Brando Miranda | DeepAI

AI Chat

Featured Co-authors

Lorenzo Rosasco
88 publications
Alexander Rakhlin
66 publications
Kenji Kawaguchi
62 publications
Yu-Xiong Wang
41 publications
Tomaso Poggio
31 publications
Sanmi Koyejo
31 publications
Noah Golowich
30 publications
Chiyuan Zhang
26 publications
Xavier Boix
21 publications
Qianli Liao
14 publications
Hrushikesh Mhaskar
10 publications

∙ 06/24/2023

Is Pre-training Truly Better Than Meta-Learning?

In the context of few-shot learning, it is currently believed that a fix...

0 Brando Miranda, et al. ∙

∙ 06/24/2023

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

Current trends to pre-train capable Large Language Models (LLMs) mostly ...

0 Alycia Lee, et al. ∙

∙ 04/28/2023

Are Emergent Abilities of Large Language Models a Mirage?

Recent work claims that large language models display emergent abilities...

0 Rylan Schaeffer, et al. ∙

∙ 03/15/2023

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

Despite a growing body of work at the intersection of deep learning and ...

0 Brando Miranda, et al. ∙

∙ 08/02/2022

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

Recently, it has been observed that a transfer learning solution might b...

0 Brando Miranda, et al. ∙

∙ 12/24/2021

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

Recent work has suggested that a good embedding is all we need to solve ...

0 Brando Miranda, et al. ∙

∙ 12/24/2021

The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence

Recently, it has been observed that a transfer learning solution might b...

0 Brando Miranda, et al. ∙

∙ 03/12/2019

Theory III: Dynamics and Generalization in Deep Networks

We review recent observations on the dynamical systems induced by gradie...

0 Andrzej Banburski, et al. ∙

∙ 07/25/2018

A Surprising Linear Relationship Predicts Test Performance in Deep Networks

Given two networks with the same training loss on a dataset, when would ...

10 Qianli Liao, et al. ∙

∙ 06/29/2018

Theory IIIb: Generalization in Deep Networks

A main puzzle of deep neural networks (DNNs) revolves around the apparen...

2 Tomaso Poggio, et al. ∙

∙ 01/07/2018

Theory of Deep Learning IIb: Optimization Properties of SGD

In Theory IIb we characterize with a mix of theory and experiments the o...

0 Chiyuan Zhang, et al. ∙

∙ 12/30/2017

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

A main puzzle of deep networks revolves around the absence of overfittin...

0 Tomaso Poggio, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world