Bayat, Reza

8 publications

NeurIPS 2025 Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron Courville, Se-Young Yun

ICLR 2025 The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob, David Lopez-Paz, Pascal Vincent

ICMLW 2024 Adversarial Training with Synthesized Data: A Path to Robust and Generalizable Neural Networks Reza Bayat, Irina Rish

ICMLW 2024 Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Mehrnaz Mofakhami, Reza Bayat, Ioannis Mitliagkas, Joao Monteiro, Valentina Zantedeschi

NeurIPSW 2024 The Pitfalls of Memorization: When Memorization Hinders Generalization Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob, David Lopez-Paz, Pascal Vincent

ICMLW 2024 Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques Rishika Bhagwatkar, Shravan Nayak, Reza Bayat, Alexis Roger, Daniel Z Kaplan, Pouya Bashivan, Irina Rish

ICMLW 2024 Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques Rishika Bhagwatkar, Shravan Nayak, Reza Bayat, Alexis Roger, Daniel Z Kaplan, Pouya Bashivan, Irina Rish

NeurIPS 2021 Adversarial Feature Desensitization Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Richards, Irina Rish