Yordan Yordanov : Publications
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[1]
A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks
Tommaso Salvatori‚ Yuhang Song‚ Yordan Yordanov‚ Beren Millidge‚ Lei Sha‚ Cornelius Emde‚ Zhenghua Xu‚ Rafal Bogacz and Thomas Lukasiewicz
In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.
Details about A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks | BibTeX data for A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks
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[2]
Few−Shot Out−of−Domain Transfer Learning of Natural Language Explanations in a Label−Abundant Setup
Yordan Yordanov‚ Vid Kocijan‚ Thomas Lukasiewicz and Oana−Maria Camburu
In Findings of EMNLP 2022. Pages 3486–3501. Association for Computational Linguistics. December, 2022.
Details about Few−Shot Out−of−Domain Transfer Learning of Natural Language Explanations in a Label−Abundant Setup | BibTeX data for Few−Shot Out−of−Domain Transfer Learning of Natural Language Explanations in a Label−Abundant Setup | Link to Few−Shot Out−of−Domain Transfer Learning of Natural Language Explanations in a Label−Abundant Setup
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[3]
Predictive Coding Beyond Gaussian Distributions
Luca Pinchetti‚ Tommaso Salvatori‚ Yordan Yordanov‚ Beren Millidge‚ Yuhang Song and Thomas Lukasiewicz
In Proceedings of the 36th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2022‚ New Orleans‚ Louisiana‚ USA. Pages 1280–1293. November, 2022.
Details about Predictive Coding Beyond Gaussian Distributions | BibTeX data for Predictive Coding Beyond Gaussian Distributions | Link to Predictive Coding Beyond Gaussian Distributions
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[4]
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
Yordan Yordanov‚ Oana−Maria Camburu‚ Vid Kocijan and Thomas Lukasiewicz
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2020‚ November 16–20‚ 2020. Pages 4963–4969. Association for Computational Linguistics. November, 2020.
Details about Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution | BibTeX data for Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution | Link to Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
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[5]
A Surprisingly Robust Trick for the Winograd Schema Challenge
Vid Kocijan‚ Ana−Maria Cretu‚ Oana−Maria Camburu‚ Yordan Yordanov and Thomas Lukasiewicz
In Anna Korhonen and David Traum, editors, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics‚ ACL 2019‚ Florence‚ Italy‚ July 28 − August 2‚ 2019. Association for Computational Linguistics. July, 2019.
Details about A Surprisingly Robust Trick for the Winograd Schema Challenge | BibTeX data for A Surprisingly Robust Trick for the Winograd Schema Challenge | Link to A Surprisingly Robust Trick for the Winograd Schema Challenge
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[6]
WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution
Vid Kocijan‚ Oana−Maria Camburu‚ Ana−Maria Cretu‚ Yordan Yordanov‚ Phil Blunsom and Thomas Lukasiewicz
In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing‚ EMNLP−IJCNLP 2019‚ Hong Kong‚ China‚ November 3–7‚ 2019. November, 2019.
Details about WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution | BibTeX data for WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution | Link to WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution