Graham W. Taylor

218 papers A* 24A 9B 10C 2Misc 1Journal 124Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hyperbolic Perspective on Hierarchical Structure in Object-Centric Scene Representations. CoRR Neelu Madan, Àlex Pujol, Andreas Møgelmose, Sergio Escalera, Kamal Nasrollahi, Graham W. Taylor, Thomas B. Moeslund
2026	J	`jnl`	A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements. CoRR S. M. Rayeed, Mridul Khurana, Alyson East, Isadora E. Fluck, Elizabeth G. Campolongo, Samuel Stevens, Iuliia Zarubiieva, Scott C. Lowe, Michael W. Denslow, Evan Donoso, Jiaman Wu, Michelle Ramirez, Benjamin Baiser, Charles V. Stewart, Paula M. Mabee, Tanya Y. Berger-Wolf, Anuj Karpatne, Hilmar Lapp, Robert P. Guralnick, Graham W. Taylor, Sydne Record
2026	J	`jnl`	Self-Distillation of Hidden Layers for Self-Supervised Representation Learning. CoRR Scott C. Lowe, Anthony Fuller, Sageev Oore, Evan Shelhamer, Graham W. Taylor
2026	J	`jnl`	Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives. CoRR Shaina Raza, Iuliia Eyriay, Ahmed Y. Radwan, Nathaniel Lesperance, Deval Pandya, Sedef Akinli Koçak, Graham W. Taylor
2025	J	`jnl`	A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level. CoRR Johanna Orsholm, John Quinto, Hannu Autto, Gaia Banelyte, Nicolas Chazot, Jeremy deWaard, Stephanie deWaard, Arielle Farrell, Brendan Furneaux, Bess Hardwick, Nao Ito, Amlan Kar, Oula Kalttopää, Deirdre Kerdraon, Erik Kristensen, Jaclyn T. A. McKeown, Tommi Mononen, Ellen Nein, Hanna Rogers, Tomas Roslin, Paula Schmitz, Jayme Sones, Maija Sujala, Amy Thompson, Evgeny V. Zakharov, Iuliia Zarubiieva, Akshita Gupta, Scott C. Lowe, Graham W. Taylor
2025	A	`conf`	Adapting Prediction Sets to Distribution Shifts Without Labels. UAI Kevin Kasa, Zhiyu Zhang, Heng Yang, Graham W. Taylor
2025	J	`jnl`	BarcodeMamba+: Advancing State-Space Models for Fungal Biodiversity Research. CoRR Tiancheng Gao, Scott C. Lowe, Brendan Furneaux, Angel X. Chang, Graham W. Taylor
2025	A*	`conf`	Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave. AAAI Kristina L. Kupferschmidt, Flora Wan, Juan Carrasquilla Alvarez, Dora Gaviria Castaño, Graham W. Taylor, Sedef Akinli Koçak
2025	A*	`conf`	CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale. ICLR ZeMing Gong, Austin T. Wang, Xiaoliang Huo, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang
2025	J	`jnl`	Enhancing DNA Foundation Models to Address Masking Inefficiencies. CoRR Monireh Safari, Pablo Millan Arias, Scott C. Lowe, Lila Kari, Angel X. Chang, Graham W. Taylor
2025	J	`jnl`	Hyperbolic Multimodal Representation Learning for Biological Taxonomies. CoRR ZeMing Gong, Chuanqi Tang, Xiaoliang Huo, Nicholas Pellegrino, Austin T. Wang, Graham W. Taylor, Angel X. Chang, Scott C. Lowe, Joakim Bruslund Haurum
2025	J	`jnl`	Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks? CoRR Rishika Bhagwatkar, Kevin Kasa, Abhay Puri, Gabriel Huang, Irina Rish, Graham W. Taylor, Krishnamurthy Dj Dvijotham, Alexandre Lacoste
2025	A*	`conf`	LAST SToP for Modeling Asynchronous Time Series. ICML Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian W. Bialokozowicz
2025	A	`conf`	LoSA: Long-Short-Range Adapter for Scaling End-to-End Temporal Action Localization. WACV Akshita Gupta, Gaurav Mittal, Ahmed Magooda, Ye Yu, Graham W. Taylor, Mei Chen
2025	J	`jnl`	Neuron-based explanations of neural networks sacrifice completeness and interpretability. Trans. Mach. Learn. Res. Nolan Simran Dey, J. Eric Taylor, Alexander Wong, Bryan P. Tripp, Graham W. Taylor
2025	—	`conf`	Taxonomic Reasoning for Rare Arthropods: Combining Dense Image Captioning and RAG for Interpretable Classification. Canadian AI Nathaniel Lesperance, Sujeevan Ratnasingham, Graham W. Taylor
2025	J	`jnl`	Taxonomic Reasoning for Rare Arthropods: Combining Dense Image Captioning and RAG for Interpretable Classification. CoRR Nathaniel Lesperance, Sujeevan Ratnasingham, Graham W. Taylor
