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07/23/2023
In-Context Learning in Large Language Models Learns Label Relationships but Is Not Conventional Learning
The performance of Large Language Models (LLMs) on downstream tasks ofte...
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05/26/2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
We introduce Three Towers (3T), a flexible method to improve the contras...
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11/09/2022
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
We introduce a challenging decision-making task that we call active acqu...
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05/18/2022
Marginal and Joint Cross-Entropies Predictives for Online Bayesian Inference, Active Learning, and Active Sampling
Principled Bayesian deep learning (BDL) does not live up to its potentia...
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02/14/2022
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
We propose Active Surrogate Estimators (ASEs), a new method for label-ef...
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06/04/2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
We challenge a common assumption underlying most supervised deep learnin...
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03/09/2021
Active Testing: Sample-Efficient Model Evaluation
We introduce active testing: a new framework for sample-efficient model ...
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10/06/2019
