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Ivan Kobyzev
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2020 – today
- 2024
- [c13]Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu:
Resonance RoPE: Improving Context Length Generalization of Large Language Models. ACL (Findings) 2024: 586-598 - [c12]Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar Zaïane, Boxing Chen:
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. ACL (Findings) 2024: 6322-6334 - [c11]Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev:
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity. EMNLP (Findings) 2024: 2267-2272 - [i21]Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu:
Resonance RoPE: Improving Context Length Generalization of Large Language Models. CoRR abs/2403.00071 (2024) - [i20]Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar R. Zaïane, Boxing Chen:
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. CoRR abs/2406.01919 (2024) - [i19]Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev:
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity. CoRR abs/2410.01028 (2024) - 2023
- [c10]Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart:
Attribute Controlled Dialogue Prompting. ACL (Findings) 2023: 2380-2389 - [c9]Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais:
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. ACL (Findings) 2023: 5759-5774 - [c8]Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi:
Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL 2023: 166-177 - [c7]Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi:
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. EACL 2023: 3266-3279 - [c6]Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev:
Efficient Classification of Long Documents via State-Space Models. EMNLP 2023: 6559-6565 - [i18]Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen:
Mathematical Challenges in Deep Learning. CoRR abs/2303.15464 (2023) - [i17]Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais:
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. CoRR abs/2305.04971 (2023) - [i16]Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart:
Attribute Controlled Dialogue Prompting. CoRR abs/2307.05228 (2023) - [i15]Christophe Tribes, Sacha Benarroch-Lelong
, Peng Lu, Ivan Kobyzev:
Hyperparameter Optimization for Large Language Model Instruction-Tuning. CoRR abs/2312.00949 (2023) - 2022
- [c5]Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais:
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. EMNLP (Findings) 2022: 4948-4954 - [c4]Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi:
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. EMNLP (Findings) 2022: 5260-5269 - [c3]Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart:
Learning functions on multiple sets using multi-set transformers. UAI 2022: 1760-1770 - [i14]Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart:
Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. CoRR abs/2205.12428 (2022) - [i13]Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart:
Learning Functions on Multiple Sets using Multi-Set Transformers. CoRR abs/2206.15444 (2022) - [i12]Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi:
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. CoRR abs/2210.07558 (2022) - [i11]Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais:
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. CoRR abs/2212.05956 (2022) - [i10]Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi:
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. CoRR abs/2212.05998 (2022) - [i9]Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh:
KronA: Parameter Efficient Tuning with Kronecker Adapter. CoRR abs/2212.10650 (2022) - 2021
- [j3]Ivan Kobyzev
Normalizing Flows: An Introduction and Review of Current Methods. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3964-3979 (2021) - [c2]Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova:
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. EACL 2021: 416-423 - [i8]Tianda Li, Yassir El Mesbahi, Ivan Kobyzev, Ahmad Rashid, Atif Mahmud, Nithin Anchuri, Habib Hajimolahoseini, Yang Liu, Mehdi Rezagholizadeh:
A Short Study on Compressing Decoder-Based Language Models. CoRR abs/2110.08460 (2021) - [i7]Avishek Joey Bose, Ivan Kobyzev:
Equivariant Discrete Normalizing Flows. CoRR abs/2110.08649 (2021) - 2020
- [j2]Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart:
Representation Learning for Dynamic Graphs: A Survey. J. Mach. Learn. Res. 21: 70:1-70:73 (2020) - [c1]Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus A. Brubaker:
Tails of Lipschitz Triangular Flows. ICML 2020: 4673-4681 - [i6]Nabiha Asghar, Ivan Kobyzev, Jesse Hoey, Pascal Poupart, Muhammad Bilal Sheikh:
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory. CoRR abs/2003.03645 (2020) - [i5]Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova:
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. CoRR abs/2004.10809 (2020)
2010 – 2019
- 2019
- [j1]Ivan Kobyzev, Ilya Shapiro:
A Categorical Approach to Cyclic Cohomology of Quasi-Hopf Algebras and Hopf Algebroids. Appl. Categorical Struct. 27(1): 85-109 (2019) - [i4]Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart:
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. CoRR abs/1905.11485 (2019) - [i3]Priyank Jaini, Ivan Kobyzev, Marcus A. Brubaker, Yaoliang Yu:
Tails of Triangular Flows. CoRR abs/1907.04481 (2019) - [i2]Alexandrou Serb, Ivan Kobyzev, Jiaqi Wang, Themis Prodromakis:
A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing. CoRR abs/1907.05688 (2019) - [i1]Ivan Kobyzev, Simon Prince, Marcus A. Brubaker:
Normalizing Flows: Introduction and Ideas. CoRR abs/1908.09257 (2019)
Coauthor Index
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