Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2602.08589v2 Announce Type: replace Abstract: PageRank (PR) is a fundamental algorithm in graph machine learning tasks. Owing to the increasing…
arXiv:2602.06940v2 Announce Type: replace Abstract: The unsupervised discovery of features that are both semantically meaningful and stable across run…
arXiv:2602.06924v3 Announce Type: replace Abstract: Deep learning models trained to optimize average accuracy often exhibit systematic failures on par…
arXiv:2602.03537v2 Announce Type: replace Abstract: Matryoshka Quantization (MatQuant), Any-Precision-LLM (AP) and AnyBCQ (AB) are recent quantization…
arXiv:2601.23151v2 Announce Type: replace Abstract: Generative models have enjoyed widespread success in a variety of applications. However, they enco…
arXiv:2601.22028v2 Announce Type: replace Abstract: Most LLM unlearning methods aim to approximate retrain-from-scratch behaviors with minimal distrib…
arXiv:2601.18681v3 Announce Type: replace Abstract: We consider time discretization for score-based diffusion models to generate samples from a learne…
arXiv:2512.22802v2 Announce Type: replace Abstract: Step distillation accelerates diffusion sampling by training a few-step student to imitate a many-…
arXiv:2512.19735v4 Announce Type: replace Abstract: Accurately predicting mortality risk in intensive care unit (ICU) patients is critical for clinica…
arXiv:2512.12870v2 Announce Type: replace Abstract: Active Learning (AL) is commonly used in applications where labeling data is expensive or time-con…
arXiv:2512.02019v4 Announce Type: replace Abstract: Diffusion models provide an expressive framework for sampling from complex, unnormalized distribut…
arXiv:2512.00763v2 Announce Type: replace Abstract: Adaptive and non-Euclidean optimizers often outperform Euclidean methods such as stochastic gradie…
arXiv:2511.10936v3 Announce Type: replace Abstract: Graph unlearning (GU) has emerged as a promising solution to comply with "the right to be forgotte…
arXiv:2511.10796v2 Announce Type: replace Abstract: The empirical state-space Neural Tangent Kernel (NTK) describes the local learning geometry of a f…
arXiv:2511.10333v2 Announce Type: replace Abstract: Training large language models (LLMs) at scale incurs substantial communication overhead, while st…
arXiv:2510.01581v2 Announce Type: replace Abstract: Recent thinking models are capable of solving complex reasoning tasks by scaling test-time compute…
arXiv:2509.02109v3 Announce Type: replace Abstract: The Expectation-Maximisation (EM) algorithm is a central tool in statistics and machine learning,…
arXiv:2508.12145v5 Announce Type: replace Abstract: Recently, autoencoders (AEs) have gained interest for creating parametric and invertible projectio…
arXiv:2508.10148v2 Announce Type: replace Abstract: Accurate and explainable out-of-distribution (OOD) detection is required to use machine learning s…
arXiv:2507.12133v2 Announce Type: replace Abstract: Device recognition is vital for security in wireless communication systems, particularly for appli…