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Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories.

F. Poms, V. Sarukkai, R. Mullapudi, N. Sohoni, W. Mark, D. Ramanan, and K. Fatahalian. ICCV, page 10685-10694. IEEE, (2021)

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Slang: Language Mechanisms for Extensible Real-time Shading SystemsY. He, K. Fatahalian, and T. Foley. ACM Trans. Graph., 37 (4): 141:1--141:13 (July 2018)Design Adjectives: A Framework for Interactive Model-Guided Exploration of Parameterized Design Spaces.E. Shimizu, M. Fisher, S. Paris, J. McCann, and K. Fatahalian. UIST, page 261-278. ACM, (2020)Learning Subject-Aware Cropping by Outpainting Professional Photos.J. Hong, L. Yuan, M. Gharbi, M. Fisher, and K. Fatahalian. AAAI, page 2175-2183. AAAI Press, (2024)Space-time hierarchical occlusion culling for micropolygon rendering with motion blur.S. Boulos, E. Luong, K. Fatahalian, H. Moreton, and P. Hanrahan. High Performance Graphics, page 11-18. Eurographics Association, (2010)Overview: making sense of GPU architectures.K. Fatahalian. SIGGRAPH Classes, page 10:1-10:13. ACM, (2008)Creating an Agile Hardware Design Flow.R. Bahr, C. Barrett, N. Bhagdikar, A. Carsello, R. Daly, C. Donovick, D. Durst, K. Fatahalian, K. Feng, P. Hanrahan and 22 other author(s). DAC, page 1-6. IEEE, (2020)Learning Rare Category Classifiers on a Tight Labeling Budget.R. Mullapudi, F. Poms, W. Mark, D. Ramanan, and K. Fatahalian. ICCV, page 8403-8412. IEEE, (2021)Efficient BVH Construction via Approximate Agglomerative Clustering.Y. Gu, Y. He, K. Fatahalian, and G. Blelloch. High Performance Graphics, page 81-88. ACM, (2013)Beyond programmable shading: fundamentals.A. Lefohn, M. Houston, C. Boyd, K. Fatahalian, T. Forsyth, D. Luebke, and J. Owens. SIGGRAPH Classes, page 9:1-9:21. ACM, (2008)Multi-Resolution Weak Supervision for Sequential Data.P. Varma, F. Sala, S. Sagawa, J. Fries, D. Fu, S. Khattar, A. Ramamoorthy, K. Xiao, K. Fatahalian, J. Priest and 1 other author(s). NeurIPS, page 192-203. (2019)

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Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories.

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Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories.