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Graham W. Taylor

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Papers (36)

  1. Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives cs.ET · 2026 · author #7
  2. Image Classification with Hierarchical Multigraph Networks cs.CV · 2019 · author #4
  3. Batch Normalization is a Cause of Adversarial Vulnerability cs.LG · 2019 · author #5
  4. SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells cs.CV · 2019 · author #4
  5. Adversarial Examples as an Input-Fault Tolerance Problem cs.LG · 2018 · author #3
  6. Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules cs.LG · 2018 · author #4
  7. Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data cs.CV · 2018 · author #2
  8. Self-Paced Learning with Adaptive Deep Visual Embeddings cs.LG · 2018 · author #2
  9. Stochastic Layer-Wise Precision in Deep Neural Networks cs.LG · 2018 · author #2
  10. Leveraging Uncertainty Estimates for Predicting Segmentation Quality cs.CV · 2018 · author #2
  11. Adversarial Training Versus Weight Decay cs.LG · 2018 · author #3
  12. Deep Learning Object Detection Methods for Ecological Camera Trap Data cs.CV · 2018 · author #2
  13. Generalized Hadamard-Product Fusion Operators for Visual Question Answering cs.LG · 2018 · author #2
  14. Real-Time End-to-End Action Detection with Two-Stream Networks cs.CV · 2018 · author #2
  15. Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points cs.CV · 2018 · author #4
  16. Learning Confidence for Out-of-Distribution Detection in Neural Networks stat.ML · 2018 · author #2
  17. Predicting Adversarial Examples with High Confidence cs.LG · 2018 · author #2
  18. Attacking Binarized Neural Networks cs.LG · 2017 · author #2
  19. Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy cs.AI · 2017 · author #2
  20. Improved Regularization of Convolutional Neural Networks with Cutout cs.CV · 2017 · author #2
  21. Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels cs.NE · 2017 · author #5
  22. Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks cs.CV · 2017 · author #3
  23. The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment cs.CV · 2017 · author #2
  24. Dataset Augmentation in Feature Space stat.ML · 2017 · author #2
  25. An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning cs.RO · 2017 · author #3
  26. Modeling Grasp Motor Imagery through Deep Conditional Generative Models cs.RO · 2017 · author #3
  27. Understanding Anatomy Classification Through Attentive Response Maps cs.CV · 2016 · author #3
  28. Learning a metric for class-conditional KNN cs.LG · 2016 · author #2
  29. Theano-MPI: a Theano-based Distributed Training Framework cs.LG · 2016 · author #3
  30. Deep Learning on FPGAs: Past, Present, and Future cs.DC · 2016 · author #2
  31. ModDrop: adaptive multi-modal gesture recognition cs.CV · 2014 · author #3
  32. Neural Network Regularization via Robust Weight Factorization cs.LG · 2014 · author #4
  33. Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics cs.LG · 2014 · author #3
  34. Scoring and Classifying with Gated Auto-encoders cs.LG · 2014 · author #2
  35. "Mental Rotation" by Optimizing Transforming Distance cs.LG · 2014 · author #2
  36. Learning Human Pose Estimation Features with Convolutional Networks cs.CV · 2013 · author #4

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