Mostafa Dehghani

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 124

Top Venues

Publications

Andreas Bär, Neil Houlsby, Mostafa Dehghani, Manoj Kumar
Frozen Feature Augmentation for Few-Shot Image Classification. CoRR (2024)
Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
Fractal Patterns May Unravel the Intelligence in Next-Token Prediction. CoRR (2024)
Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani
The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. SIGIR (2024)
David Rau, Mostafa Dehghani, Jaap Kamps
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers. ACM Trans. Inf. Syst. 42 (5) (2024)
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
Adaptive Computation with Elastic Input Sequence. CoRR (2023)
Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
Efficient Transformers: A Survey. ACM Comput. Surv. 55 (6) (2023)
Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata
Parameter-Efficient Multilingual Summarisation: An Empirical Study. CoRR (2023)
Manoj Kumar, Mostafa Dehghani, Neil Houlsby
Dual PatchNorm. Trans. Mach. Learn. Res. 2023 (2023)
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
Adaptive Computation with Elastic Input Sequence. ICML (2023)
Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M. Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. NeurIPS (2023)
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 Le, Mostafa Dehghani
Transcending Scaling Laws with 0.1% Extra Compute. EMNLP (2023)
Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. EMNLP (2023)
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
UL2: Unifying Language Learning Paradigms. ICLR (2023)
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
Scaling Vision Transformers to 22 Billion Parameters. CoRR (2023)
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) (2023)
Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. ICLR (2023)
Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani
Group Membership Bias. CoRR (2023)
Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink
How (not) to ensemble LVLMs for VQA. ICBINB (2023)
Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink
How (not) to ensemble LVLMs for VQA. CoRR (2023)
Valerii Likhosherstov, Anurag Arnab, Krzysztof Marcin Choromanski, Mario Lucic, Yi Tay, Mostafa Dehghani
PolyViT: Co-training Vision Transformers on Images, Videos and Audio. Trans. Mach. Learn. Res. 2023 (2023)
Mani Shemiranifar, Mostafa Dehghani
L2 Norm Guided Adaptive Computation. Tiny Papers @ ICLR (2023)
Manoj Kumar, Mostafa Dehghani, Neil Houlsby
Dual PatchNorm. CoRR (2023)
Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab
End-to-End Spatio-Temporal Action Localisation with Video Transformers. CoRR (2023)
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
Scaling Vision Transformers to 22 Billion Parameters. ICML (2023)
Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. CoRR (2023)
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
PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR (2023)
Sajad Movahedi, Melika Adabinejad, Ayyoob Imani, Arezou Keshavarz, Mostafa Dehghani, Azadeh Shakery, Babak Nadjar Araabi
$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells. ICLR (2023)
Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.
PaLM 2 Technical Report. CoRR (2023)
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR (2022)
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
Simple Open-Vocabulary Object Detection with Vision Transformers. CoRR (2022)
Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. CoRR (2022)
Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
Transformer Memory as a Differentiable Search Index. CoRR (2022)
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei
Scaling Instruction-Finetuned Language Models. CoRR (2022)
Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, Donald Metzler
Unifying Language Learning Paradigms. CoRR (2022)
Sajad Movahedi, Melika Adabinejad, Ayyoob Imani, Arezou Keshavarz, Mostafa Dehghani, Azadeh Shakery, Babak Nadjar Araabi
Λ-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells. CoRR (2022)
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
Simple Open-Vocabulary Object Detection. ECCV (10) (2022)
Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi
Exploring the Limits of Large Scale Pre-training. ICLR (2022)
Mostafa Dehghani, Yi Tay, Anurag Arnab, Lucas Beyer, Ashish Vaswani
The Efficiency Misnomer. ICLR (2022)
Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
Discrete Representations Strengthen Vision Transformer Robustness. ICLR (2022)
Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
Transformer Memory as a Differentiable Search Index. NeurIPS (2022)
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
Retrieval-Enhanced Machine Learning. CoRR (2022)
Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani
Intersection of Parallels as an Early Stopping Criterion. CoRR (2022)
Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler
Confident Adaptive Language Modeling. NeurIPS (2022)
Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani
Intersection of Parallels as an Early Stopping Criterion. CIKM (2022)
Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. CoRR (2022)
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
Transcending Scaling Laws with 0.1% Extra Compute. CoRR (2022)
Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay
SCENIC: A JAX Library for Computer Vision Research and Beyond. CVPR (2022)
Zahra Shamsi, Drew Bryant, Jacob Wilson, Xiaoyu Qu, Avinava Dubey, Konik Kothari, Mostafa Dehghani, Mariya Chavarha, Valerii Likhosherstov, Brian Williams, Michael Frumkin, Fred Appelbaum, Krzysztof Choromanski, Ali Bashir, Min Fang
Automated Deep Aberration Detection from Chromosome Karyotype Images. CoRR (2022)
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
Retrieval-Enhanced Machine Learning. SIGIR (2022)
Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler
Confident Adaptive Language Modeling. CoRR (2022)
Anurag Arnab, Xuehan Xiong, Alexey A. Gritsenko, Rob Romijnders, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid
Beyond Transfer Learning: Co-finetuning for Action Localisation. CoRR (2022)
Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
Scale Efficiently: Insights from Pretraining and Finetuning Transformers. ICLR (2022)
Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
Discrete Representations Strengthen Vision Transformer Robustness. CoRR (2021)
Valerii Likhosherstov, Anurag Arnab, Krzysztof Choromanski, Mario Lucic, Yi Tay, Adrian Weller, Mostafa Dehghani
PolyViT: Co-training Vision Transformers on Images, Videos and Audio. CoRR (2021)
Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? CoRR (2021)
Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
TokenLearner: Adaptive Space-Time Tokenization for Videos. NeurIPS (2021)
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals
The Benchmark Lottery. CoRR (2021)
Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler
Are Pretrained Convolutions Better than Pretrained Transformers? ACL/IJCNLP (1) (2021)
Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. ICLR (2021)
Mostafa Dehghani, Anurag Arnab, Lucas Beyer, Ashish Vaswani, Yi Tay
The Efficiency Misnomer. CoRR (2021)
Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. CoRR (2021)
Hosein Azarbonyad, Mostafa Dehghani, Maarten Marx, Jaap Kamps
Learning to rank for multi-label text classification: Combining different sources of information. Nat. Lang. Eng. 27 (1) (2021)
Yang Li, Gang Li, Xin Zhou, Mostafa Dehghani, Alexey A. Gritsenko
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling. CoRR (2021)
Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler
Are Pre-trained Convolutions Better than Pre-trained Transformers? CoRR (2021)
Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi
Exploring the Limits of Large Scale Pre-training. CoRR (2021)
Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay
SCENIC: A JAX Library for Computer Vision Research and Beyond. CoRR (2021)
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
OmniNet: Omnidirectional Representations from Transformers. CoRR (2021)
Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. ACL/IJCNLP (1) (2021)
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Long Range Arena : A Benchmark for Efficient Transformers. ICLR (2021)
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid
ViViT: A Video Vision Transformer. CoRR (2021)
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid
ViViT: A Video Vision Transformer. ICCV (2021)
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. ICLR (2021)
Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi
Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent. CoRR (2021)
Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. CoRR (2021)
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
OmniNet: Omnidirectional Representations from Transformers. ICML (2021)
Samira Abnar, Mostafa Dehghani, Willem H. Zuidema
Transferring Inductive Biases through Knowledge Distillation. CoRR (2020)
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Long Range Arena: A Benchmark for Efficient Transformers. CoRR (2020)
Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. CoRR (2020)
Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
Efficient Transformers: A Survey. CoRR (2020)
Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner
MetNet: A Neural Weather Model for Precipitation Forecasting. CoRR (2020)
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. CoRR (2020)
Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke
Learning to Transform, Combine, and Reason in Open-Domain Question Answering. WSDM (2019)
Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke
HiTR: Hierarchical Topic Model Re-Estimation for Measuring Topical Diversity of Documents. IEEE Trans. Knowl. Data Eng. 31 (11) (2019)
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser
Universal Transformers. ICLR (Poster) (2019)
Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke
Learning to Transform, Combine, and Reason in Open-Domain Question Answering. BNAIC/BENELEARN (2019)
Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra
Neural Networks for Information Retrieval. WSDM (2018)
Nafiseh Torkzadeh Mahani, Mostafa Dehghani, Maryam S. Mirian, Azadeh Shakery, Khalil Taheri
Expert finding by the Dempster-Shafer theory for evidence combination. Expert Syst. J. Knowl. Eng. 35 (1) (2018)
Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. CIKM (2018)
Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra
Neural Networks for Information Retrieval. CoRR (2018)
Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. SIGIR (2018)
Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf
Fidelity-Weighted Learning. ICLR (Poster) (2018)
Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents. CoRR (2018)
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser
Universal Transformers. CoRR (2018)
Mostafa Dehghani, Jaap Kamps
Learning to Rank from Samples of Variable Quality. CoRR (2018)
Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf
Fidelity-Weighted Learning. CoRR (2017)
Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe, Jaap Kamps
Learning to Learn from Weak Supervision by Full Supervision. CoRR (2017)
Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. CoRR (2017)
Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking. CoRR (2017)
Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra
Neural Networks for Information Retrieval. CoRR (2017)
Mostafa Dehghani, Sascha Rothe, Enrique Alfonseca, Pascal Fleury
Learning to Attend, Copy, and Generate for Session-Based Query Suggestion. CoRR (2017)

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Mostafa Dehghani