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ORCIDIgor Fedorov
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2020 – today
- 2024
[c22]Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov:
DεpS: Delayed ε-Shrinking for Faster Once-for-All Training. ECCV (89) 2024: 315-331- [c21]Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra:
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. ICML 2024 - [c20]Hua Zheng
, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen:
SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape. KDD 2024: 4536-4547 - [c19]Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen:
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. WWW (Companion Volume) 2024: 73-82 - [i21]Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra:
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. CoRR abs/2402.14905 (2024) - [i20]Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort:
SpinQuant: LLM quantization with learned rotations. CoRR abs/2405.16406 (2024) - [i19]Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov:
DεS: Delayed ε-Shrinking for Faster Once-For-All Training. CoRR abs/2407.06167 (2024) - 2023
- [c18]Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama:
Efficient Edge Inference by Selective Query. ICLR 2023 - [i18]Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough:
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR abs/2301.10999 (2023) - [i17]Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. CoRR abs/2311.00231 (2023) - [i16]Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen:
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. CoRR abs/2311.08430 (2023) - [i15]Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen:
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape. CoRR abs/2311.13169 (2023) - 2022
- [j7]Konstantin V. Zhukovsky, Igor Fedorov:
Beam Asymmetry, Divergence and Energy Spread Effects on the Radiation from Planar Undulators. Symmetry 14(7): 1353 (2022) - [c17]Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough:
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units. NeurIPS 2022 - [c16]Nikita Kuzmin, Igor Fedorov, Alexey Sholokhov:
Magnitude-Aware Probabilistic Speaker Embeddings. Odyssey 2022: 1-8 - [i14]Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough:
UDC: Unified DNAS for Compressible TinyML Models. CoRR abs/2201.05842 (2022) - [i13]Nikita Kuzmin, Igor Fedorov, Alexey Sholokhov:
Magnitude-aware Probabilistic Speaker Embeddings. CoRR abs/2202.13826 (2022) - [i12]Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh:
Restructurable Activation Networks. CoRR abs/2208.08562 (2022) - 2021
- [j6]Urmish Thakker, Igor Fedorov, Chu Zhou, Dibakar Gope, Matthew Mattina, Ganesh Dasika, Jesse G. Beu:
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products. ACM J. Emerg. Technol. Comput. Syst. 17(4): 46:1-46:18 (2021) - [j5]Hiba H. Alqaysi, Igor Fedorov, Faisal Z. Qureshi, Mattias O'Nils:
A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms. J. Imaging 7(11): 227 (2021) - [j4]Konstantin V. Zhukovsky, Igor Fedorov:
Spontaneous and Stimulated Undulator Radiation in Symmetric and Asymmetric Multi-Periodic Magnetic Fields. Symmetry 13(1): 135 (2021) - [j3]Igor Fedorov, Benny Thörnberg, Hiba H. Alqaysi, Najeem Lawal, Mattias O'Nils:
A Two-Layer 3-D Reconstruction Method and Calibration for Multicamera-Based Volumetric Positioning and Characterization. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [c15]Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough:
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. MLSys 2021 - 2020
- [c14]Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava:
Mango: A Python Library for Parallel Hyperparameter Tuning. ICASSP 2020: 3987-3991 - [c13]Ching Hua Lee, Igor Fedorov, Bhaskar D. Rao, Harinath Garudadri:
SSGD: Sparsity-Promoting Stochastic Gradient Descent Algorithm for Unbiased Dnn Pruning. ICASSP 2020: 5410-5414 - [c12]Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough:
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. INTERSPEECH 2020: 4054-4058 - [i11]Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough:
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. CoRR abs/2005.11138 (2020) - [i10]Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava:
MANGO: A Python Library for Parallel Hyperparameter Tuning. CoRR abs/2005.11394 (2020) - [i9]Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough:
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. CoRR abs/2010.11267 (2020)
2010 – 2019
- 2019
- [c11]Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Benny Thörnberg, Mattias O'Nils:
Design Exploration of Multi-Camera Dome. ICDSC 2019: 7:1-7:6 - [c10]Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina:
Pushing the limits of RNN Compression. EMC2@NeurIPS 2019: 18-21 - [c9]Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough:
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers. NeurIPS 2019: 4978-4990 - [i8]Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough:
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers. CoRR abs/1905.12107 (2019) - [i7]Urmish Thakker, Jesse G. Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina:
Compressing RNNs for IoT devices by 15-38x using Kronecker Products. CoRR abs/1906.02876 (2019) - [i6]Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina:
Pushing the limits of RNN Compression. CoRR abs/1910.02558 (2019) - 2018
- [b1]Igor Fedorov:
Structured Learning with Scale Mixture Priors. University of California, San Diego, USA, 2018 - [j2]Igor Fedorov, Alican Nalci, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, Harinath Garudadri:
A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem. Signal Process. 146: 79-91 (2018) - [j1]Alican Nalci, Igor Fedorov, Maher Al-Shoukairi, Thomas T. Liu, Bhaskar D. Rao:
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. IEEE Trans. Signal Process. 66(12): 3124-3139 (2018) - [c8]Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Mattias O'Nils:
Full Coverage Optimization for Multi Camera Dome Placement in Volumetric Monitoring. ICDSC 2018: 2:1-2:5 - [c7]Igor Fedorov, Najeem Lawal, Benny Thörnberg, Hiba H. Alqaysi, Mattias O'Nils:
Towards calibration of outdoor multi-camera visual monitoring system. ICDSC 2018: 17:1-17:6 - [i5]Igor Fedorov, Bhaskar D. Rao:
Re-Weighted Learning for Sparsifying Deep Neural Networks. CoRR abs/1802.01616 (2018) - [i4]Igor Fedorov, Bhaskar D. Rao:
Multimodal Sparse Bayesian Dictionary Learning. CoRR abs/1804.03740 (2018) - 2017
- [c6]Igor Fedorov, Sebastian Obrzut, Bongyong Song, Bhaskar D. Rao:
Spect image reconstruction under imaging time constraints. ACSSC 2017: 1590-1594 - [c5]Igor Fedorov, Bhaskar D. Rao, Truong Q. Nguyen:
Multimodal sparse Bayesian dictionary learning applied to multimodal data classification. ICASSP 2017: 2237-2241 - [c4]Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Mattias O'Nils:
Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric Surveillance. ICDSC 2017: 49-54 - [c3]Igor Fedorov, Najeem Lawal, Mattias O'Nils, Hiba H. Alqaysi:
Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring. ICDSC 2017: 113-118 - [i3]Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen:
Relevance Subject Machine: A Novel Person Re-identification Framework. CoRR abs/1703.10645 (2017) - 2016
- [c2]Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen:
Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition. ICIP 2016: 3872-3876 - [i2]Alican Nalci, Igor Fedorov, Bhaskar D. Rao:
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. CoRR abs/1601.06207 (2016) - [i1]Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen:
Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition. CoRR abs/1605.02057 (2016) - 2011
- [c1]Pradeep S. Shenoy, Igor Fedorov, Tyler Neyens, Philip T. Krein:
Power delivery for series connected voltage domains in digital circuits. ICEAC 2011: 1-6
Coauthor Index
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