Spencer A. Thomas

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All published works

Action	Title	Year	Authors
+ PDF Chat	Relative Sensitivities and Correlation of Factors Introducing Uncertainty in Radiotherapy Dosimetry Audits	2024	Padmini Krishnadas Spencer A. Thomas Jessica Goldring Nadia Smith Mohammad Hussein
+ PDF Chat	Cluster Metric Sensitivity to Irrelevant Features	2024	Miles McCrory Spencer A. Thomas
+ PDF Chat	A Generic Self-Supervised Framework of Learning Invariant Discriminative Features	2023	Foivos Ntelemis Yaochu Jin Spencer A. Thomas
+	Large Language Models to Identify Social Determinants of Health in Electronic Health Records	2023	Marco Guevara Shan Chen Spencer A. Thomas Tafadzwa L. Chaunzwa Idalid Franco Benjamin H. Kann Shalini Moningi Jack M. Qian Madeleine Goldstein Susan Harper
+ PDF Chat	Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers	2022	Spencer A. Thomas
+ PDF Chat	Information maximization clustering via multi-view self-labelling	2022	Foivos Ntelemis Yaochu Jin Spencer A. Thomas
+	A Generic Self-Supervised Framework of Learning Invariant Discriminative Features	2022	Foivos Ntelemis Yaochu Jin Spencer A. Thomas
+	Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers	2022	Spencer A. Thomas
+	Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion	2021	Spencer A. Thomas
+ PDF Chat	Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion	2021	Spencer A. Thomas
+ PDF Chat	Combining Image Features and Patient Metadata to Enhance Transfer Learning	2021	Spencer A. Thomas
+ PDF Chat	Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization	2021	Foivos Ntelemis Yaochu Jin Spencer A. Thomas
+	Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion	2021	Spencer A. Thomas
+	Place of Occurrence of COVID-19 Deaths in the UK: Modelling and Analysis	2021	Spencer A. Thomas
+	Place of Occurrence of COVID-19 Deaths in the UK: Analysis and Modelling	2020	Spencer A. Thomas
+ PDF Chat	Study of the hindrance effect in sub-barrier fusion reactions	2010	M. Notani P. Davies B. Bucher Xiao Fang L. O. Lamm Chi Ma E. Martin Wanpeng Tan Xiaodong Tang Spencer A. Thomas

