Machine Learning

Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation WACV 2026 A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty AAAI 2026 An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression UAI 2026 Anchor-Driven Nyström for Deep Graph-Level Clustering AAAI 2026 Anchor-Guided Discriminative Subspace Alignment and Clustering for Cross-Scene Hyperspectral Imagery AAAI 2026 AnchorHOI: Zero-shot Generation of 4D Human-Object Interaction via Anchor-based Prior Distillation AAAI 2026 Anchoring the Judge: Curriculum-Based Adaptation and Reference-Anchored MQM for LLM-Based Machine Translation of an Unseen Low-Resource Language - A Case of Nupe EACL 2026 Anchor Watermark: Robust Attribution for Diffusion-based Text-to-Audio Model AAAI 2026 An Efficient and Harmonized Framework for Balanced Cross-Domain Feature Integration AAAI 2026 An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision ACL 2026 An Empirical Bayes Perspective on Heteroskedastic Mean Estimation COLT 2026 An Empirical Study of Speculative Decoding for Small Language Models EACL 2026 A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation AAAI 2026 An Evaluation of Classifiers for Mapping Generative LLM Responses to Answer Options of Multiple-choice Questionnaires EACL 2026 An Exponential Lower Bound for Spectral Density Estimation on Unweighted Graphs COLT 2026 An External Fairness Evaluation of LinkedIn Talent Search AAAI 2026 Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks AAAI 2026 An improved architecture for part-based animal re-identification through semantic segmentation distillation WACV 2026 An improved Code-Switching Detection System for some Indic Languages EACL 2026 An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses AAAI 2026 An Information Theoretic Evaluation Metric for Strong Unlearning AAAI 2026 An Information-Theoretic Study of RLHF-Induced Uniformity in Large Language Model Outputs CoNLL 2026 An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies AAAI 2026 An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026 An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains AAAI 2026