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1
Experience Grounds Language ...
BASE
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2
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
In: Proc IEEE Int Conf Comput Vis (2020)
BASE
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3
On sample efficiency and systematic generalization of grounded language understanding with deep learning
BASE
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4
Advances in deep learning methods for speech recognition and understanding
BASE
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5
CLOSURE: Assessing Systematic Generalization of CLEVR Models ...
BASE
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6
Deep neural networks for natural language processing and its acceleration
Lin, Zhouhan. - 2019
BASE
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7
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction ...
BASE
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8
Representation Mixing for TTS Synthesis ...
BASE
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9
Learning and time : on using memory and curricula for language understanding
BASE
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10
Deep learning
Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron. - Cambridge [u.a.] : The MIT Press, 2016
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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11
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism ...
BASE
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12
Context-Dependent Word Representation for Neural Machine Translation ...
BASE
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13
Learning to Understand Phrases by Embedding the Dictionary ...
BASE
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14
Apprentissage d'espaces sémantiques
BASE
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15
BilBOWA: Fast Bilingual Distributed Representations without Word Alignments ...
BASE
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16
Embedding Word Similarity with Neural Machine Translation ...
BASE
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17
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation ...
BASE
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18
Not All Neural Embeddings are Born Equal ...
BASE
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19
Word representations: a simple and general method for semi-supervised learning
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 384-394
BLLDB
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20
Hierarchical semi-markov conditional random fields for recursive sequential data
Truyen, Tran The; Phung, Dinh Q.; Bui, Hung H.. - : Curran Associates, 2008
BASE
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