Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2605.06183v2 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) is a widely used parameter-efficient fine-tuning method that plac…
arXiv:2605.05866v2 Announce Type: replace-cross Abstract: Multiphase powder X-ray diffraction (PXRD) analysis remains a fundamental bottleneck in stru…
arXiv:2605.05780v2 Announce Type: replace-cross Abstract: In the mid-twentieth century, mathematician and polymath John von Neumann created a computat…
arXiv:2604.19753v3 Announce Type: replace-cross Abstract: We propose ZeroFolio, a feature-free approach to algorithm selection that uses pretrained te…
arXiv:2604.00055v2 Announce Type: replace-cross Abstract: Existing robotic foundation policies are trained primarily via large-scale imitation learnin…
arXiv:2603.27101v2 Announce Type: replace-cross Abstract: Large-scale maps of field boundaries are essential for agricultural monitoring tasks. Existi…
arXiv:2603.22278v3 Announce Type: replace-cross Abstract: Many multimodal tasks, such as image captioning and visual question answering, require visio…
arXiv:2603.19899v2 Announce Type: replace-cross Abstract: Autocorrelation is a common property of time-series, where each observation is dependent on…
arXiv:2603.04317v2 Announce Type: replace-cross Abstract: A growing literature shows that variables can be linearly decoded from the activations of la…
arXiv:2602.18899v4 Announce Type: replace-cross Abstract: Self-supervised speech models (S3Ms) are known to encode rich phonetic information, yet how…
arXiv:2602.06869v3 Announce Type: replace-cross Abstract: We study a persistent failure mode in multi-objective alignment for large language models (L…
arXiv:2512.20007v3 Announce Type: replace-cross Abstract: Models with intractable normalizing constants are widely used in statistics and machine lear…
arXiv:2512.13825v2 Announce Type: replace-cross Abstract: In unsupervised learning, the training data for deep learning does not come with any labels,…
arXiv:2510.26672v3 Announce Type: replace-cross Abstract: At the heart of reinforcement learning are actions -- decisions made in response to observat…
arXiv:2510.25693v4 Announce Type: replace-cross Abstract: State-space models (SSMs) are a widely used tool in time series analysis. In the complex sys…
arXiv:2510.22778v4 Announce Type: replace-cross Abstract: A growing class of machine-learning objects -- covariance and Gram matrices, kernel and atte…
arXiv:2510.11593v3 Announce Type: replace-cross Abstract: For reliable large-scale quantum computation, quantum error correction (QEC) is essential to…
arXiv:2509.04603v4 Announce Type: replace-cross Abstract: When faced with new data, we often conduct a cluster analysis to obtain a better understandi…
arXiv:2509.03647v3 Announce Type: replace-cross Abstract: Large language models (LLMs) increasingly serve as automated evaluators, yet they suffer fro…
arXiv:2508.19819v3 Announce Type: replace-cross Abstract: Gradient inversion attacks are often presented as a serious privacy threat in federated lear…