Tijmen Blankevoort
19 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
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Conferences
ICLR (6)
NIPS (5)
EMNLP (2)
ICCV (2)
ICML (2)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
model compression
(7)
neural network quantization
(5)
quantization-aware training
(3)
model quantization
(3)
post-training quantization
(3)
neural network pruning
(2)
attention mechanism
(2)
neural network
(2)
weight quantization
(2)
neural architecture search
(1)
batch normalization
(1)
knowledge distillation
(1)
catastrophic forgetting
(1)
bidirectional attention
(1)
bias correction
(1)
knowledge transfer
(1)
instruction tuning
(1)
neural network optimization
(1)
efficient inference
(1)
conditional computation
(1)
Papers
Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs
EMNLP 2025
SpinQuant: LLM Quantization with Learned Rotations
ICLR 2025
VeRA: Vector-based Random Matrix Adaptation
ICLR 2024
The LLM Surgeon
ICLR 2024
Scalarization for Multi-Task and Multi-Domain Learning at Scale
NIPS 2023
Pruning vs Quantization: Which is Better?
NIPS 2023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
NIPS 2023
FP8 Quantization: The Power of the Exponent
NIPS 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
Bayesian Bits: Unifying Quantization and Pruning
NIPS 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
CVPR 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency
ECCV 2020
Gradient $\ell_1$ Regularization for Quantization Robustness
ICLR 2020
Batch-shaping for learning conditional channel gated networks
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