David Brooks
5 papers · 2018–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(3)
Machine Learning
(2)
Application Areas
(2)
Core AI
(2)
Computer Science
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Core Methods
(1)
Generation
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Privacy
(1)
Systems
(1)
Techniques
(1)
Keywords
privacy-preserving machine learning
(1)
model compression
(1)
federated learning
(1)
neural network compression
(1)
image classification
(1)
code generation
(1)
secure aggregation
(1)
data privacy
(1)
throughput optimization
(1)
weight encoding
(1)
kv cache
(1)
clip embedding
(1)
gpu utilization
(1)
batch scheduling
(1)
semantic equivalence
(1)
gradient inference attack
(1)
participant disaggregation
(1)
assembly code
(1)
llm serving
(1)
text-guided classification
(1)
Papers
Guess & Sketch: Language Model Guided Transpilation
ICLR 2024
S^3: Increasing GPU Utilization during Generative Inference for Higher Throughput
NeurIPS 2023
Hardware Resilience Properties of Text-Guided Image Classifiers
NeurIPS 2023
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
ICML 2021
Weightless: Lossy weight encoding for deep neural network compression
ICML 2018