1 citations · 1 across the 4 of their papers we have counts for
4 papers
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
Negin Hashemi Dijujin, Seyed Roozbeh Razavi Rohani, Mohammad Mahdi Samiei +1
Sample efficiency and systematic generalization are two long-standing challenges in reinforcement learning. Previous studies have shown that involving natural language along with o…
ComAlign: Compositional Alignment in Vision-Language Models
Ali Abdollah, Amirmohammad Izadi, Armin Saghafian +5
Vision-language models (VLMs) like CLIP have showcased a remarkable ability to extract transferable features for downstream tasks. Nonetheless, the training process of these models…
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP
Reza Abbasi, Mohammad Samiei, Mohammad Hossein Rohban +1
Vision-language models, such as CLIP, have shown promising Out-of-Distribution (OoD) generalization under various types of distribution shifts. Recent studies attempted to investig…
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
Seyyed AmirHossein Ameli Kalkhoran, Mohammadamin Banayeeanzade, Mahdi Samiei +1
The existing continual learning methods are mainly focused on fully-supervised scenarios and are still not able to take advantage of unlabeled data available in the environment. So…