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09/11/2023
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
The Mixture of Experts (MoE) is a widely known neural architecture where...
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04/24/2023
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
Perception of toxicity evolves over time and often differs between geogr...
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07/14/2022
PASHA: Efficient HPO with Progressive Resource Allocation
Hyperparameter optimization (HPO) and neural architecture search (NAS) a...
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06/28/2022
Continual Learning with Transformers for Image Classification
In many real-world scenarios, data to train machine learning models beco...
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03/09/2022
Memory Efficient Continual Learning for Neural Text Classification
Learning text classifiers based on pre-trained language models has becom...
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04/27/2020
Learning to Rank in the Position Based Model with Bandit Feedback
Personalization is a crucial aspect of many online experiences. In parti...
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07/05/2018
Contextual Bandits under Delayed Feedback
Delayed feedback is an ubiquitous problem in many industrial systems emp...
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11/30/2017
Differentially Private Variational Dropout
Deep neural networks with their large number of parameters are highly fl...
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11/30/2017
Differentially Private Dropout
Large data collections required for the training of neural networks ofte...
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09/29/2014