2024	J	`jnl`	Adapting Conformal Prediction to Distribution Shifts Without Labels. CoRR Kevin Kasa, Zhiyu Zhang, Heng Yang, Graham W. Taylor
2024	—	`conf`	Agglomerative Token Clustering. ECCV (57) Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund
2024	J	`jnl`	Agglomerative Token Clustering. CoRR Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund
2024	J	`jnl`	An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders. CoRR Scott C. Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor
2024	A*	`conf`	BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity. NeurIPS 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
2024	J	`jnl`	BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity. CoRR 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
2024	J	`jnl`	BIOSCAN-CLIP: Bridging Vision and Genomics for Biodiversity Monitoring at Scale. CoRR ZeMing Gong, Austin T. Wang, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang
2024	J	`jnl`	BarcodeMamba: State Space Models for Biodiversity Analysis. CoRR Tiancheng Gao, Graham W. Taylor
2024	J	`jnl`	Food for thought: How can machine learning help better predict and understand changes in food prices? CoRR Kristina L. Kupferschmidt, James Requiema, Mya Simpson, Zohrah Varsallay, Ethan Jackson, Cody Kupferschmidt, Sara El-Shawa, Graham W. Taylor
2024	J	`jnl`	GCNet: Probing self-similarity learning for Generalized Counting Network. Pattern Recognit. Mingjie Wang, Yande Li, Jun Zhou, Graham W. Taylor, Minglun Gong
2024	J	`jnl`	LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization. CoRR Akshita Gupta, Gaurav Mittal, Ahmed Magooda, Ye Yu, Graham W. Taylor, Mei Chen
2024	A	`conf`	Open-Vocabulary Temporal Action Localization using Multimodal Guidance. BMVC Akshita Gupta, Aditya Arora, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Graham W. Taylor
2024	J	`jnl`	Open-Vocabulary Temporal Action Localization using Multimodal Guidance. CoRR Akshita Gupta, Aditya Arora, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Graham W. Taylor
2023	A*	`conf`	A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset. NeurIPS 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
2023	J	`jnl`	A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset. CoRR 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
2023	J	`jnl`	Bandit-Driven Batch Selection for Robust Learning under Label Noise. CoRR Michal Lisicki, Mihai Nica, Graham W. Taylor
2023	J	`jnl`	BarcodeBERT: Transformers for Biodiversity Analysis. CoRR 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
2023	J	`jnl`	Bounding generalization error with input compression: An empirical study with infinite-width networks. Trans. Mach. Learn. Res. Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor
2023	J	`jnl`	Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data. CoRR Kevin Kasa, Graham W. Taylor
2023	J	`jnl`	GCNet: Probing Self-Similarity Learning for Generalized Counting Network. CoRR Mingjie Wang, Yande Li, Jun Zhou, Graham W. Taylor, Minglun Gong
2023	J	`jnl`	Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. CoRR Juan Carrasquilla, Mohamed Hibat-Allah, Estelle M. Inack, Alireza Makhzani, Kirill Neklyudov, Graham W. Taylor, Giacomo Torlai
2023	A*	`conf`	Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers. CVPR Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti
2023	J	`jnl`	Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers. CoRR Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti
2023	J	`jnl`	Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth Sciences. CoRR Cody Kupferschmidt, A. D. Binns, Kristina L. Kupferschmidt, Graham W. Taylor
2023	A*	`conf`	The Catalog Problem: Clustering and Ordering Variable-Sized Sets. ICML Mateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski
2023	—	`conf`	Which Tokens to Use? Investigating Token Reduction in Vision Transformers. ICCV (Workshops) Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund
