Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2605.22820v2 Announce Type: replace Abstract: We propose the Integrable Context-Dependent Demand Network (ICDN), a demand-first neural model for…
arXiv:2605.21103v2 Announce Type: replace Abstract: Shared-state federated computations combine client-local tensor computation, mergeable aggregation…
arXiv:2605.20468v3 Announce Type: replace Abstract: Effective medication management in Parkinson's Disease (PD) is challenging due to heterogeneous di…
arXiv:2605.19145v3 Announce Type: replace Abstract: In the literature, many continual learning (CL) algorithms have been proposed to address the issue…
arXiv:2605.18387v2 Announce Type: replace Abstract: Graph Neural Networks and Graph Transformers have become central to graph learning, combining expr…
arXiv:2605.16048v2 Announce Type: replace Abstract: State Space Models (SSMs) are increasingly deployed in the Edge because they offer, at comparable…
arXiv:2605.14867v2 Announce Type: replace Abstract: Spike activity has been the dominant neural signal for behavior decoding because its high spatiote…
arXiv:2605.14841v2 Announce Type: replace Abstract: Low-rank adaptation (LoRA) has become a dominant paradigm for parameter-efficient fine-tuning (PEF…
arXiv:2605.12843v2 Announce Type: replace Abstract: Model merging aims to combine multiple task-specific expert models into a single model without joi…
arXiv:2605.10793v2 Announce Type: replace Abstract: Large language models (LLMs) are costly to deploy due to their large memory footprint and high inf…
arXiv:2605.09291v2 Announce Type: replace Abstract: Discrete flow models (DFMs) are a class of flexible generative models for generating discrete data…
arXiv:2605.07579v3 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards (RLVR) for Large Reasoning Models rests on variance…
arXiv:2605.05806v3 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) typically treats retrieval and generation as separate systems…
arXiv:2604.24957v3 Announce Type: replace Abstract: Scaling test-time compute has emerged as a powerful mechanism for enhancing Large Language Model (…
arXiv:2604.20733v2 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards (RLVR) is a core post-training recipe for reasoning…
arXiv:2604.16067v2 Announce Type: replace Abstract: Fine-tuning pre-trained Vision-Language Models (VLMs) for robotic manipulation introduces a fundam…
arXiv:2604.14908v2 Announce Type: replace Abstract: We study downlink beam and rate adaptation in a multi-user mmWave MISO system where multiple base…
arXiv:2604.13460v2 Announce Type: replace Abstract: A central challenge in continual learning is forgetting: the loss of performance on previously lea…
arXiv:2604.02751v3 Announce Type: replace Abstract: Diffusion models often degrade in latent spaces, yet the formal causes remain poorly understood. W…
arXiv:2604.01329v2 Announce Type: replace Abstract: Model merging provides a way of cheaply combining individual models to produce a model that inheri…