Incremental Tube Construction for Human Action Detection. - Harkirat S. Behl; Michael Sapienza; Gurkirt Singh; Suman Saha 001; Fabio Cuzzolin; Philip H. S. Torr (BMVC, 2018)

Meta Learning Deep Visual Words for Fast Video Object Segmentation. - Harkirat Singh Behl; Mohammad Najafi; Philip H. S. Torr (CoRR, 2018)

Alpha MAML: Adaptive Model-Agnostic Meta-Learning. - Harkirat Singh Behl; Atilim Günes Baydin; Philip H. S. Torr (CoRR, 2019)

AutoSimulate: (Quickly) Learning Synthetic Data Generation. - Harkirat Singh Behl; Atilim Günes Baydin; Ran Gal; Philip H. S. Torr; Vibhav Vineet (ECCV (22), 2020)

Meta-Learning Deep Visual Words for Fast Video Object Segmentation. - Harkirat Singh Behl; Mohammad Najafi; Anurag Arnab; Philip H. S. Torr (IROS, 2020)

STEER : Simple Temporal Regularization For Neural ODE. - Arnab Ghosh; Harkirat S. Behl; Emilien Dupont; Philip H. S. Torr; Vinay P. Namboodiri (NeurIPS, 2020)

STEER : Simple Temporal Regularization For Neural ODEs. - Arnab Ghosh; Harkirat Singh Behl; Emilien Dupont; Philip H. S. Torr; Vinay P. Namboodiri (CoRR, 2020)

Progressive Skeletonization: Trimming more fat from a network at initialization. - Pau de Jorge; Amartya Sanyal; Harkirat S. Behl; Philip H. S. Torr; Grégory Rogez; Puneet K. Dokania (ICLR, 2021)

Scaling the Convex Barrier with Active Sets. - Alessandro De Palma; Harkirat S. Behl; Rudy Bunel; Philip H. S. Torr; M. Pawan Kumar (ICLR, 2021)

Overcoming the Convex Barrier for Simplex Inputs. - Harkirat Singh Behl; M. Pawan Kumar; Philip H. S. Torr; Krishnamurthy Dvijotham (NeurIPS, 2021)

Automated and verified deep learning. - Harkirat S. Behl (2021)

Neural-Sim: Learning to Generate Training Data with NeRF. - Yunhao Ge; Harkirat S. Behl; Jiashu Xu; Suriya Gunasekar; Neel Joshi; Yale Song; Xin Wang 066; Laurent Itti; Vibhav Vineet (ECCV (23), 2022)

Efficiently Robustify Pre-Trained Models. - Nishant Jain; Harkirat S. Behl; Yogesh Singh Rawat; Vibhav Vineet (ICCV, 2023)

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. - Yash Jain; Harkirat S. Behl; Zsolt Kira; Vibhav Vineet (NeurIPS, 2023)

Textbooks Are All You Need. - Suriya Gunasekar; Yi Zhang 001; Jyoti Aneja; Caio César Teodoro Mendes; Allie Del Giorno; Sivakanth Gopi; Mojan Javaheripi; Piero Kauffmann; Gustavo de Rosa; Olli Saarikivi; Adil Salim; Shital Shah; et al. (CoRR, 2023)

Peekaboo: Interactive Video Generation via Masked-Diffusion. - Yash Jain; Anshul Nasery; Vibhav Vineet; Harkirat S. Behl (CVPR, 2024)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Phi-4 Technical Report. - 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; et al. (CoRR, 2024)

Scaling the Convex Barrier with Sparse Dual Algorithms. - Alessandro De Palma; Harkirat Singh Behl; Rudy Bunel; Philip H. S. Torr; M. Pawan Kumar (J. Mach. Learn. Res., 2024)

Phi-4-reasoning Technical Report. - Marah I Abdin; Sahaj Agarwal; Ahmed Awadallah 001; Vidhisha Balachandran; Harkirat S. Behl; Lingjiao Chen; Gustavo de Rosa; Suriya Gunasekar; Mojan Javaheripi; Neel Joshi; Piero Kauffmann; Yash Lara; et al. (CoRR, 2025)