2023	J	`jnl`	Which Tokens to Use? Investigating Token Reduction in Vision Transformers. CoRR Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund
2022	J	`jnl`	Bounding generalization error with input compression: An empirical study with infinite-width networks. CoRR Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor
2022	J	`jnl`	DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software. CoRR Chuan-Yung Tsai, Graham W. Taylor
2022	B	`conf`	DelphAI: A human-centered approach to time-series forecasting. IEEE Big Data Kristina L. Kupferschmidt, Joshua August Gus Skorburg, Graham W. Taylor
2022	—	`conf`	Learning with Less Labels in Digital Pathology Via Scribble Supervision from Natural Images. ISBI Eu Wern The, Graham W. Taylor
2022	J	`jnl`	Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images. CoRR Eu Wern Teh, Graham W. Taylor
2022	J	`jnl`	Monitoring Shortcut Learning using Mutual Information. CoRR Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Angus Galloway, Hamid R. Tizhoosh, Graham W. Taylor
2022	A*	`conf`	On Evaluation Metrics for Graph Generative Models. ICLR Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
2022	J	`jnl`	On Evaluation Metrics for Graph Generative Models. CoRR Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
2022	—	`conf`	The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. CRV Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
2022	—	`conf`	Understanding the impact of image and input resolution on deep digital pathology patch classifiers. CRV Eu Wern Teh, Graham W. Taylor
2022	J	`jnl`	Understanding the impact of image and input resolution on deep digital pathology patch classifiers. CoRR Eu Wern Teh, Graham W. Taylor
2021	J	`jnl`	An Empirical Study of Neural Kernel Bandits. CoRR Michal Lisicki, Arash Afkanpour, Graham W. Taylor
2021	A*	`conf`	Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. NeurIPS Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
2021	J	`jnl`	Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. CoRR Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
2021	C	`conf`	CARE-AI special session on AI ethics. ISTAS Clair Baleshta, Dylan White, Glen Reavie, Alysha Cooper, Graham W. Taylor, Joshua August Gus Skorburg, David Van Bruwaene, Sarah Gignac, Chris Schmidt, Laura McDonald, Patricia Thaine, Chloë Ryan, Rency Luan
2021	A*	`conf`	Context-aware Scene Graph Generation with Seq2Seq Transformers. ICCV Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs
2021	J	`jnl`	Domain-Agnostic Clustering with Self-Distillation. CoRR Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Graham W. Taylor
2021	A*	`conf`	Generative Compositional Augmentations for Scene Graph Prediction. ICCV Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2021	A*	`conf`	LOHO: Latent Optimization of Hairstyles via Orthogonalization. CVPR Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi
2021	J	`jnl`	LOHO: Latent Optimization of Hairstyles via Orthogonalization. CoRR Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi
2021	J	`jnl`	Learn, Generate, Rank, Explain: A Case Study of Visual Explanation by Generative Machine Learning. ACM Trans. Interact. Intell. Syst. Chris Kim, Xiao Lin, Christopher Collins, Graham W. Taylor, Mohamed R. Amer
2021	C	`conf`	One Health Informatics and the stewardship of complex systems. ISTAS Graham W. Taylor, Theresa Bernardo, Deborah A. Stacey, Kassy Raymond, Rozita Dara, Samira Yousefinaghani, Ethan Pike
2021	A*	`conf`	Parameter Prediction for Unseen Deep Architectures. NeurIPS Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
2021	J	`jnl`	Parameter Prediction for Unseen Deep Architectures. CoRR Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
2021	A*	`conf`	SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CVPR Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor
2021	J	`jnl`	SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CoRR Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor
