Brando Miranda

According to our database, Brando Miranda authored at least 12 papers between 2017 and 2023.

Collaborative distances:

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

2023

Is Pre-training Truly Better Than Meta-Learning?

Brando Miranda, Patrick Yu, Saumya Goyal, Yu-Xiong Wang, Sanmi Koyejo

CoRR, 2023

Beyond Scale: the Diversity Coefficient as a Data Quality Metric Demonstrates LLMs are Pre-trained on Formally Diverse Data.

Alycia Lee, Brando Miranda, Sanmi Koyejo

CoRR, 2023

Transformer Models for Type Inference in the Simply Typed Lambda Calculus: A Case Study in Deep Learning for Code.

Brando Miranda, Avi Shinnar, Vasily Pestun, Barry M. Trager

CoRR, 2023

Are Emergent Abilities of Large Language Models a Mirage?

Rylan Schaeffer, Brando Miranda, Sanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence.

Brando Miranda, Patrick Yu, Yu-Xiong Wang, Sanmi Koyejo

CoRR, 2022

2021

Does MAML Only Work via Feature Re-use? A Data Centric Perspective.

Brando Miranda, Yu-Xiong Wang, Sanmi Koyejo

CoRR, 2021

2019

Theory III: Dynamics and Generalization in Deep Networks.

Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio

CoRR, 2019

2018

A Surprising Linear Relationship Predicts Test Performance in Deep Networks.

Qianli Liao, Brando Miranda, Andrzej Banburski, Jack Hidary, Tomaso A. Poggio

CoRR, 2018

Theory IIIb: Generalization in Deep Networks.

Tomaso A. Poggio, Qianli Liao, Brando Miranda, Andrzej Banburski, Xavier Boix, Jack Hidary

CoRR, 2018

Theory of Deep Learning IIb: Optimization Properties of SGD.

Chiyuan Zhang, Qianli Liao, Alexander Rakhlin, Brando Miranda, Noah Golowich, Tomaso A. Poggio

CoRR, 2018

Theory of Deep Learning III: explaining the non-overfitting puzzle.

Tomaso A. Poggio, Kenji Kawaguchi, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Xavier Boix, Jack Hidary, Hrushikesh N. Mhaskar

CoRR, 2018

2017

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review.

Tomaso A. Poggio, Hrushikesh N. Mhaskar, Lorenzo Rosasco, Brando Miranda, Qianli Liao

Int. J. Autom. Comput., 2017