Ivan Kobyzev

41 papers A* 3A 4Journal 26Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
Integral Transformer: Denoising Attention, Not Too Much Not Too Little.
EMNLP
Ivan Kobyzev, Abbas Ghaddar, Dingtao Hu, Boxing Chen
2025 J jnl
Integral Transformer: Denoising Attention, Not Too Much Not Too Little.
CoRR
Ivan Kobyzev, Abbas Ghaddar, Dingtao Hu, Boxing Chen
2025 — conf
ReGLA: Refining Gated Linear Attention.
NAACL (Long Papers)
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Boxing Chen, Philippe Langlais
2025 J jnl
ReGLA: Refining Gated Linear Attention.
CoRR
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Boxing Chen, Philippe Langlais
2024 — conf
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity.
EMNLP (Findings)
Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev
2024 J jnl
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity.
CoRR
Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev
2024 — conf
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection.
ACL (Findings)
Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar Zaïane, Boxing Chen
2024 J jnl
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection.
CoRR
Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar R. Zaïane, Boxing Chen
2024 — conf
Resonance RoPE: Improving Context Length Generalization of Large Language Models.
ACL (Findings)
Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu
2024 J jnl
Resonance RoPE: Improving Context Length Generalization of Large Language Models.
CoRR
Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu
2023 — conf
Attribute Controlled Dialogue Prompting.
ACL (Findings)
Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
2023 J jnl
Attribute Controlled Dialogue Prompting.
CoRR
Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
2023 A conf
Do we need Label Regularization to Fine-tune Pre-trained Language Models?
EACL
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi
2023 A conf
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.
EACL
Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
2023 A* conf
Efficient Classification of Long Documents via State-Space Models.
EMNLP
Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev
2023 J jnl
Hyperparameter Optimization for Large Language Model Instruction-Tuning.
CoRR
Christophe Tribes, Sacha Benarroch-Lelong, Peng Lu, Ivan Kobyzev
2023 — conf
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization.
ACL (Findings)
Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais
2023 J jnl
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization.
CoRR
Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais
2023 J jnl
Mathematical Challenges in Deep Learning.
CoRR
Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
2022 — conf
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization.
EMNLP (Findings)
Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
2022 J jnl
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization.
CoRR
Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
2022 J jnl
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.
CoRR
Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
2022 — conf
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging.
EMNLP (Findings)
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
2022 J jnl
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging.
CoRR
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
2022 J jnl
KronA: Parameter Efficient Tuning with Kronecker Adapter.
CoRR
Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
2022 J jnl
Learning Functions on Multiple Sets using Multi-Set Transformers.
CoRR
Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
2022 A conf
Learning functions on multiple sets using multi-set transformers.
UAI
Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
2022 J jnl
Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models.
CoRR
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart
2021 J jnl
A Short Study on Compressing Decoder-Based Language Models.
CoRR
Tianda Li, Yassir El Mesbahi, Ivan Kobyzev, Ahmad Rashid, Atif Mahmud, Nithin Anchuri, Habib Hajimolahoseini, Yang Liu, Mehdi Rezagholizadeh
2021 J jnl
Equivariant Discrete Normalizing Flows.
CoRR
Avishek Joey Bose, Ivan Kobyzev
2021 J jnl
Normalizing Flows: An Introduction and Review of Current Methods.
IEEE Trans. Pattern Anal. Mach. Intell.
Ivan Kobyzev, Simon J. D. Prince, Marcus A. Brubaker
2021 A conf
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation.
EACL
Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova
2020 J jnl
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory.
CoRR
Nabiha Asghar, Ivan Kobyzev, Jesse Hoey, Pascal Poupart, Muhammad Bilal Sheikh
2020 J jnl
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation.
CoRR
Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova
2020 J jnl
Representation Learning for Dynamic Graphs: A Survey.
J. Mach. Learn. Res.
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart
2020 A* conf
Tails of Lipschitz Triangular Flows.
ICML
Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus A. Brubaker
2019 J jnl
A Categorical Approach to Cyclic Cohomology of Quasi-Hopf Algebras and Hopf Algebroids.
Appl. Categorical Struct.
Ivan Kobyzev, Ilya Shapiro
2019 J jnl
A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing.
CoRR
Alexandrou Serb, Ivan Kobyzev, Jiaqi Wang, Themis Prodromakis
2019 J jnl
Normalizing Flows: Introduction and Ideas.
CoRR
Ivan Kobyzev, Simon Prince, Marcus A. Brubaker
2019 J jnl
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey.
CoRR
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart
2019 J jnl
Tails of Triangular Flows.
CoRR
Priyank Jaini, Ivan Kobyzev, Marcus A. Brubaker, Yaoliang Yu