Jordan Dotzel
5 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4)
🏃
Academic Marathon
(5)
📈
Trend Setter
Conferences
ICML (2)
AUTOML (1)
CVPR (1)
EMNLP (1)
Top co-authors
Keywords
model compression
(2)
neural network pruning
(1)
model architecture
(1)
energy efficiency
(1)
convolutional neural network
(1)
deep neural network
(1)
parameter efficiency
(1)
contextual sparsity
(1)
outlier channel splitting
(1)
execution latency
(1)
hadamard transform
(1)
large language model
(1)
efficiency optimization
(1)
sparse pruning
(1)
channel shuffling
(1)
activation prediction
(1)
unitary group convolution
(1)
neural network quantization
(1)
unitary transform
(1)
Papers
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
AUTOML 2024
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
EMNLP 2024
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
ICML 2024
Building Efficient Deep Neural Networks With Unitary Group Convolutions
CVPR 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
ICML 2019