4 citations · 8 across the 6 of their papers we have counts for
6 papers
Efficient Audio-Visual Speech Enhancement via Reinforcement Learning-Based Neural Architecture Search
Khubaib Ahmed, Ahsan Adeel, Nasir Saleem +3
Audio-visual speech enhancement (AVSE) improves speech intelligibility in noisy environments but often relies on computationally expensive models unsuitable for resource-constraine…
Shift-Accumulate Attention: Multiplier-Free Query--Key Products for Transformer Decoding
Khubaib Ahmed, Amna Noor, Ahsan Ul haq
Power-of-two (PoT) quantisation turns a multiplication into a bit shift, so far only for the post-softmax attention--value product. The earlier and larger product, S=QK^T, has not…
Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
Junaid Muzaffar, Khubaib Ahmed, Ingo Frommholz +2
Training reinforcement learning (RL) agents often requires significant computational resources and prolonged training durations. To address this challenge, we build upon prior work…
Cooperation Is All You Need
Ahsan Adeel, Junaid Muzaffar, Fahad Zia +5
Going beyond 'dendritic democracy', we introduce a 'democracy of local processors', termed Cooperator. Here we compare their capabilities when used in permutation invariant neural…
Unlocking the potential of two-point cells for energy-efficient and resilient training of deep nets
Ahsan Adeel, Adewale Adetomi, Khubaib Ahmed +3
Context-sensitive two-point layer 5 pyramidal cells (L5PCs) were discovered as long ago as 1999. However, the potential of this discovery to provide useful neural computation has y…
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing
Khubaib Ahmed, Ahsan Adeel, Mario Franco +1
Deep learning (DL) has big-data processing capabilities that are as good, or even better, than those of humans in many real-world domains, but at the cost of high energy requiremen…