Graham Patrick Taylor
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Computer Science
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(Suggest an Edit or Addition)Graham Patrick Taylor's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Improved Regularization of Convolutional Neural Networks with Cutout (2017) (2392)
- Deconvolutional networks (2010) (1375)
- Adaptive deconvolutional networks for mid and high level feature learning (2011) (1140)
- Evaluating the Effects of SARS-CoV-2 Spike Mutation D614G on Transmissibility and Pathogenicity (2020) (819)
- Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England (2021) (806)
- Convolutional Learning of Spatio-temporal Features (2010) (664)
- SARS-CoV-2 evolution during treatment of chronic infection (2021) (647)
- Modeling Human Motion Using Binary Latent Variables (2006) (625)
- The Recurrent Temporal Restricted Boltzmann Machine (2008) (415)
- Factored conditional restricted Boltzmann Machines for modeling motion style (2009) (413)
- Learning Confidence for Out-of-Distribution Detection in Neural Networks (2018) (407)
- Deep Multimodal Learning: A Survey on Recent Advances and Trends (2017) (403)
- Dataset Augmentation in Feature Space (2017) (310)
- Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the Alpha variant B.1.1.7 (2021) (285)
- ModDrop: Adaptive Multi-Modal Gesture Recognition (2014) (259)
- Automatic moth detection from trap images for pest management (2016) (230)
- Multi-scale Deep Learning for Gesture Detection and Localization (2014) (203)
- Learning Human Pose Estimation Features with Convolutional Networks (2013) (197)
- Deep Learning on FPGAs: Past, Present, and Future (2016) (169)
- Understanding Attention and Generalization in Graph Neural Networks (2019) (167)
- Dynamical binary latent variable models for 3D human pose tracking (2010) (158)
- Learning Human Identity from Motion Patterns (2015) (154)
- Forecasting air quality time series using deep learning (2018) (151)
- Cross-reactive memory T cells associate with protection against SARS-CoV-2 infection in COVID-19 contacts (2022) (127)
- Two Distributed-State Models For Generating High-Dimensional Time Series (2011) (122)
- Deep Learning Object Detection Methods for Ecological Camera Trap Data (2018) (113)
- Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points (2018) (111)
- Past, present and future approaches using computer vision for animal re‐identification from camera trap data (2018) (102)
- ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis (2020) (93)
- Prediction of flow duration curves for ungauged basins (2017) (92)
- Attacking Binarized Neural Networks (2017) (92)
- Unconstrained Scene Generation with Locally Conditioned Radiance Fields (2021) (90)
- Caffeinated FPGAs: FPGA framework For Convolutional Neural Networks (2016) (84)
- Leveraging Uncertainty Estimates for Predicting Segmentation Quality (2018) (83)
- Exponential growth, high prevalence of SARS-CoV-2, and vaccine effectiveness associated with the Delta variant (2021) (82)
- Multi-task Learning of Facial Landmarks and Expression (2014) (78)
- SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation (2021) (76)
- Rapid increase in Omicron infections in England during December 2021: REACT-1 study (2021) (75)
- Quantitatively Evaluating GANs With Divergences Proposed for Training (2018) (69)
- Batch Normalization is a Cause of Adversarial Vulnerability (2019) (68)
- Community prevalence of SARS-CoV-2 virus in England during May 2020: REACT study (2020) (56)
- Domain Adaptation Using Representation Learning for the Classification of Remote Sensing Images (2017) (55)
- Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks (2017) (54)
- A Multi-scale Approach to Gesture Detection and Recognition (2013) (53)
- Three critical factors affecting automated image species recognition performance for camera traps (2020) (53)
- Learning invariance through imitation (2011) (52)
- Twin peaks: The Omicron SARS-CoV-2 BA.1 and BA.2 epidemics in England (2022) (47)
- Theano-MPI: A Theano-Based Distributed Training Framework (2016) (47)
- TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018) (46)
