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; 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)

Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints - Ganesh Jawahar; Subhabrata Mukherjee; Debadeepta Dey; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Caio C. T. Mendes; Gustavo Henrique de Rosa; Shital Shah (Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023, Toronto, Canada (Hybrid), July 13, 2023, 2023)

Textbooks Are All You Need - 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; et al. (CoRR, 2023)

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models - Mojan Javaheripi; Gustavo de Rosa; Subhabrata Mukherjee; Shital Shah; Tomasz Religa; Caio César Teodoro Mendes; Sébastien Bubeck; Farinaz Koushanfar; Debadeepta Dey (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models - Mojan Javaheripi; Shital Shah; Subhabrata Mukherjee; Tomasz L. Religa; Caio C. T. Mendes; Gustavo H. de Rosa; Sébastien Bubeck; Farinaz Koushanfar; Debadeepta Dey (CoRR, 2022)

One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning - Sharath Girish; Debadeepta Dey; Neel Joshi; Vibhav Vineet; Shital Shah; Caio César Teodoro Mendes; Abhinav Shrivastava; Yale Song (CoRR, 2022)

Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints - Ganesh Jawahar; Subhabrata Mukherjee; Debadeepta Dey; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Caio César Teodoro Mendes; Gustavo Henrique de Rosa; Shital Shah (CoRR, 2022)

Understanding Failures of Deep Networks via Robust Feature Extraction - Sahil Singla; Besmira Nushi; Shital Shah; Ece Kamar; Eric Horvitz (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

FEAR: A Simple Lightweight Method to Rank Architectures - Debadeepta Dey; Shital Shah; Sébastien Bubeck (CoRR, 2021)

An Empirical Analysis of Backward Compatibility in Machine Learning Systems - Megha Srivastava; Besmira Nushi; Ece Kamar; Shital Shah; Eric Horvitz (KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, 2020)

Safe Reinforcement Learning via Curriculum Induction - Matteo Turchetta; Andrey Kolobov; Shital Shah; Andreas Krause; Alekh Agarwal (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos - Elizabeth Bondi; Raghav Jain; Palash Aggrawal; Saket Anand; Robert Hannaford; Ashish Kapoor; Jim Piavis; Shital Shah; Lucas Joppa; Bistra Dilkina; Milind Tambe (IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, 2020)

A System for Real-Time Interactive Analysis of Deep Learning Training - Shital Shah; Roland Fernandez; Steven Mark Drucker (CoRR, 2020)

Safe Reinforcement Learning via Curriculum Induction - Matteo Turchetta; Andrey Kolobov; Shital Shah; Andreas Krause; Alekh Agarwal (CoRR, 2020)

An Empirical Analysis of Backward Compatibility in Machine Learning Systems - Megha Srivastava; Besmira Nushi; Ece Kamar; Shital Shah; Eric Horvitz (CoRR, 2020)

Understanding Failures of Deep Networks via Robust Feature Extraction - Sahil Singla; Besmira Nushi; Shital Shah; Ece Kamar; Eric Horvitz (CoRR, 2020)

A system for real-time interactive analysis of deep learning training - Shital Shah; Roland Fernandez; Steven Mark Drucker (Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2019, Valencia, Spain, June 18-21, 2019, 2019)

A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities - Deepali Aneja; Daniel McDuff; Shital Shah (International Conference on Multimodal Interaction, ICMI 2019, Suzhou, China, October 14-18, 2019, 2019)

A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities - Deepali Aneja; Daniel McDuff; Shital Shah (CoRR, 2019)

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs - Elizabeth Bondi; Debadeepta Dey; Ashish Kapoor; Jim Piavis; Shital Shah; Fei Fang; Bistra Dilkina; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2018, Menlo Park and San Jose, CA, USA, June 20-22, 2018, 2018)

Near Real-Time Detection of Poachers from Drones in AirSim - Elizabeth Bondi; Ashish Kapoor; Debadeepta Dey; James Piavis; Shital Shah; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, 2018)

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles - Shital Shah; Debadeepta Dey; Chris Lovett; Ashish Kapoor (Field and Service Robotics, Results of the 11th International Conference, FSR 2017, Zurich, Switzerland, 12-15 September 2017, 2017)

Submodular Trajectory Optimization for Aerial 3D Scanning - Mike Roberts; Shital Shah; Debadeepta Dey; Anh Truong; Sudipta N. Sinha; Ashish Kapoor; Pat Hanrahan; Neel Joshi (IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017, 2017)

Submodular Trajectory Optimization for Aerial 3D Scanning - Mike Roberts; Debadeepta Dey; Anh Truong; Sudipta N. Sinha; Shital Shah; Ashish Kapoor; Pat Hanrahan; Neel Joshi (CoRR, 2017)

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles - Shital Shah; Debadeepta Dey; Chris Lovett; Ashish Kapoor (CoRR, 2017)

Probabilistic Safety Programs - Ashish Kapoor; Debadeepta Dey; Shital Shah (CoRR, 2016)