Ivan Kobyzev

According to our database, Ivan Kobyzev authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Resonance RoPE: Improving Context Length Generalization of Large Language Models.

Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu

CoRR, 2024

2023

Hyperparameter Optimization for Large Language Model Instruction-Tuning.

Christophe Tribes, Sacha Benarroch-Lelong, Peng Lu, Ivan Kobyzev

CoRR, 2023

Mathematical Challenges in Deep Learning.

Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen

CoRR, 2023

Efficient Classification of Long Documents via State-Space Models.

Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.

Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Do we need Label Regularization to Fine-tune Pre-trained Language Models?

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

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization.

Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Attribute Controlled Dialogue Prompting.

Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

KronA: Parameter Efficient Tuning with Kronecker Adapter.

Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh

CoRR, 2022

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

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

CoRR, 2022

Learning functions on multiple sets using multi-set transformers.

Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging.

Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization.

Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Normalizing Flows: An Introduction and Review of Current Methods.

Ivan Kobyzev, Simon J. D. Prince, Marcus A. Brubaker

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Equivariant Discrete Normalizing Flows.

Avishek Joey Bose, Ivan Kobyzev

CoRR, 2021

A Short Study on Compressing Decoder-Based Language Models.

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

CoRR, 2021

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

Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Representation Learning for Dynamic Graphs: A Survey.

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

J. Mach. Learn. Res., 2020

Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory.

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

CoRR, 2020

Tails of Lipschitz Triangular Flows.

Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus A. Brubaker

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Normalizing Flows: Introduction and Ideas.

Ivan Kobyzev, Simon Prince, Marcus A. Brubaker

CoRR, 2019

A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing.

Alexandrou Serb, Ivan Kobyzev, Jiaqi Wang, Themis Prodromakis

CoRR, 2019

Tails of Triangular Flows.

Priyank Jaini, Ivan Kobyzev, Marcus A. Brubaker, Yaoliang Yu

CoRR, 2019

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

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

CoRR, 2019

A Categorical Approach to Cyclic Cohomology of Quasi-Hopf Algebras and Hopf Algebroids.

Ivan Kobyzev, Ilya Shapiro

Appl. Categorical Struct., 2019