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Learning Functions on Multiple Sets using Multi-Set Transformers


Jun 30, 2022
Kira Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart


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Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models


May 25, 2022
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart


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Equivariant Discrete Normalizing Flows


Oct 16, 2021
Avishek Joey Bose, Ivan Kobyzev

* Preprint 

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A Short Study on Compressing Decoder-Based Language Models


Oct 16, 2021
Tianda Li, Yassir El Mesbahi, Ivan Kobyzev, Ahmad Rashid, Atif Mahmud, Nithin Anchuri, Habib Hajimolahoseini, Yang Liu, Mehdi Rezagholizadeh


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Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation


Apr 22, 2020
Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova

* Follow up to ACL 2020 submission 

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Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory


Apr 16, 2020
Nabiha Asghar, Ivan Kobyzev, Jesse Hoey, Pascal Poupart, Muhammad Bilal Sheikh


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Normalizing Flows: Introduction and Ideas


Aug 25, 2019
Ivan Kobyzev, Simon Prince, Marcus A. Brubaker


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Tails of Triangular Flows


Jul 10, 2019
Priyank Jaini, Ivan Kobyzev, Marcus Brubaker, Yaoliang Yu


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Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey


May 27, 2019
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart

* 49 pages, 2 figures 

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