- Hand pose estimation through semi-supervised and weakly-supervised learning (2015) (45)
- Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer (2019) (44)
- Theano-based Large-Scale Visual Recognition with Multiple GPUs (2014) (44)
- Federated learning and differential privacy for medical image analysis (2021) (43)
- Exponential growth, high prevalence of SARS-CoV-2 and vaccine effectiveness associated with Delta variant in England during May to July 2021 (2021) (40)
- Human body part estimation from depth images via spatially-constrained deep learning (2014) (40)
- Human body part estimation from depth images via spatially-constrained deep learning (2014) (40)
- Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines (2011) (39)
- Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies (2021) (37)
- Generative Adversarial Parallelization (2016) (35)
- Unsupervised and transfer learning challenge (2011) (35)
- Composable, Distributed-state Models for High-dimensional Time Series (2009) (35)
- Hand Segmentation with Structured Convolutional Learning (2014) (34)
- Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation (2020) (33)
- Modeling Grasp Motor Imagery Through Deep Conditional Generative Models (2017) (33)
- Context-aware Scene Graph Generation with Seq2Seq Transformers (2021) (31)
- Pose-Sensitive Embedding by Nonlinear NCA Regression (2010) (30)
- On the Evaluation of Conditional GANs (2019) (30)
- Image Classification with Hierarchical Multigraph Networks (2019) (29)
- Deep Learning Architectures for Soil Property Prediction (2015) (28)
- Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy (2017) (27)
- Artificial cognition: How experimental psychology can help generate explainable artificial intelligence (2020) (27)
- Instance Selection for GANs (2020) (26)
- Real-Time End-to-End Action Detection with Two-Stream Networks (2018) (26)
- Parameter Prediction for Unseen Deep Architectures (2021) (26)
- Optimal design and operation of Archimedes screw turbines using Bayesian optimization (2016) (25)
- Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules (2018) (25)
- Robotic pilot study for analysing spasticity: clinical data versus healthy controls (2015) (23)
- LOHO: Latent Optimization of Hairstyles via Orthogonalization (2021) (22)
- Can Drosophila melanogaster tell who’s who? (2018) (22)
- Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank (2019) (21)
- A reinforcement learning framework for parameter control in computer vision applications (2004) (20)
- Learning with Less Data Via Weakly Labeled Patch Classification in Digital Pathology (2019) (20)
- Adversarial Training Versus Weight Decay (2018) (19)
- Learning temporal attention in dynamic graphs with bilinear interactions (2019) (19)
- Reinforced Contrast Adaptation (2006) (18)
- SARS-CoV-2 infection and vaccine effectiveness in England (REACT-1): a series of cross-sectional random community surveys (2022) (18)
- SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells (2019) (17)
- Understanding attention in graph neural networks (2019) (17)
- Semisupervised Hyperspectral Image Classification via Neighborhood Graph Learning (2015) (16)
- Keep Drawing It: Iterative language-based image generation and editing (2018) (16)
- Onset and window of SARS-CoV-2 infectiousness and temporal correlation with symptom onset: a prospective, longitudinal, community cohort study (2022) (16)
- Learning Permutation Invariant Representations using Memory Networks (2019) (15)
- Deep learning for supervised classification of spatial epidemics. (2019) (15)
- Designing learned CO2-based occupancy estimation in smart buildings (2018) (14)
- On Evaluation Metrics for Graph Generative Models (2022) (14)
- Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine (2009) (14)
- Multisource Domain Adaptation for Remote Sensing Using Deep Neural Networks (2020) (13)
- Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures (2018) (13)
- Hand Pose Estimation through Weakly-Supervised Learning of a Rich Intermediate Representation (2015) (13)
- Stochastic Layer-Wise Precision in Deep Neural Networks (2018) (13)
- Post-peak dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 (2022) (13)
