Application Areas

Sampling-based Pseudo-Likelihood for Membership Inference Attacks ACL 2025 Sampling-based System Identification with Active Exploration for Legged Sim2Real Learning CoRL 2025 Sam’s Fans at the Crypto Trading Challenge Task: A Threshold-Based Decision Approach Based on FinMem Framework COLING 2025 SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation ICCV 2025 Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking ACL 2025 SAND: One-Shot Feature Selection with Additive Noise Distortion ICML 2025 SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP ICLR 2025 SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning ICML 2025 Sanity Checking Causal Representation Learning on a Simple Real-World System ICML 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025 SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation ICLR 2025 SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds CVPR 2025 SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers CVPR 2025 Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution CVPR 2025 Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models EMNLP 2025 SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading EMNLP 2025 SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion ICML 2025 Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal AAAI 2025 Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up ICML 2025 Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier ICLR 2025 Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation EMNLP 2025 Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration EMNLP 2025 Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025 Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination EMNLP 2025