Harkirat S. Behl

18 papers A* 6A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Phi-4-reasoning Technical Report. CoRR Marah I Abdin, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat S. Behl, Lingjiao Chen, Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
2025	J	`jnl`	Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning. CoRR Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat S. Behl, Dimitris Papailiopoulos
2024	A*	`conf`	Peekaboo: Interactive Video Generation via Masked-Diffusion. CVPR Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl
2024	J	`jnl`	Phi-4 Technical Report. CoRR Marah I Abdin, Jyoti Aneja, Harkirat S. Behl, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Michael Harrison, Russell J. Hewett, Mojan Javaheripi, Piero Kauffmann, James R. Lee, Yin Tat Lee, Yuanzhi Li, Weishung Liu, Caio C. T. Mendes, Anh Nguyen, Eric Price, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Xin Wang, Rachel Ward, Yue Wu, Dingli Yu, Cyril Zhang, Yi Zhang
2023	A*	`conf`	DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. NeurIPS Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
2023	J	`jnl`	DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. CoRR Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
2023	A*	`conf`	Efficiently Robustify Pre-Trained Models. ICCV Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet
2023	J	`jnl`	Efficiently Robustify Pre-trained Models. CoRR Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet
2023	J	`jnl`	PEEKABOO: Interactive Video Generation via Masked-Diffusion. CoRR Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl
2022	—	`conf`	Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	Neural-Sim: Learning to Generate Training Data with NeRF. CoRR Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2021	—	`—`	Automated and verified deep learning. Harkirat S. Behl
2021	A*	`conf`	Progressive Skeletonization: Trimming more fat from a network at initialization. ICLR Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania
2021	A*	`conf`	Scaling the Convex Barrier with Active Sets. ICLR Alessandro De Palma, Harkirat S. Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar
2020	J	`jnl`	Progressive Skeletonization: Trimming more fat from a network at initialization. CoRR Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania
2020	A*	`conf`	STEER : Simple Temporal Regularization For Neural ODE. NeurIPS Arnab Ghosh, Harkirat S. Behl, Emilien Dupont, Philip H. S. Torr, Vinay P. Namboodiri
2018	A	`conf`	Incremental Tube Construction for Human Action Detection. BMVC Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr
2017	J	`jnl`	Incremental Tube Construction for Human Action Detection. CoRR Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr