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06/02/2023
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification
Active Learning (AL) is a human-in-the-loop framework to interactively a...
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05/11/2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models
A salient characteristic of large pre-trained language models (PTLMs) is...
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03/15/2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
Deep neural networks have seen great success in recent years; however, t...
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11/18/2021
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
Continual learning (CL) aims to develop techniques by which a single mod...
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09/23/2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
A critical bottleneck in supervised machine learning is the need for lar...
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07/01/2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Active learning has proven to be useful for minimizing labeling costs by...
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06/14/2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Semi-supervised learning (SSL) algorithms have had great success in rece...
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12/19/2020
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
Large scale machine learning and deep models are extremely data-hungry. ...
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11/13/2020
A Reweighted Meta Learning Framework for Robust Few Shot Learning
Model-Agnostic Meta-Learning (MAML) is a popular gradient-based meta-lea...
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08/22/2020
