Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2609.39137v1 Announce Type: new Abstract: Scaling Large Language Models (LLMs) via Mixture-of-Experts (MoE) enables massive parameter growth wit…
arXiv:2609.39131v1 Announce Type: new Abstract: Large language model (LLM) serving requires substantial memory to store model weights and KV caches. A…
arXiv:2609.39124v1 Announce Type: new Abstract: Generative models for tabular data are typically trained separately for each dataset, limiting knowled…
arXiv:2609.39123v1 Announce Type: new Abstract: When optimizing an expensive black-box function sequentially, as in hyperparameter optimization, we ma…
arXiv:2609.39114v1 Announce Type: new Abstract: This paper examines how row-wise renormalization affects Muon, focusing on the gap between NorMuon's w…
arXiv:2609.39109v1 Announce Type: new Abstract: Parameter-efficient reinforcement learning aims to improve reasoning with a compact trainable interfac…
arXiv:2609.39099v1 Announce Type: new Abstract: Model selection in computational biology often relies on validation data drawn from the training regim…
arXiv:2609.39093v1 Announce Type: new Abstract: We study infinite-horizon average-reward constrained Markov decision processes (CMDPs) under the weakl…
arXiv:2609.39082v1 Announce Type: new Abstract: As new evidence arrives, a sequence model must update what it remembers and how memory influences pred…
arXiv:2609.39078v1 Announce Type: new Abstract: Representations are routinely used across machine learning, psychology, and neuroscience to draw infer…
arXiv:2609.39074v1 Announce Type: new Abstract: Federated learning (FL) on memory-constrained edge devices faces a dilemma: first-order (FO) optimizat…
arXiv:2609.39068v1 Announce Type: new Abstract: Long-context LLM agents accumulate interaction histories that strain KV-cache memory and attention com…
arXiv:2609.39067v1 Announce Type: new Abstract: Elastic Compute Cloud (EC2) Spot is 60% to 90% cheaper than On-Demand but can be reclaimed on just a 2…
arXiv:2609.39055v1 Announce Type: new Abstract: How can we personalize a shared expert library from a user's pairwise choices? Prior work can realize…
arXiv:2609.39048v1 Announce Type: new Abstract: Protein optimization remains a longstanding goal in life sciences. Existing machine learning-assisted…
arXiv:2609.39037v1 Announce Type: new Abstract: Before a validator can be promoted to a hard gate on a deployment pipeline, it has to be shown that it…
arXiv:2609.39035v1 Announce Type: new Abstract: Passenger access doors are safety-critical subsystems in railway vehicles, yet detecting abnormal door…
arXiv:2609.39034v1 Announce Type: new Abstract: Designing expressive sequence layers with efficient inference remains a central challenge in modern ma…
arXiv:2609.39025v1 Announce Type: new Abstract: Fairness assessment in algorithmic decisions that affect individuals, such as credit scoring, often re…
arXiv:2609.39019v1 Announce Type: new Abstract: Multi-view learning seeks to learn more comprehensive representations by exploiting the complementarit…