Tijmen Blankevoort
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs. | Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki M. Asano |
| 2025 | ICLR | SpinQuant: LLM Quantization with Learned Rotations. | Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort |
| 2024 | BMVC | InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. | Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian |
| 2024 | ICLR | VeRA: Vector-based Random Matrix Adaptation. | Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki M. Asano |
| 2024 | ICLR | The LLM Surgeon. | Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort |
| 2023 | BMVC | A Practical Mixed Precision Algorithm for Post-Training Quantization. | Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort |
| 2022 | BMVC | Revisiting single-gated Mixtures of Experts. | Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort |
| 2022 | CVPR | Simulated Quantization, Real Power Savings. | Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort |
| 2022 | CVPR | Simple and Efficient Architectures for Semantic Segmentation. | Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, Amirhossein Habibian, Tijmen Blankevoort |
| 2022 | CVPR | Cyclical Pruning for Sparse Neural Networks. | Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort |
| 2022 | ICML | Overcoming Oscillations in Quantization-Aware Training. | Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort |
| 2021 | EMNLP | Understanding and Overcoming the Challenges of Efficient Transformer Quantization. | Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort |
| 2021 | ICCV | Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces. | Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort |
| 2020 | CVPR | Conditional Channel Gated Networks for Task-Aware Continual Learning. | Davide Abati, Jakub M. Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi |
| 2020 | CVPR | LSQ+: Improving low-bit quantization through learnable offsets and better initialization. | Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak |
| 2020 | ECCV | Differentiable Joint Pruning and Quantization for Hardware Efficiency. | Ying Wang, Yadong Lu, Tijmen Blankevoort |
| 2020 | ICLR | Gradient $\ell_1$ Regularization for Quantization Robustness. | Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling |
| 2020 | ICLR | Batch-shaping for learning conditional channel gated networks. | Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling |
| 2020 | ICML | Up or Down? Adaptive Rounding for Post-Training Quantization. | Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort |
| 2019 | ICCV | Data-Free Quantization Through Weight Equalization and Bias Correction. | Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling |
| 2019 | ICLR | Relaxed Quantization for Discretized Neural Networks. | Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling |