David Brooks
5 papers · 2018–2024 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🏃 Academic Marathon (6)
🐝
Cross-Pollinator
(11)
🌈
Renaissance Researcher
(5)
Conferences
ICML (2)
NIPS (2)
ICLR (1)
Top co-authors
Research topics
Keywords
privacy-preserving machine learning
(1)
model compression
(1)
federated learning
(1)
neural network compression
(1)
image classification
(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)
gradient inference attack
(1)
participant disaggregation
(1)
llm serving
(1)
text-guided classification
(1)
hardware resilience
(1)
generative inference
(1)
bloomier filter
(1)
Papers
Guess & Sketch: Language Model Guided Transpilation
ICLR 2024
$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput
NIPS 2023
Hardware Resilience Properties of Text-Guided Image Classifiers
NIPS 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