NeurIPS blog posts

The NeurIPS 2024 Preshow: Zero-Shot Learning: A Misnomer?

The NeurIPS 2024 Preshow: Creating SPIQA: Addressing the Limitations of Existing Datasets for Scientific VQA

The NeurIPS 2024 Preshow: Are We Measuring What We Think We Are? The Perils of Contaminated Benchmark Datasets

The NeurIPS 2024 Preshow: A Data-Centric Look at Curation Strategies for Image Classification

The NeurIPS 2024 Preshow: Using Knowledge Graphs to Diagnose and Debias Visual Datasets

The NeurIPS 2024 Preshow: Data Quality Over Quantity: Why Real Images Still Reign Supreme for Vision Model Training

The NeurIPS 2024 Preshow: More Than Meets the Eye: How Transformations Reveal the Hidden Biases Shaping Our Datasets

Five Must Read Data-Centric AI Papers from NeurIPS 2024

The NeurIPS 2024 Preshow: A Label is Worth a Thousand Images in Dataset Distillation

NeurIPS 2023 Survival Guide

NeurIPS 2023 and the State of AI Research