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ORCIDHarkirat S. Behl
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2020 – today
- 2024
[j1]Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar:
Scaling the Convex Barrier with Sparse Dual Algorithms. J. Mach. Learn. Res. 25: 61:1-61:51 (2024)- [c11]Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl:
Peekaboo: Interactive Video Generation via Masked-Diffusion. CVPR 2024: 8079-8088 - [i13]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - 2023
- [c10]Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet:
Efficiently Robustify Pre-Trained Models. ICCV 2023: 5482-5492 - [c9]Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet:
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. NeurIPS 2023 - [i12]Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li:
Textbooks Are All You Need. CoRR abs/2306.11644 (2023) - [i11]Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet:
Efficiently Robustify Pre-trained Models. CoRR abs/2309.07499 (2023) - [i10]Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet:
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. CoRR abs/2311.04894 (2023) - [i9]Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl:
PEEKABOO: Interactive Video Generation via Masked-Diffusion. CoRR abs/2312.07509 (2023) - 2022
- [c8]Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet:
Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) 2022: 477-493 - [i8]Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet:
Neural-Sim: Learning to Generate Training Data with NeRF. CoRR abs/2207.11368 (2022) - 2021
- [b1]Harkirat S. Behl:
Automated and verified deep learning. University of Oxford, UK, 2021 - [c7]Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania:
Progressive Skeletonization: Trimming more fat from a network at initialization. ICLR 2021 - [c6]Alessandro De Palma, Harkirat S. Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar:
Scaling the Convex Barrier with Active Sets. ICLR 2021 - [c5]Harkirat Singh Behl, M. Pawan Kumar, Philip H. S. Torr, Krishnamurthy Dvijotham:
Overcoming the Convex Barrier for Simplex Inputs. NeurIPS 2021: 4871-4882 - [i7]Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar:
Scaling the Convex Barrier with Sparse Dual Algorithms. CoRR abs/2101.05844 (2021) - 2020
- [c4]Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet:
AutoSimulate: (Quickly) Learning Synthetic Data Generation. ECCV (22) 2020: 255-271 - [c3]Harkirat Singh Behl, Mohammad Najafi, Anurag Arnab, Philip H. S. Torr:
Meta-Learning Deep Visual Words for Fast Video Object Segmentation. IROS 2020: 8484-8491 - [c2]Arnab Ghosh, Harkirat S. Behl, Emilien Dupont, Philip H. S. Torr, Vinay P. Namboodiri:
STEER : Simple Temporal Regularization For Neural ODE. NeurIPS 2020 - [i6]Pau de Jorge, Amartya Sanyal
, Harkirat S. Behl, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania:
Progressive Skeletonization: Trimming more fat from a network at initialization. CoRR abs/2006.09081 (2020) - [i5]Arnab Ghosh, Harkirat Singh Behl, Emilien Dupont, Philip H. S. Torr, Vinay P. Namboodiri:
STEER : Simple Temporal Regularization For Neural ODEs. CoRR abs/2006.10711 (2020) - [i4]Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet:
AutoSimulate: (Quickly) Learning Synthetic Data Generation. CoRR abs/2008.08424 (2020)
2010 – 2019
- 2019
- [i3]Harkirat Singh Behl, Atilim Günes Baydin, Philip H. S. Torr:
Alpha MAML: Adaptive Model-Agnostic Meta-Learning. CoRR abs/1905.07435 (2019) - 2018
- [c1]Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr:
Incremental Tube Construction for Human Action Detection. BMVC 2018: 60 - [i2]Harkirat Singh Behl, Mohammad Najafi, Philip H. S. Torr:
Meta Learning Deep Visual Words for Fast Video Object Segmentation. CoRR abs/1812.01397 (2018) - 2017
- [i1]Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr:
Incremental Tube Construction for Human Action Detection. CoRR abs/1704.01358 (2017)
Coauthor Index
aka: Philip H. S. Torr
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last updated on 2024-10-04 21:03 CEST by the dblp team
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