7 citations · 9 across the 12 of their papers we have counts for
12 papers
Embodied Referring Expression Comprehension in Human-Robot Interaction
Md Mofijul Islam, Alexi Gladstone, Sujan Sarker +5
As robots enter human workspaces, there is a crucial need for them to comprehend embodied human instructions, enabling intuitive and fluent human-robot interaction (HRI). However,…
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…
FuseCodec: Semantic-Contextual Fusion and Supervision for Neural Codecs
Md Mubtasim Ahasan, Rafat Hasan Khan, Tasnim Mohiuddin +6
Speech tokenization enables discrete representation and facilitates speech language modeling. However, existing neural codecs capture low-level acoustic features, overlooking the s…
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…
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
Arijit Ghosh Chowdhury, Md Mofijul Islam, Vaibhav Kumar +3
Large Language Models (LLMs) have become a cornerstone in the field of Natural Language Processing (NLP), offering transformative capabilities in understanding and generating human…
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 Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning
Md Mofijul Islam, Gustavo Aguilar, Pragaash Ponnusamy +3
Subword tokenization is a commonly used input pre-processing step in most recent NLP models. However, it limits the models' ability to leverage end-to-end task learning. Its freque…
HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm
Md Mofijul Islam, Tariq Iqbal
To fluently collaborate with people, robots need the ability to recognize human activities accurately. Although modern robots are equipped with various sensors, robust human activi…
Two Phase Authentication and VPN Based Secured Communication for IoT Home Networks
Md Masuduzzaman, Ashik Mahmud, Anik Islam +1
With the advancement of technology, devices, which are considered non-traditional in terms of internet capabilities, are now being embedded in microprocessors to communicate and th…
NEWSTRADCOIN: A Blockchain Based Privacy Preserving Secure NEWS Trading Network
Anik Islam, Md. Fazlul Kader, Md Mofijul Islam] +1
In order to stay up to date with world issues and cutting-edge technol-ogies, the newspaper plays a crucial role. However, collecting news is not a very easy task. Currently, news…
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…