- Dynamics of competing SARS-CoV-2 variants during the Omicron epidemic in England (2022) (12)
- Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking (2019) (12)
- Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction (2017) (12)
- Metric Learning for Patch Classification in Digital Pathology (2019) (12)
- Enabling Continual Learning with Differentiable Hebbian Plasticity (2020) (11)
- SARS-CoV-2 lineage dynamics in England from September to November 2021: high diversity of Delta sub-lineages and increased transmissibility of AY.4.2 (2021) (11)
- Body Motion Analysis for Multi-modal Identity Verification (2010) (11)
- Modout: Learning Multi-Modal Architectures by Stochastic Regularization (2017) (11)
- An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning (2017) (10)
- Skin Lesion Segmentation using Deep Hypercolumn Descriptors (2017) (10)
- "Mental Rotation" by Optimizing Transforming Distance (2014) (10)
- Cross-reactive memory T cells associate with protection against SARS-CoV-2 infection in COVID-19 contacts (2022) (10)
- Hurdle Preflight in Springboard Diving: A Case of Diminishing Returns (2002) (9)
- Building LEGO Using Deep Generative Models of Graphs (2020) (9)
- Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England (2022) (9)
- Deconvolutional Networks for Feature Learning (2010) (9)
- Products of Hidden Markov Models: It Takes N>1 to Tango (2009) (8)
- Health inequities and HTLV-1. (2022) (8)
- Generative Compositional Augmentations for Scene Graph Prediction (2020) (8)
- Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization (2020) (8)
- Predicting Adversarial Examples with High Confidence (2018) (8)
- An Integrated System for Mapping Red Clover Ground Cover Using Unmanned Aerial Vehicles: A Case Study in Precision Agriculture (2015) (8)
- REACT-1 round 15 final report: Increased breakthrough SARS-CoV-2 infections among adults who had received two doses of vaccine, but booster doses and first doses in children are providing important protection (2021) (8)
- Reinforcement learning for parameter control of text detection in images from video sequences (2004) (8)
- Learning individual human activities from short binary shape sequences (2011) (7)
- Bulk arthropod abundance, biomass and diversity estimation using deep learning for computer vision (2021) (7)
- Population growth estimates of a threatened seabird indicate necessity for additional management following invasive predator eradications (2019) (7)
- Dynamic contact networks of swine movement in Manitoba, Canada: Characterization and implications for infectious disease spread. (2019) (7)
- The Omicron SARS-CoV-2 epidemic in England during February 2022 (2022) (7)
- The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment (2017) (7)
- Self-Paced Learning with Adaptive Deep Visual Embeddings (2018) (6)
- Transmission of SARS-CoV-2 by children to contacts in schools and households: a prospective cohort and environmental sampling study in London (2022) (6)
- Breakthrough SARS-CoV-2 infections in double and triple vaccinated adults and single dose vaccine effectiveness among children in Autumn 2021 in England: REACT-1 study (2022) (6)
- Distributed Sensor Network for Indirect Occupancy Measurement in Smart Buildings (2018) (6)
- Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study (2021) (6)
- Detection and quantification of antibody to SARS CoV 2 receptor binding domain provides enhanced sensitivity, specificity and utility (2022) (6)
- ICML2011 Unsupervised and Transfer Learning Workshop (2011) (6)
- Learning a metric for class-conditional KNN (2016) (5)
- Generative Class-conditional Autoencoders (2014) (5)
- The new normal? Dynamics and scale of the SARS-CoV-2 variant Omicron epidemic in England (2022) (5)
- Transcriptional reprogramming from innate immune functions to a pro-thrombotic signature by monocytes in COVID-19 (2022) (5)
- BLE Beacon Based Patient Tracking in Smart Care Facilities (2018) (5)
- Modout: Learning to Fuse Face and Gesture Modalities with Stochastic Regularization (2017) (5)
- Learning local spatio-temporal features for activity recognition (2010) (5)
