Five Must Read Data-Centric AI Papers from NeurIPS 2024
Get ready for The NeurlPS 2024 Preshow by checking out these Papers You Don’t Want to Miss
Author: Harpreet Sahota
The NeurIPS 2024 Preshow: More Than Meets the Eye: How Transformations Reveal the Hidden Biases Shaping Our Datasets
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The NeurIPS 2024 Preshow: Data Quality Over Quantity: Why Real Images Still Reign Supreme for Vision Model Training
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The NeurIPS 2024 Preshow: Using Knowledge Graphs to Diagnose and Debias Visual Datasets
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The NeurIPS 2024 Preshow: A Data-Centric Look at Curation Strategies for Image Classification
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The NeurIPS 2024 Preshow: Are We Measuring What We Think We Are? The Perils of Contaminated Benchmark Datasets
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The NeurIPS 2024 Preshow: Zero-Shot Learning: A Misnomer?
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The NeurIPS 2024 Preshow: Creating SPIQA: Addressing the Limitations of Existing Datasets for Scientific VQA
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The NeurlPS 2024 Preshow: A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
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The NeurlPS 2024 Preshow: NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
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