Graham W. Taylor

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 149

Top Venues

Publications

Akshita Gupta, Aditya Arora, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Graham W. Taylor
Open-Vocabulary Temporal Action Localization using Multimodal Guidance. CoRR (2024)
ZeMing Gong, Austin T. Wang, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang
BIOSCAN-CLIP: Bridging Vision and Genomics for Biodiversity Monitoring at Scale. CoRR (2024)
Kevin Kasa, Zhiyu Zhang, Heng Yang, Graham W. Taylor
Adapting Conformal Prediction to Distribution Shifts Without Labels. CoRR (2024)
Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul W. Fieguth, Angel X. Chang
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity. CoRR (2024)
Haleema Sheraz, Stefan C. Kremer, Joshua August Gus Skorburg, Graham W. Taylor, Walter Sinnott-Armstrong, Kyle Boerstler
Towards Stable Preferences for Stakeholder-aligned Machine Learning. CoRR (2024)
Scott C. Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders. CoRR (2024)
Akshita Gupta, Gaurav Mittal, Ahmed Magooda, Ye Yu, Graham W. Taylor, Mei Chen
LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization. CoRR (2024)
Mingjie Wang, Yande Li, Jun Zhou, Graham W. Taylor, Minglun Gong
GCNet: Probing self-similarity learning for Generalized Counting Network. Pattern Recognit. 153 (2024)
Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers. CoRR (2023)
Michal Lisicki, Mihai Nica, Graham W. Taylor
Bandit-Driven Batch Selection for Robust Learning under Label Noise. CoRR (2023)
C. Kupferschmidt, A. D. Binns, Kristina L. Kupferschmidt, Graham W. Taylor
Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth Sciences. CoRR (2023)
Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers. CVPR (2023)
Mateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski
The Catalog Problem: Clustering and Ordering Variable-Sized Sets. ICML (2023)
Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund
Which Tokens to Use? Investigating Token Reduction in Vision Transformers. CoRR (2023)
Pablo Millan Arias, Niousha Sadjadi, Monireh Safari, ZeMing Gong, Austin T. Wang, Scott C. Lowe, Joakim Bruslund Haurum, Iuliia Zarubiieva, Dirk Steinke, Lila Kari, Angel X. Chang, Graham W. Taylor
BarcodeBERT: Transformers for Biodiversity Analysis. CoRR (2023)
Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund
Which Tokens to Use? Investigating Token Reduction in Vision Transformers. ICCV (Workshops) (2023)
Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C. Lowe, Jaclyn T. A. McKeown, Chris C. Y. Ho, Joschka McLeod, Yi-Yun C. Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul W. Fieguth
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset. CoRR (2023)
Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor
Bounding generalization error with input compression: An empirical study with infinite-width networks. Trans. Mach. Learn. Res. 2023 (2023)
Juan Carrasquilla, Mohamed Hibat-Allah, Estelle M. Inack, Alireza Makhzani, Kirill Neklyudov, Graham W. Taylor, Giacomo Torlai
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. CoRR (2023)
Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C. Lowe, Jaclyn T. A. McKeown, Chris C. Y. Ho, Joschka McLeod, Yi-Yun C. Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul W. Fieguth
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset. NeurIPS (2023)
Mingjie Wang, Yande Li, Jun Zhou, Graham W. Taylor, Minglun Gong
GCNet: Probing Self-Similarity Learning for Generalized Counting Network. CoRR (2023)
Kevin Kasa, Graham W. Taylor
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data. CoRR (2023)
Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. CRV (2022)
Kristina L. Kupferschmidt, Joshua August Gus Skorburg, Graham W. Taylor
DelphAI: A human-centered approach to time-series forecasting. Big Data (2022)
Eu Wern Teh, Graham W. Taylor
Understanding the impact of image and input resolution on deep digital pathology patch classifiers. CRV (2022)
Eu Wern Teh, Graham W. Taylor
Understanding the impact of image and input resolution on deep digital pathology patch classifiers. CoRR (2022)
Alix Leroy, Graham W. Taylor
FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision. NeurIPS (2022)
Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
On Evaluation Metrics for Graph Generative Models. ICLR (2022)
Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
On Evaluation Metrics for Graph Generative Models. CoRR (2022)
Eu Wern Teh, Graham W. Taylor
Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images. CoRR (2022)
Chuan-Yung Tsai, Graham W. Taylor
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software. CoRR (2022)
Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor
Bounding generalization error with input compression: An empirical study with infinite-width networks. CoRR (2022)
Eu Wern The, Graham W. Taylor
Learning with Less Labels in Digital Pathology Via Scribble Supervision from Natural Images. ISBI (2022)
Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Angus Galloway, Hamid R. Tizhoosh, Graham W. Taylor
Monitoring Shortcut Learning using Mutual Information. CoRR (2022)
Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CoRR (2021)
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
Parameter Prediction for Unseen Deep Architectures. CoRR (2021)
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
Parameter Prediction for Unseen Deep Architectures. NeurIPS (2021)
Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CVPR (2021)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Generative Compositional Augmentations for Scene Graph Prediction. ICCV (2021)
Michal Lisicki, Arash Afkanpour, Graham W. Taylor
An Empirical Study of Neural Kernel Bandits. CoRR (2021)
Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV (2021)
Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. CoRR (2021)
Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. CoRR (2021)
Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi
LOHO: Latent Optimization of Hairstyles via Orthogonalization. CVPR (2021)
Chris Kim, Xiao Lin, Christopher Collins, Graham W. Taylor, Mohamed R. Amer
Learn, Generate, Rank, Explain: A Case Study of Visual Explanation by Generative Machine Learning. ACM Trans. Interact. Intell. Syst. 11 (3-4) (2021)
Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR (2021)
Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guang Wei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs
Context-aware Scene Graph Generation with Seq2Seq Transformers. ICCV (2021)
Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Graham W. Taylor
Domain-Agnostic Clustering with Self-Distillation. CoRR (2021)
Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi
LOHO: Latent Optimization of Hairstyles via Orthogonalization. CoRR (2021)
Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. NeurIPS (2021)
J. Eric Taylor, Shashank Shekhar, Graham W. Taylor
Response Time Analysis for Explainability of Visual Processing in CNNs. CVPR Workshops (2020)
Ahmed Elshamli, Graham W. Taylor, Shawki Areibi
Multisource Domain Adaptation for Remote Sensing Using Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 58 (5) (2020)
Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh
Learning Permutation Invariant Representations Using Memory Networks. ECCV (29) (2020)
Eu Wern Teh, Graham W. Taylor
Learning with Less Data Via Weakly Labeled Patch Classification in Digital Pathology. ISBI (2020)
Rylee Thompson, Elahe Ghalebi, Terrance DeVries, Graham W. Taylor
Building LEGO Using Deep Generative Models of Graphs. CoRR (2020)
Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. WACV Workshops (2020)
Terrance DeVries, Michal Drozdzal, Graham W. Taylor
Instance Selection for GANs. NeurIPS (2020)
Katya Kudashkina, Valliappa Chockalingam, Graham W. Taylor, Michael Bowling
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task. CoRR (2020)
Terrance DeVries, Michal Drozdzal, Graham W. Taylor
Instance Selection for GANs. CoRR (2020)
Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor
Enabling Continual Learning with Differentiable Hebbian Plasticity. IJCNN (2020)
Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor
Enabling Continual Learning with Differentiable Hebbian Plasticity. CoRR (2020)
Eu Wern Teh, Terrance DeVries, Graham W. Taylor
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. ECCV (24) (2020)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. BMVC (2020)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Generative Graph Perturbations for Scene Graph Prediction. CoRR (2020)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. CoRR (2020)
Katya Kudashkina, Peter Wittek, Jamie Kiros, Graham W. Taylor
Modular Length Control for Sentence Generation. ESANN (2020)
Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor
Identifying and interpreting tuning dimensions in deep networks. CoRR (2020)
Eu Wern Teh, Terrance DeVries, Graham W. Taylor
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. CoRR (2020)
Michal Lisicki, Arash Afkanpour, Graham W. Taylor
Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization. CoRR (2020)
Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. CoRR (2019)
Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
Understanding attention in graph neural networks. CoRR (2019)
Eu Wern Teh, Graham W. Taylor
Apparent Age Estimation with Relational Networks. CRV (2019)
Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
Image Classification with Hierarchical Multigraph Networks. BMVC (2019)
Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. CoRR (2019)
Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal
On the Evaluation of Conditional GANs. CoRR (2019)
Devinder Kumar, Graham W. Taylor, Alexander Wong
Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. IEEE Access 7 (2019)
Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
Understanding Attention and Generalization in Graph Neural Networks. NeurIPS (2019)
Eu Wern Teh, Graham W. Taylor
Learning with less data via Weakly Labeled Patch Classification in Digital Pathology. CoRR (2019)
Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh
Learning Permutation Invariant Representations using Memory Networks. CoRR (2019)
Boris Knyazev, Carolyn Augusta, Graham W. Taylor
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions. CoRR (2019)
Devinder Kumar, Vignesh Sankar, David A. Clausi, Graham W. Taylor, Alexander Wong
SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. IEEE Access 7 (2019)
Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CoRR (2019)
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, Sinead A. Williamson
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs. CoRR (2019)
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. ICCV (2019)
Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CVPR Workshops (2019)
Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind
Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking. CoRR (2019)
Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, Graham W. Taylor
Batch Normalization is a Cause of Adversarial Vulnerability. CoRR (2019)
Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
Image Classification with Hierarchical Multigraph Networks. CoRR (2019)
Brendan Duke, Graham W. Taylor
Generalized Hadamard-Product Fusion Operators for Visual Question Answering. CRV (2018)
Daniel Jiwoong Im, He Ma, Graham W. Taylor, Kristin Branson
Quantitatively Evaluating GANs With Divergences Proposed for Training. CoRR (2018)
Alaaeldin El-Nouby, Graham W. Taylor
Real-Time End-to-End Action Detection with Two-Stream Networks. CoRR (2018)
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
Keep Drawing It: Iterative language-based image generation and editing. CoRR (2018)
Griffin Lacey, Graham W. Taylor, Shawki Areibi
Stochastic Layer-Wise Precision in Deep Neural Networks. UAI (2018)
Alaaeldin El-Nouby, Graham W. Taylor
Real-Time End-to-End Action Detection with Two-Stream Networks. CRV (2018)
Brad Kennedy, Graham W. Taylor, Petros Spachos
BLE Beacon Based Patient Tracking in Smart Care Facilities. PerCom Workshops (2018)
Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer
Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data. CoRR (2018)
Angus Galloway, Anna Golubeva, Graham W. Taylor
Adversarial Examples as an Input-Fault Tolerance Problem. CoRR (2018)
Brendan Duke, Graham W. Taylor
Generalized Hadamard-Product Fusion Operators for Visual Question Answering. CoRR (2018)
Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points. CoRR (2018)
Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
Deep Learning Object Detection Methods for Ecological Camera Trap Data. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Graham W. Taylor