Yiding Jiang | DeepAI

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∙ 06/25/2023

Language models are weak learners

A central notion in practical and theoretical machine learning is that o...

0 Hariharan Manikandan, et al. ∙

∙ 06/08/2023

On the Importance of Exploration for Generalization in Reinforcement Learning

Existing approaches for improving generalization in deep reinforcement l...

0 Yiding Jiang, et al. ∙

∙ 06/07/2023

On the Joint Interaction of Models, Data, and Features

Learning features from data is one of the defining characteristics of de...

0 Yiding Jiang, et al. ∙

∙ 05/22/2023

Neural Functional Transformers

The recent success of neural networks as implicit representation of data...

0 Allan Zhou, et al. ∙

∙ 02/27/2023

Permutation Equivariant Neural Functionals

This work studies the design of neural networks that can process the wei...

0 Allan Zhou, et al. ∙

∙ 12/08/2022

Learning Options via Compression

Identifying statistical regularities in solutions to some tasks in multi...

0 Yiding Jiang, et al. ∙

∙ 06/27/2022

Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift

Recently, Miller et al. showed that a model's in-distribution (ID) accur...

0 Christina Baek, et al. ∙

∙ 06/25/2021

Assessing Generalization of SGD via Disagreement

We empirically show that the test error of deep networks can be estimate...

0 Yiding Jiang, et al. ∙

∙ 04/24/2021

Ask Explore: Grounded Question Answering for Curiosity-Driven Exploration

In many real-world scenarios where extrinsic rewards to the agent are ex...

0 Jivat Neet Kaur, et al. ∙

∙ 12/14/2020

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning

Understanding generalization in deep learning is arguably one of the mos...

0 Yiding Jiang, et al. ∙

∙ 12/06/2019

Observational Overfitting in Reinforcement Learning

A major component of overfitting in model-free reinforcement learning (R...

21 Xingyou Song, et al. ∙

∙ 12/04/2019

Fantastic Generalization Measures and Where to Find Them

Generalization of deep networks has been of great interest in recent yea...

23 Yiding Jiang, et al. ∙

∙ 06/18/2019

Language as an Abstraction for Hierarchical Deep Reinforcement Learning

Solving complex, temporally-extended tasks is a long-standing problem in...

9 Yiding Jiang, et al. ∙

∙ 09/28/2018

Predicting the Generalization Gap in Deep Networks with Margin Distributions

As shown in recent research, deep neural networks can perfectly fit rand...

0 Yiding Jiang, et al. ∙

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