Deep Learning

STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification CVPR 2025 STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection CVPR 2025 STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation CVPR 2025 Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos AAAI 2025 StitchLLM: Serving LLMs, One Block at a Time ACL 2025 STIV: Scalable Text and Image Conditioned Video Generation ICCV 2025 STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs AAAI 2025 STLight: A Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal Joint Processing WACV 2025 STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks IJCAI 2025 STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC MIDL 2025 Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs ACL 2025 Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence ICML 2025 Stochastic Deep Restoration Priors for Imaging Inverse Problems ICML 2025 Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior UAI 2025 Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets ICML 2025 Stochastic Interpolants: A Unifying Framework for Flows and Diffusions JMLR 2025 Stochastic Interpolants for Revealing Stylistic Flows across the History of Art ICCV 2025 Stochasticity-aware No-Reference Point Cloud Quality Assessment IJCAI 2025 Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training ICML 2025 Stochastic Rounding for LLM Training: Theory and Practice AISTATS 2025 StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting ICCV 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 Stochastic Weight Sharing for Bayesian Neural Networks AISTATS 2025 StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces ICLR 2025 SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics ICML 2025