis Béthune, David Grangier, Bethune, Louis +9 · 9 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Neural Networks and Applications
  19. Pretraining with hierarchical memories: separating long-tail and common knowledge
    2025/09/29 by Hadi Pouransari, David Grangier, Pouransari, Hadi +8 · 3 voices · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Ferroelectric and Negative Capacitance Devices #Parallel Computing and Optimization Techniques #cs.AI #cs.CL #cs.LG
  20. Tagged Back-Translation
    2019/06/15 by Caswell, Isaac, Chelba, Ciprian, Grangier, David · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Scaling Laws for Optimal Data Mixtures
    2025/07/12 by Mustafa Shukor, Shukor, Mustafa, Louis Béthune +11 · 10 citations
    Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Learning from Heterogeneous EEG Signals with Differentiable Channel\n Reordering
    2020/10/21 by Aaqib Saeed, Saeed, Aaqib, David Grangier +5 · 2 citations
    Computer Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural dynamics and brain function #Signal Processing (eess.SP) #electronic engineering #information engineering
  23. Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
    2024/09/30 by Grangier, David, Fan, Simin, Seto, Skyler +1 · 6 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Strategies for Training Large Vocabulary Neural Language Models
    2015/12/15 by Chen, Welin, Grangier, David, Auli, Michael · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. A Convolutional Encoder Model for Neural Machine Translation
    2016/11/07 by Gehring, Jonas, Auli, Michael, Grangier, David +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  26. Scaling Neural Machine Translation
    2018/06/01 by Ott, Myle, Edunov, Sergey, Grangier, David +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  27. Toward Better Storylines with Sentence-Level Language Models
    2020/05/11 by Ippolito, Daphne, Grangier, David, Eck, Douglas +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  28. Human-Paraphrased References Improve Neural Machine Translation
    2020/10/20 by Markus Freitag, Freitag, Markus, George Foster +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  29. Learning strides in convolutional neural networks
    2022/02/03 by Rachid Riad, Olivier Teboul, Riad, Rachid +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  30. Adaptive Training Distributions with Scalable Online Bilevel Optimization
    2023/11/20 by David Grangier, Pierre Ablin, Grangier, David +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  31. Transfer Learning for Structured Pruning under Limited Task Data
    2023/11/10 by Lucio M. Dery, David Grangier, Dery, Lucio +3 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications
  32. Need a Small Specialized Language Model? Plan Early!
    2024/02/02 by Grangier, David, Katharopoulos, Angelos, Ablin, Pierre +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. Dynamic Gradient Alignment for Online Data Mixing
    2024/10/03 by Fan, Simin, Grangier, David, Ablin, Pierre · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  34. Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
    2024/10/31 by Huang, Chen, Seto, Skyler, Abnar, Samira +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  35. Training Bilingual LMs with Data Constraints in the Targeted Language
    2024/11/20 by Seto, Skyler, ter Hoeve, Maartje, Bai, Richard He +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. The Data-Quality Illusion: Rethinking Classifier-Based Quality Filtering for LLM Pretraining
    2025/10/01 by Saada, Thiziri Nait, Bethune, Louis, Klein, Michal +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)