- Neural Network Regularization via Robust Weight Factorization (2014) (5)
- Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission (2022) (5)
- Reinforcement Learning for Parameter Control of Image-Based Applications (2004) (4)
- Voxel-Wise Logistic Regression and Leave-One-Source-Out Cross Validation for white matter hyperintensity segmentation. (2018) (4)
- Response Time Analysis for Explainability of Visual Processing in CNNs (2020) (4)
- Understanding anatomy classification through attentive response maps (2016) (4)
- Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning (2021) (4)
- Omicron SARS-CoV-2 epidemic in England during February 2022: A series of cross-sectional community surveys (2022) (4)
- Structure optimization for deep multimodal fusion networks using graph-induced kernels (2017) (4)
- Similarity learning networks for animal individual re-identification: an ecological perspective (2022) (4)
- Generalized Hadamard-Product Fusion Operators for Visual Question Answering (2018) (4)
- Analysis of the IJCNN 2011 UTL challenge (2012) (3)
- Equivalence of histogram equalization, histogram matching and the Nyul algorithm for intensity standardization in MRI (2017) (3)
- A simple and effective semi-supervised learning framework for hyperspectral image classification (2016) (3)
- Broadening symptom criteria improves early case identification in SARS-CoV-2 contacts (2021) (3)
- An Empirical Study of Neural Kernel Bandits (2021) (3)
- Convolutional Neural Networks Regularized by Correlated Noise (2018) (3)
- Apparent Age Estimation with Relational Networks (2019) (3)
- Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources (2008) (3)
- A novel restriction fragment length polymorphism for petrels or tube‐nosed seabirds (2000) (2)
- Simple, sensitive, specific self-sampling assay secures SARS-CoV-2 antibody signals in sero-prevalence and post-vaccine studies (2022) (2)
- Differentiable Hebbian Plasticity for Continual Learning (2019) (2)
- Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task (2020) (2)
- Techniques for Decreasing the Computational Time of Differential Hysteresis Processing (2002) (2)
- Reversible Fixup Networks for Memory-Efficient Training (2019) (2)
- Scoring and Classifying with Gated Auto-Encoders (2014) (2)
- Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics (2014) (2)
- The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation (2021) (2)
- Bit-Regularized Optimization of Neural Nets (2018) (2)
- Adaptive Wolf Management: The Regulated Public Harvest Component (2011) (1)
- Domain-Agnostic Clustering with Self-Distillation (2021) (1)
- Monitoring Shortcut Learning using Mutual Information (2022) (1)
- CMIP6 model fidelity at simulating large-scale atmospheric circulation patterns and associated temperature and precipitation over the Pacific Northwest (2022) (1)
- Design and Implementation of a National SARS-CoV-2 Monitoring Program in England: REACT-1 Study. (2023) (1)
- DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software (2022) (1)
- Neural Structure Mapping For Learning Abstract Visual Analogies (2021) (1)
- 3D skeletal reconstruction from low-resolution multi-view images (2012) (1)
- Transcriptional reprogramming from innate immune functions to a pro-thrombotic signature upon SARS-CoV-2 sensing by monocytes in COVID-19 (2022) (1)
- Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning (2019) (1)
- A Nonparametric Bayesian Model for Sparse Temporal Multigraphs (2019) (1)
- HURDLE PREFLIGHT : A CASE OF DIMINISHING RETURNS ? (1999) (1)
- Predicting dreissenid mussel abundance in nearshore waters using underwater imagery and deep learning (2022) (1)
- Sequential Edge Clustering in Temporal Multigraphs. (2019) (1)
- Identifying People based on their Motion Signature (2010) (1)
- Modular Length Control for Sentence Generation (2020) (1)
- Risk factors and vectors for SARS-CoV-2 household transmission: a prospective, longitudinal cohort study (2023) (1)
- Workshop on Representation Learning on Graphs and Manifolds U NDERSTANDING ATTENTION IN GRAPH NEURAL NETWORKS (2019) (1)
- Mendelian randomisation identifies priority groups for prophylactic EBV vaccination (2023) (0)
