All publications sorted by author
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| Unsupervised Learning for Information Distillation, , Idiap-RR-47-2007 |
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| Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity, , and , in: 25th ACM International Conference on Multimodal Interaction, 2023 |
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| Evaluation of SVM Binary Classification with Nonparametric Stochastic Simulations, , Idiap-RR-07-2001 |
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| Spatial Data Mapping with Support Vector Regression, and , Idiap-RR-09-2000 |
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| Numerical Experiments with Support Vector Machines, and , Idiap-RR-15-1999 |
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| Environmental spatial data classification with Support Vector Machines, , , and , Idiap-RR-07-1999 |
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| Advanced Spatial Data Analysis and Modelling with Support Vector Machines, , , and , Idiap-RR-31-2000 |
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| Support Vector Machines for Classification and Mapping of Reservoir Data, , , , , and , Idiap-RR-04-2001 |
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| Environmental Data Mapping with Support Vector Regression and Geostatistics, , and , Idiap-RR-10-2000 |
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| Reading Companion: The Technical and Social Design of an Automated Reading Tutor, , , , , and , in: Workshop on Child, Computer and Interaction, Portland, Oregon, U.S.A., 2012 |
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| Modeling Annotator Behaviors for Crowd Labeling, , , and , in: Neurocomputing, 160:141–156, 2015 |
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| Real-Time DCT Learning-based Reconstruction of Neural Signals, , and , in: EUSIPCO, 2018 |
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| Variational Information Bottleneck for Effective Low-Resource Fine-Tuning, , and , in: ICLR, 2021 |
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| End-to-End Bias Mitigation by Modelling Biases in Corpora, , and , in: ACL, 2020 |
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| Compacter: Efficient Low-Rank Hypercomplex Adapter Layers, , and , in: NeurIPS, 2021 |
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| A Learning-Based Framework for Quantized Compressed Sensing, , and , in: A Learning-Based Framework for Quantized Compressed Sensing, 2019 |
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| Learning Entailment-Based Sentence Embeddings from Natural Language Inference, , and , Idiap-RR-20-2019 |
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| Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks, , , and , in: ACL, 2021 |
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| PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models, , , , , , and , in: ACL, 2022 |
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| Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models, , École Polytechnique Fédérale de Lausanne, 2022 |
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| Processing Megapixel Images with Deep Attention-Sampling Models, and , Idiap-RR-07-2019 |
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| Processing Megapixel Images with Deep Attention-Sampling Models, and , in: Proceedings of International Conference on Machine Learning, 2019 |
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| Not All Samples Are Created Equal: Deep Learning with Importance Sampling, and , Idiap-RR-12-2018 |
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| Not All Samples Are Created Equal: Deep Learning with Importance Sampling, and , in: Proceedings of International Conference on Machine Learning, 2018 |
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| Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention, , , and , in: Proceedings of International Conference on Machine Learning, 2020 |
| Haptic Feedback Compared with Visual Feedback for BCI, , , , , and , in: Proceedings of the 3rd International Brain-Computer Interface Workshop & Training Course 2006, 2006 |
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| Combining Wavelet-domain Hidden Markov Trees with Hidden Markov Models, , and , Idiap-RR-14-1999 |
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| Machine Learning Approaches to Text Representation using Unlabeled Data, , Ecole Polytechnique Fédérale de Lausanne, 2006 |
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| Machine Learning Approaches to Text Representation using Unlabeled Data, , Idiap-RR-76-2006 |
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| A Multitask Learning Approach to Document Representation using Unlabeled Data, and , Idiap-RR-44-2006 |
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| A Neural Network for Text Representation, and , in: International Conference on Artificial Neural Networks, ICANN, 2005 |
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| A Neural Network for Text Representation, and , Idiap-RR-12-2005 |
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| Theme Topic Mixture Model: A Graphical Model for Document Representation, and , in: Pascal Workshop on Text Mining and Understanding, 2004 |
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| Theme Topic Mixture Model: A Graphical Model for Document Representation, and , Idiap-RR-05-2004 |
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| Textual Data Representation, and , Idiap-RR-74-2003 |
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| Benchmarking Non-Parametric Statistical Tests, , and , in: Advances in Neural Information Processing Systems, NIPS 18. MIT Press, 2005 |
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| Benchmarking Non-Parametric Statistical Tests, , and , Idiap-RR-38-2005 |
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| {S}ignificance {T}ests for {\em Bizarre} {M}easures in 2-{C}lass {C}lassification {T}asks, , and , Idiap-RR-34-2004 |
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| Active Shape Models Using Local Binary Patterns, and , Idiap-RR-07-2006 |
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| A comparison of noise reduction techniques for robust speech recognition, , Idiap-RR-10-1999 |
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| Towards introducing long-term statistics in MUSE for robust speech recognition, and , in: Automatic Speech Recognition and Understanding (ASRU) workshop, 1999 |
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| Towards introducing long-term statistics in MUSE for robust speech recognition, and , Idiap-RR-18-1999 |
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| A comparison of two strategies for ASR in additive noise : Missing Data and Spectral Subtraction, and , Idiap-RR-17-1999 |
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| A comparison of two strategies for ASR in additive noise : Missing Data and Spectral Subtraction, and , in: 6th European Conference on Speech Communication and Technology --- Eurospeech'99, 1999 |
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| Theoretical Foundations for Large-Margin Kernel-Based Continuous Speech Recognition, , Idiap-RR-44-2007 |
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| Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, and , John Wiley & Sons, 2008 |
| Discriminative Kernel-Based Phoneme Sequence Recognition, , , , and , Idiap-RR-14-2006 |
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| A Kernel Wrapper for Phoneme Sequence Recognition, and , in: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, John Wiley and Sons, 2009 |
| Discriminative Keyword Spotting, , and , in: Speech Communication, 51(4), 2009 |
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| Discriminatove Keyword Spotting, , and , Idiap-RR-31-2008 |
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