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5 papers · 2 filters
Explainability of Algorithms
Andrés Páez
The opaqueness of many complex machine learning algorithms is often mentioned as one of the main obstacles to the ethical development of artificial intelligence (AI). But what does…
Advanced Hybrid Transformer LSTM Technique with Attention and TS Mixer for Drilling Rate of Penetration Prediction
Saddam Hussain Khan
Rate of Penetration (ROP) prediction is critical for drilling optimization yet remains challenging due to the nonlinear, dynamic, and heterogeneous characteristics of drilling data…
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
Ahmad Chaddad, Yihang Wu, Yuchen Jiang +2
Traditional machine learning assumes that training and test sets are derived from the same distribution; however, this assumption does not always hold in practical applications. Th…
Self-Supervised Learning Using Nonlinear Dependence
M. Hadi Sepanj, Benyamin Ghojogh, Paul Fieguth
Self-supervised learning has gained significant attention in contemporary applications, particularly due to the scarcity of labeled data. While existing SSL methodologies primarily…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…