- Can weak segmentation labels from natural images aid digital pathology-based cancer classification? (2021) (0)
- DelphAI: A human-centered approach to time-series forecasting (2022) (0)
- Differentiable Hebbian Consolidation for Continual Learning (2019) (0)
- Neural Response Time Analysis: XAI Using Only a Stopwatch† (2021) (0)
- Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study (Preprint) (2021) (0)
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 4 HLV 2 ConvD 2 ConvD 1 ConvC 1 ConvC 1 ConvC 2 ConvC 2 max pooling ConvD 2 ConvD 1 HLV 1 shared hidden layer HLS HLV 1 HLV (2014) (0)
- Di ff erentiable Hebbian Consolidation for Continual Lifelong Learning (2019) (0)
- One Health Informatics and the stewardship of complex systems (2021) (0)
- Adversarial Examples as an Input-Fault Tolerance Problem (2018) (0)
- Robotic pilot study for analysing spasticity: clinical data versus healthy controls (2015) (0)
- Empirical analysis of representation learning and exploration in neural kernel bandits (2021) (0)
- Supplementary Material — LOHO: Latent Optimization of Hairstyles via Orthogonalization (2021) (0)
- Learning with Less Labels in Digital Pathology Via Scribble Supervision from Natural Images (2022) (0)
- Structured deep learning : ! Pose and gestures ! (2015) (0)
- P251 The induction of early, dynamic airway mucosal and systemic immune responses following recent SARS-CoV-2 household exposure (2021) (0)
- Unpicking the Gordian knot: Mendelian randomization to elucidate the risk factors for infectious diseases, using EBV as a model pathogen (2022) (0)
- Modelling the dynamics of EBV transmission to inform a vaccine target product profile and future vaccination strategy (2019) (0)
- Facilitation de la generation d'information de controle autonome (2015) (0)
- Metric learning by active crowdsourcing (0)
- Evaluation of the impact of pre-analytical conditions on sample stability for the detection of SARS-CoV-2 RNA (2022) (0)
- Identifying and interpreting tuning dimensions in deep networks (2020) (0)
- Supplementary Material for SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation (2021) (0)
- An Introduction to Systems Analysis (1991) (0)
- Activity recognition in videos (2010) (0)
- Strength in Diversity: Understanding the impacts of diverse training sets for self-supervised pre-training in histology (2021) (0)
- An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity Patterns (2015) (0)
- Understanding the impact of image and input resolution on deep digital pathology patch classifiers (2022) (0)
- A Rate-Distortion Theory of Adversarial Examples (2018) (0)
- LEAP: Learning Embeddings for Adaptive Pace (2018) (0)
- Bounding generalization error with input compression: An empirical study with infinite-width networks (2022) (0)
- Rapid emergence of transmissible SARS-CoV-2 variants in mild community cases (2023) (0)
- Learn, Generate, Rank, Explain: A Case Study of Visual Explanation by Generative Machine Learning (2021) (0)
- S43 Polyfunctional T cells reveal the spectrum of tuberculosis in HIV co-infection through the identification of immunological correlates of latent and active disease (2011) (0)
- Transductive deep hand segmentation ! (2015) (0)
- Spectral Convolutional Networks on Hierarchical Multigraphs (2018) (0)
- "Will the white paper slay the dragon?". (1990) (0)
- Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers (2023) (0)
- FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision (2022) (0)
- SARS-CoV-2 evolution during treatment of chronic infection (2021) (0)
- Pal-GAN: Palette-conditioned Generative Adversarial Networks (2021) (0)
- A new paradigm for the management of ATL (2022) (0)
- Supplementary for “Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning” (2021) (0)
- GCNet: Probing Self-Similarity Learning for Generalized Counting Network (2023) (0)
- Projections of Large-Scale Atmospheric Circulation Patterns and Associated Temperature and Precipitation Over the Pacific Northwest Using CMIP6 Models (2021) (0)
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What Schools Are Affiliated With Graham Patrick Taylor?
Graham Patrick Taylor is affiliated with the following schools:
