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"

20 / 20 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 38 107 0 10 Apr 2025
A Distributional Perspective on Word Learning in Neural Language Models Filippo Ficarra Ryan Cotterell Alex Warstadt 48 1 0 09 Feb 2025
Unsupervised Word Discovery: Boundary Detection with Clustering vs. Dynamic Programming Simon Malan Benjamin van Niekerk Herman Kamper 25 0 0 22 Sep 2024
A model of early word acquisition based on realistic-scale audiovisual naming events Khazar Khorrami Okko Rasanen NAI 40 0 0 07 Jun 2024
Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns Constantinos Patsakis Fran Casino Nikolaos Lykousas 39 12 0 30 Apr 2024
Pre-training LLMs using human-like development data corpus Khushi Bhardwaj Raj Sanjay Shah Sashank Varma 22 6 0 08 Nov 2023
Language acquisition: do children and language models follow similar learning stages? Linnea Evanson Yair Lakretz J. King 27 26 0 06 Jun 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 19 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 26 30 0 27 Oct 2022
Unsupervised Word Segmentation using K Nearest Neighbors T. Fuchs Yedid Hoshen Joseph Keshet SSL 22 6 0 27 Apr 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 35 10 0 21 Sep 2021
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics Okko Rasanen María Andrea Cruz Blandón 14 25 0 03 Aug 2020
Semi-Supervised Speech Recognition via Local Prior Matching Wei-Ning Hsu Ann Lee Gabriel Synnaeve Awni Y. Hannun SSL 19 31 0 24 Feb 2020
Computational and Robotic Models of Early Language Development: A Review Pierre-Yves Oudeyer George Kachergis William Schueller LM&Ro 11 6 0 25 Mar 2019
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
An embedded segmental K-means model for unsupervised segmentation and clustering of speech Herman Kamper Karen Livescu Sharon Goldwater 9 95 0 23 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 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 135 401 0 05 Mar 2015
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 82 2,980 0 04 Mar 2010