Perspectives in machine learning for wildlife conservation

Extending the WILDS Benchmark for Unsupervised Adaptation

Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Survey of Hallucination in Natural Language Generation

New computational tool predicts cell fates and genetic perturbations

Anticorrelated Noise Injection for Improved Generalization

Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative

Assessing the potential for deep learning and computer vision to identify bumble bee species from images

Demystifying machine-learning systems

What makes a fruit flavorful? Artificial intelligence can help optimize cultivars to match consumer preferences