2021	J	`jnl`	The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. CoRR Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
2021	A*	`conf`	Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
2021	J	`jnl`	Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
2020	J	`jnl`	Building LEGO Using Deep Generative Models of Graphs. CoRR Rylee Thompson, Elahe Ghalebi, Terrance DeVries, Graham W. Taylor
2020	B	`conf`	Enabling Continual Learning with Differentiable Hebbian Plasticity. IJCNN Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor
2020	J	`jnl`	Enabling Continual Learning with Differentiable Hebbian Plasticity. CoRR Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor
2020	J	`jnl`	Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization. CoRR Michal Lisicki, Arash Afkanpour, Graham W. Taylor
2020	J	`jnl`	Generative Graph Perturbations for Scene Graph Prediction. CoRR Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	A	`conf`	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. BMVC Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	J	`jnl`	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. CoRR Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	J	`jnl`	Identifying and interpreting tuning dimensions in deep networks. CoRR Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor
2020	A*	`conf`	Instance Selection for GANs. NeurIPS Terrance DeVries, Michal Drozdzal, Graham W. Taylor
2020	J	`jnl`	Instance Selection for GANs. CoRR Terrance DeVries, Michal Drozdzal, Graham W. Taylor
2020	—	`conf`	Learning Permutation Invariant Representations Using Memory Networks. ECCV (29) Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh
2020	—	`conf`	Learning with Less Data Via Weakly Labeled Patch Classification in Digital Pathology. ISBI Eu Wern Teh, Graham W. Taylor
2020	B	`conf`	Modular Length Control for Sentence Generation. ESANN Katya Kudashkina, Peter Wittek, Jamie Kiros, Graham W. Taylor
2020	J	`jnl`	Multisource Domain Adaptation for Remote Sensing Using Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. Ahmed Elshamli, Graham W. Taylor, Shawki Areibi
2020	—	`conf`	ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. ECCV (24) Eu Wern Teh, Terrance DeVries, Graham W. Taylor
2020	J	`jnl`	ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. CoRR Eu Wern Teh, Terrance DeVries, Graham W. Taylor
2020	—	`conf`	Response Time Analysis for Explainability of Visual Processing in CNNs. CVPR Workshops J. Eric Taylor, Shashank Shekhar, Graham W. Taylor
2020	J	`jnl`	Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task. CoRR Katya Kudashkina, Valliappa Chockalingam, Graham W. Taylor, Michael Bowling
2020	—	`conf`	Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. WACV Workshops Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
2019	J	`jnl`	A Nonparametric Bayesian Model for Sparse Temporal Multigraphs. CoRR Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, Sinead A. Williamson
2019	—	`conf`	Apparent Age Estimation with Relational Networks. CRV Eu Wern Teh, Graham W. Taylor
2019	J	`jnl`	Batch Normalization is a Cause of Adversarial Vulnerability. CoRR Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, Graham W. Taylor
2019	—	`conf`	Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CVPR Workshops Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong
2019	J	`jnl`	Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CoRR Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong
2019	A	`conf`	Classification and Re-Identification of Fruit Fly Individuals Across Days With Convolutional Neural Networks. WACV Nihal Murali, Jon Schneider, Joel Levine, Graham W. Taylor
2019	J	`jnl`	Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. IEEE Access Devinder Kumar, Graham W. Taylor, Alexander Wong
2019	A	`conf`	Image Classification with Hierarchical Multigraph Networks. BMVC Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
