Jordan Dotzel
5 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(10)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Application Areas
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI · Artificial Intelligence
(3)
Computer Vision
(1)
Core AI · Computer Vision
(1)
Models
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
model compression
(2)
quantization
(1)
neural network pruning
(1)
model architecture
(1)
energy efficiency
(1)
convolutional neural network
(1)
deep neural network
(1)
parameter efficiency
(1)
contextual sparsity
(1)
pareto optimal
(1)
mixed precision
(1)
outlier channel splitting
(1)
execution latency
(1)
hadamard transform
(1)
large language model
(1)
efficiency optimization
(1)
floating point
(1)
sparse pruning
(1)
channel shuffling
(1)
activation prediction
(1)
Papers
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
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
EMNLP 2024
Building Efficient Deep Neural Networks With Unitary Group Convolutions
CVPR 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
ICML 2019