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Tom Gunter
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2020 – today
- 2024
- [c7]Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang:
MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. ECCV (29) 2024: 304-323 - [i8]Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang:
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR abs/2403.09611 (2024) - [i7]Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang:
Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training. CoRR abs/2405.15052 (2024) - [i6]Xiang Kong, Tom Gunter, Ruoming Pang:
Large Language Model-guided Document Selection. CoRR abs/2406.04638 (2024) - [i5]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - 2023
- [c6]Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter:
Masked Autoencoding Does Not Help Natural Language Supervision at Scale. CVPR 2023: 23432-23444 - [c5]Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang:
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. EMNLP 2023: 15079-15094 - [i4]Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter:
Self Supervision Does Not Help Natural Language Supervision at Scale. CoRR abs/2301.07836 (2023) - [i3]Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang:
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. CoRR abs/2301.13081 (2023) - [i2]Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du:
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts. CoRR abs/2309.04354 (2023)
2010 – 2019
- 2017
- [b1]Tom Gunter:
Towards efficient Bayesian inference: Cox processes and probabilistic integration. University of Oxford, UK, 2017 - [i1]Samuel Albanie, Hillary Shakespeare, Tom Gunter:
Unknowable Manipulators: Social Network Curator Algorithms. CoRR abs/1701.04895 (2017) - 2016
- [c4]Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts, Tom Nickson:
Latent Point Process Allocation. AISTATS 2016: 389-397 - 2015
- [c3]Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts:
Variational Inference for Gaussian Process Modulated Poisson Processes. ICML 2015: 1814-1822 - 2014
- [c2]Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig, Stephen J. Roberts:
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature. NIPS 2014: 2789-2797 - [c1]Tom Gunter, Chris M. Lloyd, Michael A. Osborne, Stephen J. Roberts:
Efficient Bayesian Nonparametric Modelling of Structured Point Processes. UAI 2014: 310-319
1980 – 1989
- 1982
- [e1]Stephen A. Szygenda, John Hughes, Matt Blanton, Terry J. Wagner, Dennis J. Frailey, Tom Gunter, Chuck McLeavy, G. Jack Lipovski, Miroslaw Malek:
9th International Symposium on Computer Architecture (ISCA 1982), Austin, TX, USA, April 26-29, 1982. IEEE Computer Society 1982 [contents]
1970 – 1979
- 1979
- [j1]Edward Stritter, Tom Gunter:
Microprocessor Architecture for a Changing World: The Motorola 68000. Computer 12(2): 43-52 (1979)
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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