2019	J	`jnl`	Image Classification with Hierarchical Multigraph Networks. CoRR Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
2019	J	`jnl`	Learning Permutation Invariant Representations using Memory Networks. CoRR Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh
2019	J	`jnl`	Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions. CoRR Boris Knyazev, Carolyn Augusta, Graham W. Taylor
2019	J	`jnl`	Learning with less data via Weakly Labeled Patch Classification in Digital Pathology. CoRR Eu Wern Teh, Graham W. Taylor
2019	J	`jnl`	On the Evaluation of Conditional GANs. CoRR Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal
2019	J	`jnl`	SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. IEEE Access Devinder Kumar, Vignesh Sankar, David A. Clausi, Graham W. Taylor, Alexander Wong
2019	J	`jnl`	SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. CoRR Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong
2019	J	`jnl`	Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. CoRR Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
2019	J	`jnl`	Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking. CoRR Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind
2019	A*	`conf`	Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. ICCV Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
2019	A*	`conf`	Understanding Attention and Generalization in Graph Neural Networks. NeurIPS Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
2019	J	`jnl`	Understanding attention in graph neural networks. CoRR Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
2018	J	`jnl`	Adversarial Examples as an Input-Fault Tolerance Problem. CoRR Angus Galloway, Anna Golubeva, Graham W. Taylor
2018	J	`jnl`	Adversarial Training Versus Weight Decay. CoRR Angus Galloway, Thomas Tanay, Graham W. Taylor
2018	—	`conf`	Attacking Binarized Neural Networks. ICLR (Poster) Angus Galloway, Graham W. Taylor, Medhat Moussa
2018	—	`conf`	BLE Beacon Based Patient Tracking in Smart Care Facilities. PerCom Workshops Brad Kennedy, Graham W. Taylor, Petros Spachos
2018	J	`jnl`	Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures. Neurocomputing Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor
2018	—	`conf`	Convolutional Neural Networks Regularized by Correlated Noise. CRV Shamak Dutta, Bryan P. Tripp, Graham W. Taylor
2018	J	`jnl`	Convolutional Neural Networks Regularized by Correlated Noise. CoRR Shamak Dutta, Bryan P. Tripp, Graham W. Taylor
2018	—	`conf`	Deep Learning Object Detection Methods for Ecological Camera Trap Data. CRV Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
2018	J	`jnl`	Deep Learning Object Detection Methods for Ecological Camera Trap Data. CoRR Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
2018	J	`jnl`	Designing learned CO IET Wirel. Sens. Syst. Colin Brennan, Graham W. Taylor, Petros Spachos
2018	B	`conf`	Distributed Sensor Network for Indirect Occupancy Measurement in Smart Buildings. IWCMC Colin Brennan, Graham W. Taylor, Petros Spachos
2018	—	`conf`	Generalized Hadamard-Product Fusion Operators for Visual Question Answering. CRV Brendan Duke, Graham W. Taylor
2018	J	`jnl`	Generalized Hadamard-Product Fusion Operators for Visual Question Answering. CoRR Brendan Duke, Graham W. Taylor
2018	A*	`conf`	Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points. CVPR Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor
2018	J	`jnl`	Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points. CoRR Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor
2018	J	`jnl`	Keep Drawing It: Iterative language-based image generation and editing. CoRR Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
2018	J	`jnl`	Learning Confidence for Out-of-Distribution Detection in Neural Networks. CoRR Terrance DeVries, Graham W. Taylor
2018	J	`jnl`	Leveraging Uncertainty Estimates for Predicting Segmentation Quality. CoRR Terrance DeVries, Graham W. Taylor
