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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...
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06/14/2023
Kalman Filter for Online Classification of Non-Stationary Data
In Online Continual Learning (OCL) a learning system receives a stream o...
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04/12/2023
DiscoGen: Learning to Discover Gene Regulatory Networks
Accurately inferring Gene Regulatory Networks (GRNs) is a critical and c...
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02/19/2023
Evaluating Representations with Readout Model Switching
Although much of the success of Deep Learning builds on learning good re...
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12/15/2022
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies
Reinforcement learning (RL) has shown great promise with algorithms lear...
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10/14/2022
Sequential Learning Of Neural Networks for Prequential MDL
Minimum Description Length (MDL) provides a framework and an objective f...
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06/20/2022
When Does Re-initialization Work?
Re-initializing a neural network during training has been observed to im...
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04/11/2022
Learning to Induce Causal Structure
The fundamental challenge in causal induction is to infer the underlying...
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07/02/2021
Prequential MDL for Causal Structure Learning with Neural Networks
Learning the structure of Bayesian networks and causal relationships fro...
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05/31/2021
A study on the plasticity of neural networks
One aim shared by multiple settings, such as continual learning or trans...
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09/26/2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime
Highly overparametrized neural networks can display curiously strong gen...
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06/12/2015
Bidirectional Helmholtz Machines
Efficient unsupervised training and inference in deep generative models ...
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06/11/2014
