Harkirat S. Behl

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Simple Temporal

Technical Report

Top Venues

Publications

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 (2024)
Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet
Efficiently Robustify Pre-trained Models. CoRR (2023)
Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. CoRR (2023)
Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl
PEEKABOO: Interactive Video Generation via Masked-Diffusion. CoRR (2023)
Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet
Efficiently Robustify Pre-Trained Models. ICCV (2023)
Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. NeurIPS (2023)
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 (2022)
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)
Alessandro De Palma, Harkirat S. Behl, Rudy R. Bunel, Philip H. S. Torr, M. Pawan Kumar
Scaling the Convex Barrier with Active Sets. ICLR (2021)
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)
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 (2020)
Arnab Ghosh, Harkirat S. Behl, Emilien Dupont, Philip H. S. Torr, Vinay Namboodiri
STEER : Simple Temporal Regularization For Neural ODE. NeurIPS (2020)
Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr
Incremental Tube Construction for Human Action Detection. BMVC (2018)
Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr
Incremental Tube Construction for Human Action Detection. CoRR (2017)