2018	J	`jnl`	Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data. CoRR Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer
2018	J	`jnl`	Predicting Adversarial Examples with High Confidence. CoRR Angus Galloway, Graham W. Taylor, Medhat Moussa
2018	—	`conf`	Quantitatively Evaluating GANs With Divergences Proposed for Training. ICLR (Poster) Daniel Jiwoong Im, He Ma, Graham W. Taylor, Kristin Branson
2018	J	`jnl`	Quantitatively Evaluating GANs With Divergences Proposed for Training. CoRR Daniel Jiwoong Im, He Ma, Graham W. Taylor, Kristin Branson
2018	—	`conf`	Real-Time End-to-End Action Detection with Two-Stream Networks. CRV Alaaeldin El-Nouby, Graham W. Taylor
2018	J	`jnl`	Real-Time End-to-End Action Detection with Two-Stream Networks. CoRR Alaaeldin El-Nouby, Graham W. Taylor
2018	A	`conf`	Self-Paced Learning with Adaptive Deep Visual Embeddings. BMVC Vithursan Thangarasa, Graham W. Taylor
2018	J	`jnl`	Self-Paced Learning with Adaptive Deep Visual Embeddings. CoRR Vithursan Thangarasa, Graham W. Taylor
2018	J	`jnl`	Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules. CoRR Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
2018	A	`conf`	Stochastic Layer-Wise Precision in Deep Neural Networks. UAI Griffin Lacey, Graham W. Taylor, Shawki Areibi
2018	J	`jnl`	Stochastic Layer-Wise Precision in Deep Neural Networks. CoRR Griffin Lacey, Graham W. Taylor, Shawki Areibi
2018	—	`conf`	Understanding anatomy classification through attentive response maps. ISBI Devinder Kumar, Vlado Menkovski, Graham W. Taylor, Alexander Wong
2017	J	`jnl`	An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning. CoRR Matthew Veres, Medhat A. Moussa, Graham W. Taylor
2017	J	`jnl`	Attacking Binarized Neural Networks. CoRR Angus Galloway, Graham W. Taylor, Medhat Moussa
2017	—	`conf`	Dataset Augmentation in Feature Space. ICLR (Workshop) Terrance DeVries, Graham W. Taylor
2017	J	`jnl`	Dataset Augmentation in Feature Space. CoRR Terrance DeVries, Graham W. Taylor
2017	J	`jnl`	Deep Multimodal Learning: A Survey on Recent Advances and Trends. IEEE Signal Process. Mag. Dhanesh Ramachandram, Graham W. Taylor
2017	J	`jnl`	Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. CoRR Devinder Kumar, Graham W. Taylor, Alexander Wong
2017	J	`jnl`	Domain Adaptation Using Representation Learning for the Classification of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ahmed Elshamli, Graham W. Taylor, Aaron Berg, Shawki Areibi
2017	—	`conf`	Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. CVPR Workshops Devinder Kumar, Alexander Wong, Graham W. Taylor
2017	J	`jnl`	Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. CoRR Devinder Kumar, Alexander Wong, Graham W. Taylor
2017	J	`jnl`	Hand pose estimation through semi-supervised and weakly-supervised learning. Comput. Vis. Image Underst. Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor
2017	J	`jnl`	Improved Regularization of Convolutional Neural Networks with Cutout. CoRR Terrance DeVries, Graham W. Taylor
2017	J	`jnl`	Modeling Grasp Motor Imagery Through Deep Conditional Generative Models. IEEE Robotics Autom. Lett. Matthew Veres, Medhat Moussa, Graham W. Taylor
2017	J	`jnl`	Modeling Grasp Motor Imagery through Deep Conditional Generative Models. CoRR Matthew Veres, Medhat Moussa, Graham W. Taylor
2017	B	`conf`	Modout: Learning Multi-Modal Architectures by Stochastic Regularization. FG Fan Li, Natalia Neverova, Christian Wolf, Graham W. Taylor
2017	J	`jnl`	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. CoRR Devinder Kumar, Graham W. Taylor, Alexander Wong
2017	J	`jnl`	Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels. CoRR Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor
2017	B	`conf`	Structure optimization for deep multimodal fusion networks using graph-induced kernels. ESANN Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor
2017	—	`conf`	The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment. CRV Angus Galloway, Graham W. Taylor, Aaron Ramsay, Medhat Moussa
