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07/26/2023
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models
The quality of training data impacts the performance of pre-trained larg...
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07/23/2023
Geometry-Aware Adaptation for Pretrained Models
Machine learning models – including prominent zero-shot models – are oft...
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11/24/2022
Lifting Weak Supervision To Structured Prediction
Weak supervision (WS) is a rich set of techniques that produce pseudolab...
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08/30/2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Weak supervision (WS) is a powerful method to build labeled datasets for...
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12/07/2021
Universalizing Weak Supervision
Weak supervision (WS) frameworks are a popular way to bypass hand-labeli...
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10/12/2021
NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search
Most existing neural architecture search (NAS) benchmarks and algorithms...
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03/29/2021
Rethinking Neural Operations for Diverse Tasks
An important goal of neural architecture search (NAS) is to automate-awa...
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11/26/2020
Decoding and Diversity in Machine Translation
Neural Machine Translation (NMT) systems are typically evaluated using a...
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12/19/2019
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
This paper explores the scenarios under which an attacker can claim that...
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12/19/2019
Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks
The interplay between inter-neuronal network topology and cognition has ...
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11/18/2019
