Tag: adversarial machine learning
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Unified Benchmark for Knowledge Graphs & GNN Evaluation
Discover a unified benchmark to evaluate knowledge graph construction methods and graph neural networks in biomedical AI applications.
Robust Graph Self-Supervised Learning for Noisy Biomedical Text
Explore robust graph self-supervised learning methods for noisy biomedical text-driven graphs, improving accuracy by up to 7% over language models.
Semantic Loss Fine-Tuning to Prevent Model Collapse
Discover how semantic loss fine-tuning prevents model collapse and improves causal reasoning accuracy in transformer AI models.
Creative Robot Tool Use via Counterfactual Reasoning
Discover how robots use counterfactual reasoning to creatively select and utilize tools, enhancing adaptability and task performance.
How to Generate Query-Focused Summarization Datasets
Learn how to create query-focused summarization datasets from query-free data to improve NLP summarization quality and performance.