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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
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