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ORCIDRafid Mahmood
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2020 – today
- 2024
[c9]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. EMNLP 2024: 17028-17047- [c8]Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler:
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. ICLR 2024 - [i14]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? CoRR abs/2404.06510 (2024) - [i13]Feiyang Kang, Yifan Sun, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia:
AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs. CoRR abs/2407.20177 (2024) - [i12]Christopher Klugmann, Rafid Mahmood, Guruprasad Hegde, Amit Kale, Daniel Kondermann:
No Need to Sacrifice Data Quality for Quantity: Crowd-Informed Machine Annotation for Cost-Effective Understanding of Visual Data. CoRR abs/2409.00048 (2024) - [i11]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. CoRR abs/2409.09788 (2024) - 2023
- [j6]Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023) - [i10]Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR abs/2302.04832 (2023) - 2022
- [c7]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c6]Rafid Mahmood, Sanja Fidler, Marc T. Law:
Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach. ICLR 2022 - [c5]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. NeurIPS 2022 - [i9]Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor Gabriel Leandro Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas S., Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR abs/2202.08303 (2022) - [i8]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i7]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. CoRR abs/2210.01234 (2022) - 2021
- [j5]Aaron Babier
, Timothy C. Y. Chan, Taewoo Lee, Rafid Mahmood, Daria Terekhov:
An Ensemble Learning Framework for Model Fitting and Evaluation in Inverse Linear Optimization. INFORMS J. Optim. 3(2): 119-138 (2021) - [i6]Rafid Mahmood, Sanja Fidler, Marc T. Law:
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach. CoRR abs/2106.02968 (2021) - 2020
- [j4]Matthew G. Crowson, Jong Wook Lee, Amr Hamour, Rafid Mahmood, Aaron Babier, Vincent Lin, Debara L. Tucci, Timothy C. Y. Chan:
AutoAudio: Deep Learning for Automatic Audiogram Interpretation. J. Medical Syst. 44(9): 163 (2020) - [j3]Timothy C. Y. Chan, Adam Diamant, Rafid Mahmood:
Sampling from the complement of a polyhedron: An MCMC algorithm for data augmentation. Oper. Res. Lett. 48(6): 744-751 (2020) - [i5]Aaron Babier, Binghao Zhang, Rafid Mahmood, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
OpenKBP: The open-access knowledge-based planning grand challenge. CoRR abs/2011.14076 (2020)
2010 – 2019
- 2019
- [i4]Aaron Babier, Rafid Mahmood, Andrea L. McNiven, Adam Diamant, Timothy C. Y. Chan:
The importance of evaluating the complete automated knowledge-based planning pipeline. CoRR abs/1910.14257 (2019) - 2018
- [j2]Rafid Mahmood, Ahmed Badr, Ashish Khisti:
Streaming Codes for Multiplicative-Matrix Channels With Burst Rank Loss. IEEE Trans. Inf. Theory 64(7): 5296-5311 (2018) - [c4]Rafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan:
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks. MLHC 2018: 484-499 - [i3]Rafid Mahmood, Aaron Babier, Adam Diamant, Timothy C. Y. Chan:
Interior Point Methods with Adversarial Networks. CoRR abs/1805.09293 (2018) - [i2]Rafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan:
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks. CoRR abs/1807.06489 (2018) - 2016
- [j1]Rafid Mahmood, Ahmed Badr, Ashish Khisti:
Convolutional Codes With Maximum Column Sum Rank for Network Streaming. IEEE Trans. Inf. Theory 62(6): 3039-3052 (2016) - [c3]Rafid Mahmood, Ahmed Badr, Ashish Khisti:
Low delay network streaming under burst losses. ISIT 2016: 2898-2902 - 2015
- [c2]Rafid Mahmood, Ahmed Badr, Ashish Khisti:
Convolutional codes with maximum column sum rank for network streaming. ISIT 2015: 2271-2275 - [c1]Ahmed Badr, Rafid Mahmood, Ashish Khisti:
Embedded MDS codes for multicast streaming. ISIT 2015: 2276-2280 - [i1]Rafid Mahmood, Ahmed Badr, Ashish Khisti:
Convolutional Codes with Maximum Column Sum Rank for Network Streaming. CoRR abs/1506.03792 (2015)
Coauthor Index
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last updated on 2024-11-15 20:36 CET by the dblp team
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