Machine Learning

SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense WACV 2026 SAFE: Semantic- and Frequency-Enhanced Curriculum for Cross-Domain Deepfake Detection AAAI 2026 SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication AAAI 2026 Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions AAAI 2026 Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis L4DC 2026 SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks AAAI 2026 SAFO: Stable Adaptive Fairness Optimization for LLM-Based Social Survey Simulation ACL 2026 SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias AAAI 2026 SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback EACL 2026 SAGE: Structured Attribute-Guided Enhancement for GZSL AAAI 2026 SAIL: Self-supervised Learning of Lighting-Invariant Representations from Real Images with Latent Diffusion WACV 2026 Salience-SGG: Enhancing Unbiased Scene Graph Generation with Iterative Salience Estimation WACV 2026 SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning CVPR 2026 SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models AAAI 2026 SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph EACL 2026 SAM2-OV: A Novel Detection-Only Tuning Paradigm for Open-Vocabulary Multi-Object Tracking AAAI 2026 SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026 SAME: Sparse and Anchored Model Editing for Heterogeneous Incremental Learning under Limited Data CVPR 2026 SAMGTD: Spatial-Aware Masked Graph Transformer-Diffusion Model for Enhanced Cell Type Deconvolution in Spatial Transcriptomics AAAI 2026 Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions AAAI 2026 Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model ALT 2026 Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees UAI 2026 Sample-Efficient Omniprediction for Proper Losses COLT 2026 Sample-Near-Optimal Agnostic Boosting with Improved Running Time ALT 2026 Sample-Size Scaling of the African Languages NLI Evaluation EACL 2026