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2020 – today
- 2023
[c8]Shruti Bhargava, Anand Dhoot, Ing-Marie Jonsson, Hoang Long Nguyen, Alkesh Patel, Hong Yu, Vincent Renkens:
Referring to Screen Texts with Voice Assistants. ACL (industry) 2023: 752-762- [i6]Shruti Bhargava, Anand Dhoot, Ing-Marie Jonsson, Hoang Long Nguyen, Alkesh Patel, Hong Yu, Vincent Renkens:
Referring to Screen Texts with Voice Assistants. CoRR abs/2306.07298 (2023) - [i5]Halim Cagri Ates, Shruti Bhargava, Site Li, Jiarui Lu, Siddhardha Maddula, Joel Ruben Antony Moniz, Anil Kumar Nalamalapu, Roman Hoang Nguyen, Melis Özyildirim, Alkesh Patel, Dhivya Piraviperumal, Vincent Renkens, Ankit Samal, Thy Tran, Bo-Hsiang Tseng, Hong Yu, Yuan Zhang, Rong Zou:
MARRS: Multimodal Reference Resolution System. CoRR abs/2311.01650 (2023) - 2021
- [j3]Jakob Poncelet
, Vincent Renkens, Hugo Van hamme:
Low resource end-to-end spoken language understanding with capsule networks. Comput. Speech Lang. 66: 101142 (2021) - [c7]Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak:
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. Interspeech 2021: 226-230 - [i4]Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak:
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. CoRR abs/2108.01208 (2021) - [i3]Alkesh Patel, Joel Ruben Antony Moniz, Roman Nguyen, Nick Tzou, Hadas Kotek, Vincent Renkens:
MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants. CoRR abs/2110.06416 (2021)
2010 – 2019
- 2018
- [c6]Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq:
State Gradients for RNN Memory Analysis. BlackboxNLP@EMNLP 2018: 344-346 - [c5]Vincent Renkens, Hugo Van hamme:
Capsule Networks for Low Resource Spoken Language Understanding. INTERSPEECH 2018: 601-605 - [c4]Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq:
State Gradients for RNN Memory Analysis. INTERSPEECH 2018: 1467-1471 - [i2]Vincent Renkens, Hugo Van hamme:
Capsule Networks for Low Resource Spoken Language Understanding. CoRR abs/1805.02922 (2018) - [i1]Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq:
State Gradients for RNN Memory Analysis. CoRR abs/1805.04264 (2018) - 2017
- [j2]Vincent Renkens, Hugo Van hamme:
Automatic relevance determination for nonnegative dictionary learning in the gamma-Poisson model. Signal Process. 132: 121-133 (2017) - [j1]Vincent Renkens, Hugo Van hamme:
Weakly Supervised Learning of Hidden Markov Models for Spoken Language Acquisition. IEEE ACM Trans. Audio Speech Lang. Process. 25(2): 285-295 (2017) - 2016
- [c3]Vincent Renkens, Vikrant Tomar, Hugo Van hamme:
Incrementally learn the relevance of words in a dictionary for spoken language acquisition. SLT 2016: 144-150 - 2015
- [c2]Vincent Renkens, Hugo Van hamme:
Mutually exclusive grounding for weakly supervised non-negative matrix factorisation. INTERSPEECH 2015: 1388-1392 - 2014
- [c1]Vincent Renkens, Steven Janssens, Bart Ons, Jort F. Gemmeke, Hugo Van hamme:
Acquisition of ordinal words using weakly supervised NMF. SLT 2014: 30-35
Coauthor Index
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