Tom Gunter - RankMe

24 papers A* 4A 2Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization. CoRR Chong Wang, Nan Du, Tom Gunter, Tao Lei, Kulin Seth, Senyu Tong, Jianyu Wang, Guoli Yin, Xiyou Zhou, Kelvin Zou, Ruoming Pang
2025	J	`jnl`	AXLearn: Modular Large Model Training on Heterogeneous Infrastructure. CoRR Mark Lee, Tom Gunter, Chang Lan, John Peebles, Hanzhi Zhou, Kelvin Zou, Sneha Bangalore, Chung-Cheng Chiu, Nan Du, Xianzhi Du, Philipp Dufter, Ruixuan Hou, Haoshuo Huang, Dongseong Hwang, Xiang Kong, Jinhao Lei, Tao Lei, Meng Li, Li Li, Jiarui Lu, Zhiyun Lu, Yiping Ma, David Qiu, Vivek Rathod, Senyu Tong, Zhucheng Tu, Jianyu Wang, Yongqiang Wang, Zirui Wang, Floris Weers, Sam Wiseman, Guoli Yin, Bowen Zhang, Xiyou Zhou, Danyang Zhuo, Cheng Leong, Ruoming Pang
2025	—	`conf`	Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? ACL (1) Arduin Findeis, Floris Weers, Guoli Yin, Ke Ye, Ruoming Pang, Tom Gunter
2025	J	`jnl`	Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? CoRR Arduin Findeis, Floris Weers, Guoli Yin, Ke Ye, Ruoming Pang, Tom Gunter
2025	J	`jnl`	Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality. CoRR Alex Fang, Hadi Pouransari, Matt Jordan, Alexander Toshev, Vaishaal Shankar, Ludwig Schmidt, Tom Gunter
2025	J	`jnl`	Language Models Improve When Pretraining Data Matches Target Tasks. CoRR David Mizrahi, Anders Boesen Lindbo Larsen, Jesse Allardice, Suzie Petryk, Yuri Gorokhov, Jeffrey Li, Alex Fang, Josh Gardner, Tom Gunter, Afshin Dehghan
2025	J	`jnl`	Reusing Pre-Training Data at Test Time is a Compute Multiplier. CoRR Alex Fang, Thomas Voice, Ruoming Pang, Ludwig Schmidt, Tom Gunter
2024	J	`jnl`	Large Language Model-guided Document Selection. CoRR Xiang Kong, Tom Gunter, Ruoming Pang
2024	J	`jnl`	MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR 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
2024	—	`conf`	MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. ECCV (29) 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
2024	J	`jnl`	Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training. CoRR Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang
2023	A*	`conf`	Masked Autoencoding Does Not Help Natural Language Supervision at Scale. CVPR Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter
2023	J	`jnl`	Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts. CoRR Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du
2023	A*	`conf`	STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. EMNLP Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang
2023	J	`jnl`	STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. CoRR Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang
2023	J	`jnl`	Self Supervision Does Not Help Natural Language Supervision at Scale. CoRR Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter
2017	—	`—`	Towards efficient Bayesian inference: Cox processes and probabilistic integration. Tom Gunter
2017	J	`jnl`	Unknowable Manipulators: Social Network Curator Algorithms. CoRR Samuel Albanie, Hillary Shakespeare, Tom Gunter
2016	A	`conf`	Latent Point Process Allocation. AISTATS Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts, Tom Nickson
2015	A*	`conf`	Variational Inference for Gaussian Process Modulated Poisson Processes. ICML Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts
2014	A	`conf`	Efficient Bayesian Nonparametric Modelling of Structured Point Processes. UAI Tom Gunter, Chris M. Lloyd, Michael A. Osborne, Stephen J. Roberts
2014	—	`conf`	Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature. NIPS Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig, Stephen J. Roberts
1982	A*	`ed.`	9th International Symposium on Computer Architecture (ISCA 1982), Austin, TX, USA, April 26-29, 1982 ISCA Stephen A. Szygenda, John Hughes, Matt Blanton, Terry J. Wagner, Dennis J. Frailey, Tom Gunter, Chuck McLeavy, G. Jack Lipovski, Miroslaw Malek
1979	J	`jnl`	Microprocessor Architecture for a Changing World: The Motorola 68000. Computer Edward Stritter, Tom Gunter