Jörg Bornschein | DeepAI

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∙ 07/11/2023

Towards Robust and Efficient Continual Language Learning

As the application space of language models continues to evolve, a natur...

0 Adam Fisch, et al. ∙

∙ 06/14/2023

Kalman Filter for Online Classification of Non-Stationary Data

In Online Continual Learning (OCL) a learning system receives a stream o...

0 Michalis K. Titsias, et al. ∙

∙ 04/12/2023

DiscoGen: Learning to Discover Gene Regulatory Networks

Accurately inferring Gene Regulatory Networks (GRNs) is a critical and c...

0 Nan Rosemary Ke, et al. ∙

∙ 02/19/2023

Evaluating Representations with Readout Model Switching

Although much of the success of Deep Learning builds on learning good re...

0 Yazhe Li, et al. ∙

∙ 12/15/2022

Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies

Reinforcement learning (RL) has shown great promise with algorithms lear...

0 Shivakanth Sujit, et al. ∙

∙ 10/14/2022

Sequential Learning Of Neural Networks for Prequential MDL

Minimum Description Length (MDL) provides a framework and an objective f...

0 Jörg Bornschein, et al. ∙

∙ 06/20/2022

When Does Re-initialization Work?

Re-initializing a neural network during training has been observed to im...

0 Sheheryar Zaidi, et al. ∙

∙ 04/11/2022

Learning to Induce Causal Structure

The fundamental challenge in causal induction is to infer the underlying...

0 Nan Rosemary Ke, et al. ∙

∙ 07/02/2021

Prequential MDL for Causal Structure Learning with Neural Networks

Learning the structure of Bayesian networks and causal relationships fro...

0 Jörg Bornschein, et al. ∙

∙ 05/31/2021

A study on the plasticity of neural networks

One aim shared by multiple settings, such as continual learning or trans...

0 Tudor Berariu, et al. ∙

∙ 09/26/2020

Small Data, Big Decisions: Model Selection in the Small-Data Regime

Highly overparametrized neural networks can display curiously strong gen...

0 Jörg Bornschein, et al. ∙

∙ 06/12/2015

Bidirectional Helmholtz Machines

Efficient unsupervised training and inference in deep generative models ...

0 Jörg Bornschein, et al. ∙

∙ 06/11/2014

Reweighted Wake-Sleep

Training deep directed graphical models with many hidden variables and p...

0 Jörg Bornschein, et al. ∙

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