2017	J	`jnl`	The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment. CoRR Angus Galloway, Graham W. Taylor, Aaron Ramsay, Medhat Moussa
2016	J	`jnl`	Automatic Moth Detection from Trap Images for Pest Management. CoRR Weiguang Ding, Graham W. Taylor
2016	J	`jnl`	Automatic moth detection from trap images for pest management. Comput. Electron. Agric. Weiguang Ding, Graham W. Taylor
2016	J	`jnl`	Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks. CoRR Roberto DiCecco, Griffin Lacey, Jasmina Vasiljevic, Paul Chow, Graham W. Taylor, Shawki Areibi
2016	—	`conf`	Caffeinated FPGAs: FPGA framework For Convolutional Neural Networks. FPT Roberto DiCecco, Griffin Lacey, Jasmina Vasiljevic, Paul Chow, Graham W. Taylor, Shawki Areibi
2016	J	`jnl`	Deep Learning on FPGAs: Past, Present, and Future. CoRR Griffin Lacey, Graham W. Taylor, Shawki Areibi
2016	J	`jnl`	Generative Adversarial Parallelization. CoRR Daniel Jiwoong Im, He Ma, Chris Dongjoo Kim, Graham W. Taylor
2016	J	`jnl`	Learning Human Identity From Motion Patterns. IEEE Access Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham W. Taylor
2016	B	`conf`	Learning a metric for class-conditional KNN. IJCNN Daniel Jiwoong Im, Graham W. Taylor
2016	J	`jnl`	Learning a metric for class-conditional KNN. CoRR Daniel Jiwoong Im, Graham W. Taylor
2016	J	`jnl`	ModDrop: Adaptive Multi-Modal Gesture Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout
2016	—	`conf`	Theano-MPI: A Theano-Based Distributed Training Framework. Euro-Par Workshops He Ma, Fei Mao, Graham W. Taylor
2016	J	`jnl`	Theano-MPI: a Theano-based Distributed Training Framework. CoRR He Ma, Fei Mao, Graham W. Taylor
2015	—	`conf`	An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity Patterns. ECML/PKDD (1) Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor
2015	—	`conf`	An Integrated System for Mapping Red Clover Ground Cover Using Unmanned Aerial Vehicles: A Case Study in Precision Agriculture. CRV Ammar M. Abuleil, Graham W. Taylor, Medhat Moussa
2015	—	`conf`	Deep Learning Architectures for Soil Property Prediction. CRV Matthew Veres, Griffin Lacey, Graham W. Taylor
2015	—	`conf`	Generative Class-conditional Autoencoders. ICLR (Workshop) Jan Rudy, Graham W. Taylor
2015	J	`jnl`	Hand Pose Estimation through Weakly-Supervised Learning of a Rich Intermediate Representation. CoRR Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor
2015	J	`jnl`	Learning Human Identity from Motion Patterns. CoRR Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham W. Taylor
2015	J	`jnl`	Learning with hidden variables. CoRR Yasser Roudi, Graham W. Taylor
2015	J	`jnl`	ModDrop: adaptive multi-modal gesture recognition. CoRR Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout
2015	—	`conf`	Scoring and Classifying with Gated Auto-Encoders. ECML/PKDD (1) Daniel Jiwoong Im, Graham W. Taylor
2015	J	`jnl`	Semisupervised Hyperspectral Image Classification via Neighborhood Graph Learning. IEEE Geosci. Remote. Sens. Lett. Daniel Jiwoong Im, Graham W. Taylor
2015	—	`conf`	Theano-based Large-Scale Visual Recognition with Multiple GPUs. ICLR (Workshop) Weiguang Ding, Ruoyan Wang, Fei Mao, Graham W. Taylor
2015	—	`conf`	Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics. ICLR (Workshop) Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor
2014	J	`jnl`	"Mental Rotation" by Optimizing Transforming Distance. CoRR Weiguang Ding, Graham W. Taylor
2014	—	`conf`	Hand Segmentation with Structured Convolutional Learning. ACCV (3) Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout
2014	J	`jnl`	Human body part estimation from depth images via spatially-constrained deep learning. Pattern Recognit. Lett. Mingyuan Jiu, Christian Wolf, Graham W. Taylor, Atilla Baskurt
2014	—	`conf`	Learning Human Pose Estimation Features with Convolutional Networks. ICLR (Poster) Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham W. Taylor, Christoph Bregler
