Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner

29 July 2016

Papers citing "Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner"

28 / 28 papers shown

Title
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora Alex Warstadt Aaron Mueller Leshem Choshen E. Wilcox Chengxu Zhuang ... Rafael Mosquera Bhargavi Paranjape Adina Williams Tal Linzen Ryan Cotterell 49 110 0 10 Apr 2025
A Distributional Perspective on Word Learning in Neural Language Models Filippo Ficarra Ryan Cotterell Alex Warstadt 56 1 0 09 Feb 2025
Unsupervised Word Discovery: Boundary Detection with Clustering vs. Dynamic Programming Simon Malan Benjamin van Niekerk Herman Kamper 30 0 0 22 Sep 2024
A model of early word acquisition based on realistic-scale audiovisual naming events Khazar Khorrami Okko Rasanen NAI 45 0 0 07 Jun 2024
Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns Constantinos Patsakis Fran Casino Nikolaos Lykousas 47 13 0 30 Apr 2024
Pre-training LLMs using human-like development data corpus Khushi Bhardwaj Raj Sanjay Shah Sashank Varma 32 6 0 08 Nov 2023
Language acquisition: do children and language models follow similar learning stages? Linnea Evanson Yair Lakretz J. King 32 27 0 06 Jun 2023
A framework for the emergence and analysis of language in social learning agents Tobias J. Wieczorek Tatjana Tchumatchenko Carlos Wert Carvajal Maximilian F. Eggl 29 1 0 04 May 2023
The Construction of Reality in an AI: A Review J. W. Johnston 3DV 13 1 0 03 Feb 2023
Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus Alex Warstadt Leshem Choshen Aaron Mueller Adina Williams Ethan Gotlieb Wilcox Chengxu Zhuang 27 54 0 27 Jan 2023
Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challenge Ewan Dunbar Nicolas Hamilakis Emmanuel Dupoux SSL 34 30 0 27 Oct 2022
What Artificial Neural Networks Can Tell Us About Human Language Acquisition Alex Warstadt Samuel R. Bowman 27 111 0 17 Aug 2022
Unsupervised Word Segmentation using K Nearest Neighbors T. Fuchs Yedid Hoshen Joseph Keshet SSL 30 6 0 27 Apr 2022
Word Discovery in Visually Grounded, Self-Supervised Speech Models Puyuan Peng David Harwath SSL 20 39 0 28 Mar 2022
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings Badr M. Abdullah Iuliia Zaitova T. Avgustinova Bernd Möbius Dietrich Klakow 37 10 0 21 Sep 2021
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks Herman Kamper Benjamin van Niekerk SSL MQ 23 35 0 14 Dec 2020
Human vs. supervised machine learning: Who learns patterns faster? Niklas Kühl Marc Goutier Lucas Baier C. Wolff Dominik Martin 17 45 0 30 Nov 2020
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics Okko Rasanen María Andrea Cruz Blandón 30 25 0 03 Aug 2020
Semi-Supervised Speech Recognition via Local Prior Matching Wei-Ning Hsu Ann Lee Gabriel Synnaeve Awni Y. Hannun SSL 27 31 0 24 Feb 2020
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks R. Thomas McCoy Robert Frank Tal Linzen 25 106 0 10 Jan 2020
Computational and Robotic Models of Early Language Development: A Review Pierre-Yves Oudeyer George Kachergis William Schueller LM&Ro 41 6 0 25 Mar 2019
Unsupervised Word Segmentation from Speech with Attention Pierre Godard Marcely Zanon Boito Lucas Ondel Alexandre Berard François Yvon Aline Villavicencio Laurent Besacier 21 27 0 18 Jun 2018
Are words easier to learn from infant- than adult-directed speech? A quantitative corpus-based investigation Adriana Guevara-Rukoz Alejandrina Cristià Bogdan Ludusan Roland Thiollière Andrew Martin R. Mazuka Emmanuel Dupoux 13 13 0 23 Dec 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 889 0 11 Nov 2017
An embedded segmental K-means model for unsupervised segmentation and clustering of speech Herman Kamper Karen Livescu Sharon Goldwater 19 95 0 23 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016
EmoNets: Multimodal deep learning approaches for emotion recognition in video Samira Ebrahimi Kahou Xavier Bouthillier Pascal Lamblin Çağlar Gülçehre Vincent Michalski ... Aaron Courville Pascal Vincent Roland Memisevic C. Pal Yoshua Bengio 140 401 0 05 Mar 2015
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 110 2,982 0 04 Mar 2010