activity
20192025
most citedProbing Representation Forgetting in Supervised and Unsupervised Continual Learning

4 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation

MohammadReza Davari, Utkarsh Garg, Weixin Cai +1

An increasing number of NLP applications interact with large language models (LLMs) through black-box APIs, making prompt engineering critical for controlling model behavior. Recen…

cs.LG2023★ 2 cited

Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks

MohammadReza Davari, Eugene Belilovsky

The rapid development of AI systems has been greatly influenced by the emergence of foundation models. A common approach for targeted problems involves fine-tuning these pre-traine…

cs.LG2022★ 3 cited

Reliability of CKA as a Similarity Measure in Deep Learning

MohammadReza Davari, Stefan Horoi, Amine Natik +3

Comparing learned neural representations in neural networks is a challenging but important problem, which has been approached in different ways. The Centered Kernel Alignment (CKA)…

cs.LG2022★ 4 cited

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

MohammadReza Davari, Nader Asadi, Sudhir Mudur +2

Continual Learning research typically focuses on tackling the phenomenon of catastrophic forgetting in neural networks. Catastrophic forgetting is associated with an abrupt loss of…

cs.RO2019

Identifying Multiple Interaction Events from Tactile Data during Robot-Human Object Transfer

Mohammad-Javad Davari, Michael Hegedus, Kamal Gupta +1

During a robot to human object handover task, several intended or unintended events may occur with the object - it may be pulled, pushed, bumped or simply held - by the human recei…