Adam Ibrahim

According to our database, Adam Ibrahim authored at least 17 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simple and Scalable Strategies to Continually Pre-train Large Language Models.

Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timothée Lesort, Irina Rish

Trans. Mach. Learn. Res., 2024

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo

CoRR, 2024

Zyda: A 1.3T Dataset for Open Language Modeling.

Yury Tokpanov, Beren Millidge, Paolo Glorioso, Jonathan Pilault, Adam Ibrahim, James Whittington, Quentin Anthony

CoRR, 2024

Zamba: A Compact 7B SSM Hybrid Model.

Paolo Glorioso, Quentin Anthony, Yury Tokpanov, James Whittington, Jonathan Pilault, Adam Ibrahim, Beren Millidge

CoRR, 2024

2023

Continual Pre-Training of Large Language Models: How to (re)warm your model?

Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats L. Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, Timothée Lesort

CoRR, 2023

2022

Towards Out-of-Distribution Adversarial Robustness.

Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan

CoRR, 2022

Learning Robust Kernel Ensembles with Kernel Average Pooling.

Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren

CoRR, 2022

Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound.

Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Adversarial Feature Desensitization.

Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Linear Lower Bounds and Conditioning of Differentiable Games.

Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

User Perception of Situated Product Recommendations in Augmented Reality.

Brandon Huynh, Adam Ibrahim, YunSuk Chang, Tobias Höllerer, John O'Donovan

Int. J. Semantic Comput., 2019

Lower Bounds and Conditioning of Differentiable Games.

Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas

CoRR, 2019

2018

ARbis Pictus: A Study of Vocabulary Learning with Augmented Reality.

Adam Ibrahim, Brandon Huynh, Jonathan Downey, Tobias Höllerer, Dorothy Chun, John O'Donovan

IEEE Trans. Vis. Comput. Graph., 2018

A Study of Situated Product Recommendations in Augmented Reality.

Brandon Huynh, Adam Ibrahim, YunSuk Chang, Tobias Höllerer, John O'Donovan

Proceedings of the 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2018

2017

ARbis Pictus: A Study of Language Learning with Augmented Reality.

Adam Ibrahim, Brandon Huynh, Jonathan Downey, Tobias Höllerer, Dorothy Chun, John O'Donovan

CoRR, 2017

2007

Predicting Penetration Across the Blood-Brain Barrier from Simple Descriptors and Fragmentation Schemes.

Yuan H. Zhao, Michael H. Abraham, Adam Ibrahim, Paul V. Fish, Susan Cole, Mark L. Lewis, Marcel J. de Groot, Derek P. Reynolds

J. Chem. Inf. Model., 2007

2006

Gas to Olive Oil Partition Coefficients: A Linear Free Energy Analysis.

Michael H. Abraham, Adam Ibrahim

J. Chem. Inf. Model., 2006