Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2610.07796v1 Announce Type: new Abstract: Empowerment captures the capacity for an agent to actively control its environment. While conceptually…
arXiv:2610.07792v1 Announce Type: new Abstract: Large language model agents are increasingly deployed to perform complex tasks in real-world environme…
arXiv:2610.07786v1 Announce Type: new Abstract: Pathwise gradients are preferred for continuous random variables because they are unbiased, low varian…
arXiv:2610.07778v1 Announce Type: new Abstract: Attributed graph clustering aims to discover node groups by jointly exploiting node attributes and gra…
arXiv:2610.07767v1 Announce Type: new Abstract: Reinforcement learning (RL) for post-training large language models (LLMs) incurs substantial computat…
arXiv:2610.07754v1 Announce Type: new Abstract: Adversarial training is one of the most reliable defenses against adversarial attacks, but its high co…
arXiv:2610.07739v1 Announce Type: new Abstract: Post-discharge risk prediction from electronic health records (EHRs) is difficult because many depende…
arXiv:2610.07713v1 Announce Type: new Abstract: Surface electromyography (sEMG) provides a wearable, noninvasive interface to neuromuscular activity f…
arXiv:2610.07706v1 Announce Type: new Abstract: Autoregressive large language models (LLMs) have rapidly advanced in capability, but their increasing…
arXiv:2610.07699v1 Announce Type: new Abstract: Argument Mining (AM) is fundamentally constrained by the scarcity of high-quality structure-annotated…
arXiv:2610.07677v1 Announce Type: new Abstract: In this paper, we show that standard evaluations of high-resolution Model Inversion Attacks (MIAs) sig…
arXiv:2610.07676v1 Announce Type: new Abstract: Research on transformer expressivity shows whether a transformer is capable of solving a given task, b…
arXiv:2610.07662v1 Announce Type: new Abstract: Electrocardiography (ECG) records the electrical activity of the heart, aiding diagnosis by detecting…
arXiv:2610.07654v1 Announce Type: new Abstract: On-policy distillation (OPD) has attracted growing attention as an effective way to transfer capabilit…
arXiv:2610.07628v1 Announce Type: new Abstract: Out-of-distribution (OOD) generalization remains challenging for graph neural networks (GNNs), as grap…
arXiv:2610.07625v1 Announce Type: new Abstract: Automated research systems increasingly run LLM agents over long horizons, but more inference does not…
arXiv:2610.07615v1 Announce Type: new Abstract: Active Feature Acquisition (AFA) is a classification problem in which an agent decides which costly fe…
arXiv:2610.07610v1 Announce Type: new Abstract: Semi-supervised learning typically assumes that labeled and unlabeled data share an identical class di…
arXiv:2610.07583v1 Announce Type: new Abstract: While AI weather models now rival operational forecasts, how they represent the atmosphere internally…
arXiv:2610.07565v1 Announce Type: new Abstract: Complementary Feature Domains (CFD) theory characterizes predictive value as a context-indexed contrib…