Tijmen Blankevoort
19 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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(11)
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Research topics
Machine Learning
(17)
Application Areas
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Deep Learning
(13)
Artificial Intelligence
(11)
Core AI Β· Artificial Intelligence
(10)
Techniques
(10)
Optimization & Theory Β· Machine Learning
(7)
Optimization & Theory Β· Deep Learning
(6)
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(2)
Computer Vision
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Natural Language Processing
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Bayesian & Probabilistic
(1)
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(1)
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(1)
Keywords
model compression
(10)
neural network quantization
(6)
post-training quantization
(5)
large language model
(3)
model quantization
(3)
quantization-aware training
(3)
weight quantization
(3)
neural network
(3)
neural network pruning
(2)
attention mechanism
(2)
conditional computation
(2)
knowledge transfer
(1)
model robustness
(1)
knowledge distillation
(1)
continual learning
(1)
matrix factorization
(1)
efficient inference
(1)
bayesian inference
(1)
bidirectional attention
(1)
neural architecture search
(1)
Papers
Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs
EMNLP 2025
SpinQuant: LLM Quantization with Learned Rotations
ICLR 2025
The LLM Surgeon
ICLR 2024
VeRA: Vector-based Random Matrix Adaptation
ICLR 2024
Pruning vs Quantization: Which is Better?
NeurIPS 2023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
NeurIPS 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale
NeurIPS 2023
FP8 Quantization: The Power of the Exponent
NeurIPS 2022
Overcoming Oscillations in Quantization-Aware Training
ICML 2022
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
ICCV 2021
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
EMNLP 2021
Batch-shaping for learning conditional channel gated networks
ICLR 2020
Bayesian Bits: Unifying Quantization and Pruning
NeurIPS 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
CVPR 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency
ECCV 2020
Gradient β_1 Regularization for Quantization Robustness
ICLR 2020
Up or Down? Adaptive Rounding for Post-Training Quantization
ICML 2020
Data-Free Quantization Through Weight Equalization and Bias Correction
ICCV 2019
Relaxed Quantization for Discretized Neural Networks
ICLR 2019