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Learning Filterbanks from Raw Speech for Phoneme Recognition
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In: ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01888737 ; ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada (2018)
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End-to-End Speech Recognition From the Raw Waveform
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In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01888739 ; Interspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2414⟩ (2018)
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SING: Symbol-to-Instrument Neural Generator
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In: Conference on Neural Information Processing Systems (NIPS) ; https://hal.archives-ouvertes.fr/hal-01899949 ; Conference on Neural Information Processing Systems (NIPS), Dec 2018, Montréal, Canada (2018)
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Fader Networks: Manipulating Images by Sliding Attributes
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In: 31st Conference on Neural Information Processing Systems (NIPS 2017) ; https://hal.archives-ouvertes.fr/hal-02275215 ; 31st Conference on Neural Information Processing Systems (NIPS 2017), Dec 2017, Long Beach, CA, United States. pp.5969-5978 (2017)
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Multiview self-learning
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In: ISSN: 0925-2312 ; Neurocomputing ; https://hal.archives-ouvertes.fr/hal-01211216 ; Neurocomputing, Elsevier, 2015, 155, pp.117-127. ⟨10.1016/j.neucom.2014.12.041⟩ ; http://www.sciencedirect.com/science/article/pii/S0925231214017056 (2015)
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Open Question Answering with Weakly Supervised Embedding Models
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In: European Conference (ECML PKDD 2014) ; https://hal.archives-ouvertes.fr/hal-01344007 ; European Conference (ECML PKDD 2014), Sep 2014, nancy, France. pp.165-180, ⟨10.1007/978-3-662-44848-9_11⟩ (2014)
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Open Question Answering with Weakly Supervised Embedding Models ...
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Abstract:
Building computers able to answer questions on any subject is a long standing goal of artificial intelligence. Promising progress has recently been achieved by methods that learn to map questions to logical forms or database queries. Such approaches can be effective but at the cost of either large amounts of human-labeled data or by defining lexicons and grammars tailored by practitioners. In this paper, we instead take the radical approach of learning to map questions to vectorial feature representations. By mapping answers into the same space one can query any knowledge base independent of its schema, without requiring any grammar or lexicon. Our method is trained with a new optimization procedure combining stochastic gradient descent followed by a fine-tuning step using the weak supervision provided by blending automatically and collaboratively generated resources. We empirically demonstrate that our model can capture meaningful signals from its noisy supervision leading to major improvements over ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/1404.4326 https://dx.doi.org/10.48550/arxiv.1404.4326
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Multiview Semi-Supervised Learning for Ranking Multilingual Documents
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In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ; https://hal.archives-ouvertes.fr/hal-01286156 ; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2011, Athens, Greece. pp.443-458, ⟨10.1007/978-3-642-23808-6_29⟩ (2011)
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Combining Coregularization and Consensus-Based Self-Training for Multilingual Text Categorization
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In: Proceedings of the 33rd Annual ACM SIGIR Conference (SIGIR 2010) ; The 33rd Annual ACM SIGIR Conference (SIGIR 2010) ; https://hal.archives-ouvertes.fr/hal-01291883 ; The 33rd Annual ACM SIGIR Conference (SIGIR 2010), Jul 2010, Geneva, Switzerland. pp.475-482, ⟨10.1145/1835449.1835529⟩ (2010)
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Towards Understanding Situated Natural Language
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In: 13th International Conference on Artificial Intelligence and Statistics ; https://hal.archives-ouvertes.fr/hal-00750937 ; 13th International Conference on Artificial Intelligence and Statistics, May 2010, Chia Laguna Resort, Sardinia, Italy. pp.65-72 (2010)
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Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM
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In: Multilingual Information Access Evaluation II. Multimedia Experiments ; CLEF 2009 - 10th Workshop of the Cross-Language Evaluation Forum ; https://hal.archives-ouvertes.fr/hal-00581661 ; CLEF 2009 - 10th Workshop of the Cross-Language Evaluation Forum, Sep 2009, Corfu, Greece. pp.291-294, ⟨10.1007/978-3-642-15751-6_37⟩ (2009)
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Learning from Multiple Partially Observed Views -- an Application to Multilingual Text Categorization
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In: Advances in Neural Information Processing Systems ; https://hal.archives-ouvertes.fr/hal-01297947 ; Advances in Neural Information Processing Systems, Dec 2009, Vancouver, Canada (2009)
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