Machine Learning

Towards Performance Robustness for Microservices NSDI 2026 Towards Privacy-Protected Generalized Gaze Estimation Using Diffusion Models and Domain Stability Adaptation Framework AAAI 2026 Towards Provably Secure and Highly Robust Generative Image Steganography Leveraging Latent Diffusion Model AAAI 2026 Towards Provably Unlearnable Examples via Bayes Error Optimization AAAI 2026 Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization AAAI 2026 Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance AAAI 2026 Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026 Towards Robust Edge Model Adaptation via Elastic Architecture Search AAAI 2026 Towards Robust Human–AI Decision-Making via Learning-to-Defer AAAI 2026 Towards Robust, Reliable, and Generalized Medical AI AAAI 2026 Towards Sparse Video Understanding and Reasoning CVPR 2026 Towards Synthesizing High-Dimensional Tabular Data with Limited Samples AAAI 2026 Towards Test-time Efficient Visual Place Recognition via Asymmetric Query Processing AAAI 2026 Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution AAAI 2026 Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference AAAI 2026 Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs AAAI 2026 Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026 Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs AAAI 2026 Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating AAAI 2026 Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance AAAI 2026 Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing AAAI 2026 Toward Trustworthy AI for Decision Making in Population Health AAAI 2026 ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation EACL 2026 ToxiPrompt: A Two-Stage Red-Teaming Approach for Balancing Adversarial Prompt Diversity and Response Toxicity EACL 2026 TRACE: A Framework for Analyzing and Enhancing Stepwise Reasoning in Vision-Language Models EACL 2026