Mohamed S Abdelfattah

7 papers · 2021–2024 · 3 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 📈 Trend Setter

Venues

ICML (3) AutoML (2) ICLR (2)

Top co-authors

Łukasz Dudziak (3) Abhinav Mehrotra (3) Nicholas Donald Lane (3) Sheng Li (2) Jordan Dotzel (2) Yash Akhauri (2) Zhiru Zhang (2) Gang Wu (2) Liqun Cheng (1) Thomas Chau (1)

Research topics

Deep Learning (6) Machine Learning (5) Artificial Intelligence (4) Application Areas (4) Architectures (4) Core AI (2) Learning Paradigms (2) Models (2) Speech & Audio (1) Learning Types (1) Optimization & Theory (1) Recognition (1) Techniques (1)

Keywords

neural architecture search (3) generative modeling (1) few-shot learning (1) automatic speech recognition (1) hierarchical generative model (1) bilevel optimization (1) benchmark dataset (1) pareto optimal (1) mixed precision (1) word error rate (1) neural network (1) graph similarity (1) zero-cost proxy (1) zero-cost proxies (1) latency prediction (1) floating point (1) model score (1) pruning literature (1) conditional continuous normalizing flow (1) transformer-based sequence generator (1)

Papers

Encodings for Prediction-based Neural Architecture Search ICML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search AutoML 2024 Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs ICML 2024 Towards Neural Architecture Search through Hierarchical Generative Modeling ICML 2024 Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search AutoML 2023 NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition ICLR 2021 Zero-Cost Proxies for Lightweight NAS ICLR 2021