7 citations · 9 across the 12 of their papers we have counts for
5 papers · 1 filter
SloMo-Fast: Slow-Momentum and Fast-Adaptive Teachers for Source-Free Continual Test-Time Adaptation
Md Akil Raihan Iftee, Mir Sazzat Hossain, Rakibul Hasan Rajib +5
Continual Test-Time Adaptation (CTTA) is crucial for deploying models in real-world applications with unseen, evolving target domains. Existing CTTA methods, however, often rely on…
Energy-Based Transformers are Scalable Learners and Thinkers
Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam +7
Inference-time computation techniques, analogous to human System 2 Thinking, have recently become popular for improving model performances. However, most existing approaches suffer…
Cognitively Inspired Energy-Based World Models
Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam +3
One of the predominant methods for training world models is autoregressive prediction in the output space of the next element of a sequence. In Natural Language Processing (NLP), t…
Representation Learning in Deep RL via Discrete Information Bottleneck
Riashat Islam, Hongyu Zang, Manan Tomar +8
Several self-supervised representation learning methods have been proposed for reinforcement learning (RL) with rich observations. For real-world applications of RL, recovering und…
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model
Md Mofijul Islam, Amar Debnath, Tahsin Al Sayeed +6
Deep Learning algorithms are often used as black box type learning and they are too complex to understand. The widespread usability of Deep Learning algorithms to solve various mac…