Neil Houlsby
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
9
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | Frozen Feature Augmentation for Few-Shot Image Classification. | Andreas Br, Neil Houlsby, Mostafa Dehghani, Manoj Kumar |
| 2024 | CVPR | On Scaling Up a Multilingual Vision and Language Model. | Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut |
| 2024 | ICLR | Scaling Laws for Sparsely-Connected Foundation Models. | Elias Frantar, Carlos Riquelme Ruiz, Neil Houlsby, Dan Alistarh, Utku Evci |
| 2024 | ICLR | From Sparse to Soft Mixtures of Experts. | Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Neil Houlsby |
| 2024 | WACV | Location-Aware Self-Supervised Transformers for Semantic Segmentation. | Mathilde Caron, Neil Houlsby, Cordelia Schmid |
| 2023 | CVPR | CLIPPO: Image-and-Language Understanding from Pixels Only. | Michael Tschannen, Basil Mustafa, Neil Houlsby |
| 2023 | EMNLP | Transcending Scaling Laws with 0.1% Extra Compute. | Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani |
| 2023 | ICLR | Massively Scaling Heteroscedastic Classifiers. | Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou |
| 2023 | ICLR | Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. | Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby |
| 2023 | ICLR | UL2: Unifying Language Learning Paradigms. | Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler |
| 2023 | ICML | Scaling Vision Transformers to 22 Billion Parameters. | Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby |
| 2023 | ICML | Adaptive Computation with Elastic Input Sequence. | Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You |
| 2022 | CVPR | Scaling Vision Transformers. | Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, Lucas Beyer |
| 2022 | ECCV | Simple Open-Vocabulary Object Detection. | Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby |
| 2021 | CVPR | On Robustness and Transferability of Convolutional Neural Networks. | Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic |
| 2021 | ICLR | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. | Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby |
| 2021 | ICLR | Scalable Transfer Learning with Expert Models. | Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Cdric Renggli, Andr Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby |
| 2021 | WACV | Representation learning from videos in-the-wild: An object-centric approach. | Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic |
| 2020 | CVPR | Self-Supervised Learning of Video-Induced Visual Invariances. | Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic |
| 2020 | ECCV | Big Transfer (BiT): General Visual Representation Learning. | Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby |
| 2020 | ICML | Automatic Shortcut Removal for Self-Supervised Representation Learning. | Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen |
| 2020 | IGARSS | Training General Representations for Remote Sensing Using in-Domain Knowledge. | Maxim Neumann, Andr Susano Pinto, Xiaohua Zhai, Neil Houlsby |
| 2019 | CVPR | Self-Supervised GANs via Auxiliary Rotation Loss. | Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby |
| 2019 | ICLR | On Self Modulation for Generative Adversarial Networks. | Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly |
| 2019 | ICML | Parameter-Efficient Transfer Learning for NLP. | Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly |
| 2018 | ICLR | Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. | Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang |
| 2014 | ECIR | A Scalable Gibbs Sampler for Probabilistic Entity Linking. | Neil Houlsby, Massimiliano Ciaramita |
| 2014 | ICML | Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices. | Jos Miguel Hernndez-Lobato, Neil Houlsby, Zoubin Ghahramani |
| 2014 | ICML | Probabilistic Matrix Factorization with Non-random Missing Data. | Jos Miguel Hernndez-Lobato, Neil Houlsby, Zoubin Ghahramani |
| 2014 | ICML | Cold-start Active Learning with Robust Ordinal Matrix Factorization. | Neil Houlsby, Jos Miguel Hernndez-Lobato, Zoubin Ghahramani |
| 2013 | AISTATS | Active Learning for Interactive Visualization. | Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani |