Mohamed S. Abdelfattah
6 papers · 2019–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Artificial Intelligence
(5)
Deep Learning
(5)
Machine Learning
(5)
Core AI
(4)
Application Areas
(3)
Optimization & Theory · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Speech & Audio
(1)
Architectures
(1)
Learning Paradigms
(1)
Methods · Reinforcement Learning
(1)
Methods · Data Science & Analytics
(1)
Recognition
(1)
Keywords
model compression
(4)
automatic speech recognition
(2)
neural network pruning
(1)
reinforcement learning
(1)
matrix factorization
(1)
neural architecture search
(1)
neural network optimization
(1)
singular value decomposition
(1)
state space model
(1)
inference efficiency
(1)
contextual sparsity
(1)
kv cache
(1)
gpu acceleration
(1)
search space
(1)
low-rank factorization
(1)
automated machine learning
(1)
differentiable architecture search
(1)
end-to-end model
(1)
word error rate
(1)
end-to-end speech recognition
(1)
Papers
Palu: KV-Cache Compression with Low-Rank Projection
ICLR 2025
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
ICML 2025
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
EMNLP 2024
Zero-Cost Operation Scoring in Differentiable Architecture Search
AAAI 2023
Iterative Compression of End-to-End ASR Model Using AutoML
Interspeech 2020
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
Interspeech 2019