2014	—	`conf`	Multi-scale Deep Learning for Gesture Detection and Localization. ECCV Workshops (1) Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout
2014	—	`conf`	Multi-task Learning of Facial Landmarks and Expression. CRV Terrance DeVries, Kumar Biswaranjan, Graham W. Taylor
2014	J	`jnl`	Neural Network Regularization via Robust Weight Factorization. CoRR Jan Rudy, Weiguang Ding, Daniel Jiwoong Im, Graham W. Taylor
2014	J	`jnl`	Scoring and Classifying with Gated Auto-encoders. CoRR Daniel Jiwoong Im, Graham W. Taylor
2013	—	`conf`	A Multi-scale Approach to Gesture Detection and Recognition. ICCV Workshops Natalia Neverova, Christian Wolf, Giulio Paci, Giacomo Sommavilla, Graham W. Taylor, Florian Nebout
2012	—	`conf`	3D skeletal reconstruction from low-resolution multi-view images. CVPR Workshops Mayank Rana, Graham W. Taylor, Ian Spiro, Christoph Bregler
2012	J	`jnl`	Analysis of the IJCNN 2011 UTL challenge. Neural Networks Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha
2012	—	`conf`	ICML2011 Unsupervised and Transfer Learning Workshop. ICML Unsupervised and Transfer Learning Daniel L. Silver, Isabelle Guyon, Graham W. Taylor, Gideon Dror, Vincent Lemaire
2012	J	`jnl`	Products of Hidden Markov Models: It Takes N>1 to Tango CoRR Graham W. Taylor, Geoffrey E. Hinton
2012	—	`ed.`	Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011 ICML Unsupervised and Transfer Learning Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, Daniel L. Silver
2011	A*	`conf`	Adaptive deconvolutional networks for mid and high level feature learning. ICCV Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
2011	—	`conf`	Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. NIPS Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain A. Matthews, Rob Fergus
2011	A*	`conf`	Learning invariance through imitation. CVPR Graham W. Taylor, Ian Spiro, Christoph Bregler, Rob Fergus
2011	J	`jnl`	Two Distributed-State Models For Generating High-Dimensional Time Series. J. Mach. Learn. Res. Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
2011	B	`conf`	Unsupervised and transfer learning challenge. IJCNN Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha
2010	B	`conf`	Body Motion Analysis for Multi-modal Identity Verification. ICPR George Williams, Graham W. Taylor, Kirill Smolskiy, Christoph Bregler
2010	—	`—`	Composable, Distributed-state Models for High-dimensional Time Series. Graham W. Taylor
2010	—	`conf`	Convolutional Learning of Spatio-temporal Features. ECCV (6) Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler
2010	A*	`conf`	Deconvolutional networks. CVPR Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus
2010	A*	`conf`	Dynamical binary latent variable models for 3D human pose tracking. CVPR Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton
2010	—	`conf`	Pose-Sensitive Embedding by Nonlinear NCA Regression. NIPS Graham W. Taylor, Rob Fergus, George Williams, Ian Spiro, Christoph Bregler
2009	A*	`conf`	Factored conditional restricted Boltzmann Machines for modeling motion style. ICML Graham W. Taylor, Geoffrey E. Hinton
2009	B	`conf`	Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. ESANN Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton
2009	A	`conf`	Products of Hidden Markov Models: It Takes N>1 to Tango. UAI Graham W. Taylor, Geoffrey E. Hinton
2008	Misc	`conf`	Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources. ICASSP Graham W. Taylor, Michael L. Seltzer, Alex Acero
2008	—	`conf`	The Recurrent Temporal Restricted Boltzmann Machine. NIPS Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor
2006	—	`conf`	Modeling Human Motion Using Binary Latent Variables. NIPS Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
2006	J	`jnl`	Reinforced Contrast Adaptation. Int. J. Image Graph. Hamid R. Tizhoosh, Graham W. Taylor
2004	—	`conf`	A Reinforcement Learning Framework for Parameter Control in Computer Vision Applications. CRV Graham W. Taylor