Common Coauthors

Coauthor	Papers Together
Foivos Ntelemis	4
Yaochu Jin	4
M. Notani	1
Jack M. Qian	1
Xiaodong Tang	1
Mohammad Hussein	1
Xiao Fang	1
E. Martin	1
Danielle S. Bitterman	1
Idalid Franco	1
Tafadzwa L. Chaunzwa	1
Marco Guevara	1
C. L. Jiang	1
Raymond H. Mak	1
B. Bucher	1
Nadia Smith	1
L. O. Lamm	1
Chi Ma	1
Shalini Moningi	1
Wanpeng Tan	1
Guergana Savova	1
Madeleine Goldstein	1
Padmini Krishnadas	1
Miles McCrory	1
Shan Chen	1
Susan Harper	1
P. Davies	1
Hugo J.W.L. Aerts	1
Jessica Goldring	1
Benjamin H. Kann	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Graph Degree Linkage: Agglomerative Clustering on a Directed Graph	2012	Wei Zhang Xiaogang Wang Deli Zhao Xiaoou Tang	4
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	3
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	3
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Unsupervised Deep Embedding for Clustering Analysis	2015	Junyuan Xie Ross Girshick Ali Farhadi	3
+ PDF Chat	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning	2018	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Shin Ishii	3
+ PDF Chat	Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks	2015	Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox	3
+ PDF Chat	AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries	2021	Qianjiang Hu Xiao Wang Wei Hu Guo-Jun Qi	3
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	3
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin	3
+ PDF Chat	Temporal Action Detection with Structured Segment Networks	2019	Yue Zhao Yuanjun Xiong Limin Wang Zhirong Wu Xiaoou Tang Dahua Lin	3
+ PDF Chat	Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization	2021	Foivos Ntelemis Yaochu Jin Spencer A. Thomas	3
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	3
+	Bootstrap your own latent: A new approach to self-supervised Learning	2020	Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre H. Richemond Elena Buchatskaya Carl Doersch Bernardo Ávila Pires Zhaohan Daniel Guo Mohammad Gheshlaghi Azar	3
+	Learning Discrete Representations via Information Maximizing Self-Augmented Training	2017	Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama	2
+	Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations	2009	Andrzej Cichocki Anh Huy Phan	2
+ PDF Chat	Self-Supervised Classification Network	2022	Elad Amrani Leonid Karlinsky Alex Bronstein	2
+	Adversarial Feature Learning	2016	Jeff Donahue Philipp Krähenbühl Trevor Darrell	2
+ PDF Chat	Deep Image Clustering with Category-Style Representation	2020	Junjie Zhao Donghuan Lu Kai Ma Yu Zhang Yefeng Zheng	2
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	2
+ PDF Chat	SCAN: Learning to Classify Images Without Labels	2020	Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool	2
+ PDF Chat	Solving Inefficiency of Self-supervised Representation Learning	2021	Guangrun Wang Keze Wang Guangcong Wang Philip H. S. Torr Liang Lin	2
+ PDF Chat	InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training	2021	Zewen Chi Li Dong Furu Wei Nan Yang Saksham Singhal Wenhui Wang Song Xia Xian-Ling Mao Heyan Huang Ming Zhou	2
+	Adversarial Autoencoders	2015	Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey	2
+	Learning Discrete Representations via Information Maximizing Self-Augmented Training	2017	Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama	2
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	2
+ PDF Chat	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?	2016	Nima Tajbakhsh Jae Y. Shin Suryakanth R. Gurudu R. Todd Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang	2
+ PDF Chat	Contrastive Representation Learning: A Framework and Review	2020	Phuc H. Le-Khac Graham Healy Alan F. Smeaton	2
+ PDF Chat	Improving palliative care with deep learning	2018	Anand Avati Kenneth Jung Stephanie Harman N. Lance Downing Andrew Y. Ng Nigam H. Shah	2
+	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning	2016	Hoo-Chang Shin Holger R. Roth Mingchen Gao Le Lü Ziyue Xu Isabella Nogues Jianhua Yao Daniel J. Mollura Ronald M. Summers	2
+ PDF Chat	Deep Comprehensive Correlation Mining for Image Clustering	2019	Jianlong Wu Keyu Long Fei Wang Chen Qian Cheng Li Zhouchen Lin Hongbin Zha	2
+ PDF Chat	wav2vec: Unsupervised Pre-Training for Speech Recognition	2019	Steffen Schneider Alexei Baevski Ronan Collobert Michael Auli	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations	2019	Alexei Baevski Steffen Schneider Michael Auli	2
+	Mathematics of Deep Learning	2017	René Vidal Joan Bruna Raja Giryes Stefano Soatto	2
+	Deep learning for tumor classification in imaging mass spectrometry	2017	Jens Behrmann Christian Etmann Tobias Boskamp Rita Casadonte Jörg Kriegsmann Peter Maaβ	2
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+	Unsupervised Learning by Predicting Noise	2017	Piotr Bojanowski Armand Joulin	2
+ PDF Chat	Joint Unsupervised Learning of Deep Representations and Image Clusters	2016	Jianwei Yang Devi Parikh Dhruv Batra	2
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	2
+ PDF Chat	Invariant Information Clustering for Unsupervised Image Classification and Segmentation	2019	Xu Ji Andrea Vedaldi João Henriques	2
+	Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs	2020	Emma Rocheteau Doyoon Kim	2
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	1
+	Some methods for classification and analysis of multivariate observations	1967	James B. MacQueen	1
+	Variational Deep Embedding: A Generative Approach to Clustering.	2016	Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou	1
+	Deep Generative Stochastic Networks Trainable by Backprop	2013	Yoshua Bengio Eric Laufer Guillaume Alain Jason Yosinski	1
+	Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering	2016	Bo Yang Xiao Fu Nicholas D. Sidiropoulos Mingyi Hong	1
+	Energy-based Generative Adversarial Network	2016	Junbo Zhao Michaël Mathieu Yann LeCun	1