Robert Mullins
9 papers · 2019–2024 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (30) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
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The Questioner
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Keyword Collector
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Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(8)
Architectures
(6)
Artificial Intelligence
(5)
Application Areas · Machine Learning
(5)
Optimization & Theory · Machine Learning
(4)
Optimization & Theory · Deep Learning
(4)
Core AI
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Learning Paradigms · Artificial Intelligence
(2)
Techniques
(2)
Natural Language Processing
(1)
Application Areas · Deep Learning
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
model compression
(3)
neural network
(2)
adversarial attack
(2)
few-shot learning
(2)
neural network security
(2)
large language model
(2)
model quantization
(2)
efficient training
(1)
adversarial learning
(1)
federated learning
(1)
prompt engineering
(1)
model architecture
(1)
neural architecture search
(1)
efficient inference
(1)
adversarial machine learning
(1)
neural network regularization
(1)
model robustness
(1)
dropout regularization
(1)
communication efficiency
(1)
parameter optimization
(1)
Papers
Beyond Slow Signs in High-fidelity Model Extraction
NeurIPS 2024
Architectural Backdoors in Neural Networks
CVPR 2023
Dynamic Stashing Quantization for Efficient Transformer Training
EMNLP 2023
Revisiting Automated Prompting: Are We Actually Doing Better?
ACL 2023
Revisiting Structured Dropout
ACML 2023
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
ICML 2022
Rapid Model Architecture Adaption for Meta-Learning
NeurIPS 2022
Dynamic Channel Pruning: Feature Boosting and Suppression
ICLR 2019
Focused Quantization for Sparse CNNs
NeurIPS 2019