Robert Mullins
9 papers · 2019–2024 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
๐ฃ Hot Topic Early Bird ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (7) ๐ Academic Marathon (5)
๐
Cross-Pollinator
(13)
๐บ๏ธ
Taxonomy Completionist
(28)
โ
The Questioner
Conferences
NIPS (3)
ACL (1)
ACML (1)
CVPR (1)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
model quantization
(2)
adversarial attack
(2)
model compression
(2)
few-shot learning
(2)
neural network security
(2)
large language model
(2)
neural network
(2)
efficient inference
(1)
model architecture
(1)
efficient training
(1)
prompt engineering
(1)
neural architecture search
(1)
adversarial machine learning
(1)
model adaptation
(1)
adversarial learning
(1)
backdoor attack
(1)
neural network regularization
(1)
communication efficiency
(1)
parameter optimization
(1)
model robustness
(1)
Papers
Beyond Slow Signs in High-fidelity Model Extraction
NIPS 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
NIPS 2022
Dynamic Channel Pruning: Feature Boosting and Suppression
ICLR 2019
Focused Quantization for Sparse CNNs
NIPS 2019