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06/18/2023
OpenDataVal: a Unified Benchmark for Data Valuation
Assessing the quality and impact of individual data points is critical f...
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05/04/2023
On the nonlinear correlation of ML performance between data subpopulations
Understanding the performance of machine learning (ML) models across div...
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04/06/2023
GPT detectors are biased against non-native English writers
The rapid adoption of generative language models has brought about subst...
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10/11/2022
SEAL : Interactive Tool for Systematic Error Analysis and Labeling
With the advent of Transformers, large language models (LLMs) have satur...
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10/03/2022
Data Budgeting for Machine Learning
Data is the fuel powering AI and creates tremendous value for many domai...
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06/30/2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
Helping end users comprehend the abstract distribution shifts can greatl...
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03/15/2022
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Access to dermatological care is a major issue, with an estimated 3 bill...
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03/03/2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
We present modality gap, an intriguing geometric phenomenon of the repre...
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02/14/2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Understanding the performance of machine learning models across diverse ...
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01/02/2022
Improving Out-of-Distribution Robustness via Selective Augmentation
Machine learning algorithms typically assume that training and test exam...
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11/15/2021
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images
More than 3 billion people lack access to care for skin disease. AI diag...
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06/01/2021
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations
Open-domain dialog systems have a user-centric goal: to provide humans w...
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04/20/2021
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering
Images are more than a collection of objects or attributes – they repres...
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11/21/2020
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
The predominant approach to visual question answering (VQA) relies on en...
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11/21/2020
Neural Group Testing to Accelerate Deep Learning
Recent advances in deep learning have made the use of large, deep neural...
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09/22/2020
ALICE: Active Learning with Contrastive Natural Language Explanations
Training a supervised neural network classifier typically requires many ...
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05/21/2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
Open Domain dialog system evaluation is one of the most important challe...
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01/02/2020
DAWSON: A Domain Adaptive Few Shot Generation Framework
Training a Generative Adversarial Networks (GAN) for a new domain from s...
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09/12/2019
