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Hamid Dadkhahi
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2020 – today
- 2024
- [i11]Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn:
Don't Throw Away Data: Better Sequence Knowledge Distillation. CoRR abs/2407.10456 (2024) - [i10]Lily H. Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag:
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations. CoRR abs/2410.16509 (2024) - 2023
- [c10]Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani:
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. NeurIPS 2023 - [i9]Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani:
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. CoRR abs/2312.06134 (2023) - 2022
- [c9]Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das:
Fourier Representations for Black-Box Optimization over Categorical Variables. AAAI 2022: 10156-10165 - [i8]Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das:
Fourier Representations for Black-Box Optimization over Categorical Variables. CoRR abs/2202.03712 (2022) - 2020
- [c8]Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan:
Combinatorial Black-Box Optimization with Expert Advice. KDD 2020: 1918-1927 - [i7]Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan:
Combinatorial Black-Box Optimization with Expert Advice. CoRR abs/2006.03963 (2020)
2010 – 2019
- 2018
- [i6]Hamid Dadkhahi, Sahand Negahban:
Alternating Linear Bandits for Online Matrix-Factorization Recommendation. CoRR abs/1810.09401 (2018) - 2017
- [j3]Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin:
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series. IEEE Trans. Image Process. 26(11): 5435-5446 (2017) - [c7]Hamid Dadkhahi, Benjamin M. Marlin:
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices. KDD 2017: 1773-1781 - 2016
- [j2]Hamid Dadkhahi, Marco F. Duarte:
Masking Strategies for Image Manifolds. IEEE Trans. Image Process. 25(9): 4314-4328 (2016) - [i5]Hamid Dadkhahi, Marco F. Duarte:
Masking Strategies for Image Manifolds. CoRR abs/1606.04618 (2016) - [i4]Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin:
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series. CoRR abs/1606.08282 (2016) - [i3]Hamid Dadkhahi, Nazir Saleheen, Santosh Kumar, Benjamin M. Marlin:
Learning Shallow Detection Cascades for Wearable Sensor-Based Mobile Health Applications. CoRR abs/1607.03730 (2016) - [i2]Hamid Dadkhahi, Benjamin M. Marlin:
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices. CoRR abs/1608.00159 (2016) - 2015
- [c6]Hamid Dadkhahi, Marco F. Duarte:
Image masking schemes for local manifold learning methods. ICASSP 2015: 5768-5772 - [c5]Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin:
Isomap out-of-sample extension for noisy time series data. MLSP 2015: 1-6 - 2014
- [c4]Hamid Dadkhahi, Marco F. Duarte:
Masking schemes for image manifolds. SSP 2014: 252-255 - 2013
- [c3]Karsten Fyhn, Hamid Dadkhahi, Marco F. Duarte:
Spectral compressive sensing with polar interpolation. ICASSP 2013: 6225-6229 - [i1]Karsten Fyhn, Hamid Dadkhahi, Marco F. Duarte:
Spectral Compressive Sensing with Polar Interpolation. CoRR abs/1303.2799 (2013) - 2012
- [j1]Hamid Dadkhahi, Atanas P. Gotchev, Karen O. Egiazarian:
Inverse polynomial reconstruction method in DCT domain. EURASIP J. Adv. Signal Process. 2012: 133 (2012) - [c2]Hamid Dadkhahi, Terence Chan, Ingmar Land:
Coding for multiple packets in erasure networks. AusCTW 2012: 114-119 - [c1]Hamid Dadkhahi, Terence Chan, Ingmar Land:
Multiple-packet coding in block fading channels. ISCIT 2012: 76-81
Coauthor Index
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last updated on 2024-11-27 20:33 CET by the dblp team
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