Markus Nagel
13 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18)
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Topic Evolution
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Keyword Collector
(56)
💎
Century Club · Bronze
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Unstoppable · Bronze
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The Questioner
(2)
Top co-authors
Research topics
Machine Learning
(12)
Application Areas
(11)
Deep Learning
(10)
Artificial Intelligence
(8)
Core AI · Artificial Intelligence
(8)
Optimization & Theory · Deep Learning
(7)
Techniques
(7)
Optimization & Theory · Machine Learning
(6)
Computer Vision
(2)
Architectures
(2)
Learning Paradigms
(2)
Bayesian & Probabilistic
(1)
Core AI · Computer Vision
(1)
Processing
(1)
Keywords
model compression
(8)
model quantization
(5)
neural network quantization
(5)
quantization-aware training
(3)
post-training quantization
(3)
parameter efficient
(2)
neural network pruning
(2)
neural network
(2)
knowledge distillation
(2)
weight quantization
(2)
efficient computing
(1)
neural network optimization
(1)
efficient inference
(1)
bayesian inference
(1)
human pose estimation
(1)
language model
(1)
batch normalization
(1)
deep neural network
(1)
outlier removal
(1)
bias correction
(1)
Papers
MobileNVC: Real-Time 1080p Neural Video Compression on a Mobile Device
WACV 2024
Sparse High Rank Adapters
NeurIPS 2024
The LLM Surgeon
ICLR 2024
Pruning vs Quantization: Which is Better?
NeurIPS 2023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
NeurIPS 2023
ResQ: Residual Quantization for Video Perception
ICCV 2023
FP8 Quantization: The Power of the Exponent
NeurIPS 2022
Overcoming Oscillations in Quantization-Aware Training
ICML 2022
Quadapter: Adapter for GPT-2 Quantization
EMNLP 2022
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
EMNLP 2021
Bayesian Bits: Unifying Quantization and Pruning
NeurIPS 2020
Up or Down? Adaptive Rounding for Post-Training Quantization
ICML 2020
Data-Free Quantization Through Weight Equalization and Bias Correction
ICCV 2019