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2020 – today
- 2024
[j1]Chiao-Yi Wang
, Guru Nandhan Appiya Dilipkumar Peethambari, Yi-Ting Shen, Wei-Yu Chen, Sandip Sharan Senthil Kumar, Alexander Long, Alan Williams, Gudjon Magnusson, Allen Pattillo, Don Webster, Matthew Gray, Miao Yu, Yang Tao:
ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning. IEEE Access 12: 177829-177843 (2024)- [c7]Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey:
A sampling theory perspective on activations for implicit neural representations. ICML 2024 - [c6]Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel:
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. WACV 2024: 8031-8040 - [i4]Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey:
A Sampling Theory Perspective on Activations for Implicit Neural Representations. CoRR abs/2402.05427 (2024) - [i3]Alexander Long:
Protocol Learning, Decentralized Frontier Risk and the No-Off Problem. CoRR abs/2412.07890 (2024) - 2022
- [b1]Alexander Long:
External Nonparametric Memory in Deep Learning. University of New South Wales, Sydney, Australia, 2022 - [c5]Alexander Long, Alan Blair, Herke van Hoof:
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation. AAAI 2022: 7620-7627 - [c4]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CVPR 2022: 6949-6959 - [i2]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CoRR abs/2202.11233 (2022) - [i1]Alexander Long, Alan Blair, Herke van Hoof:
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation. CoRR abs/2203.03078 (2022) - 2021
- [c3]Jayant Gupta, Alexander Long, Corey Kewei Xu, Tian Tang, Shashi Shekhar:
Spatial Dimensions of Algorithmic Transparency: A Summary. SSTD 2021: 116-125
2010 – 2019
- 2014
- [c2]Robert Gove, Joshua Saxe, Sigfried Gold, Alexander Long, Giacomo Bergamo:
SEEM: a scalable visualization for comparing multiple large sets of attributes for malware analysis. VizSEC 2014: 72-79 - [c1]Alexander Long, Joshua Saxe, Robert Gove:
Detecting malware samples with similar image sets. VizSEC 2014: 88-95
Coauthor Index
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