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06/16/2023
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning
Labeled data are critical to modern machine learning applications, but o...
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04/27/2023
DataComp: In search of the next generation of multimodal datasets
Large multimodal datasets have been instrumental in recent breakthroughs...
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03/07/2023
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]
We introduce VOCALExplore, a system designed to support users in buildin...
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11/17/2022
Active Learning with Expected Error Reduction
Active learning has been studied extensively as a method for efficient d...
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03/03/2021
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
Labeling data for modern machine learning is expensive and time-consumin...
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10/10/2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
Many pairwise classification tasks, such as paraphrase detection and ope...
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07/09/2020
Concept Bottleneck Models
We seek to learn models that we can interact with using high-level conce...
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06/26/2019
A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree
Decision Tree is a classic formulation of active learning: given n hypot...
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06/26/2019
Selection Via Proxy: Efficient Data Selection For Deep Learning
Data selection methods such as active learning and core-set selection ar...
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12/05/2018
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss
Uncertainty sampling, a popular active learning algorithm, is used to re...
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06/15/2018
On the Relationship between Data Efficiency and Error for Uncertainty Sampling
While active learning offers potential cost savings, the actual data eff...
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02/27/2018
Generalized Binary Search For Split-Neighborly Problems
In sequential hypothesis testing, Generalized Binary Search (GBS) greedi...
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07/11/2017
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search
Inference in log-linear models scales linearly in the size of output spa...
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01/04/2015