Machine Learning

Beyond Euclidean Gossip: KL-Barycentric Consensus on Heterogeneous and Imbalanced Images CVPR 2026 Beyond Faces: A Multimodal Person Clustering for Unconstrained Environments WACV 2026 Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily AAAI 2026 Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization AAAI 2026 Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026 Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 2026 Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting AAAI 2026 Beyond IVR: Benchmarking Customer Support LLM Agents for Business-Adherence EACL 2026 Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026 Beyond Mean-Field: Tree-Copula Variational Autoencoders for Structured Latent Dependencies UAI 2026 Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification AAAI 2026 Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means UAI 2026 Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning AAAI 2026 Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026 Beyond Neuron-Level Sparsity: Achieving Faithful and Interpretable LLMs with Mixture of Decoders AAAI 2026 Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions AAAI 2026 Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning AAAI 2026 Beyond One-Step Distillation: Bridging the Capacity Gap in Small Language Models via Multi-Step Knowledge Transfer EACL 2026 Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone WACV 2026 Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection AAAI 2026 Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition AAAI 2026 Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning EACL 2026 Beyond Realism: Learning the Art of Expressive Composition with StickerNet WACV 2026 Beyond Real Weights: Hypercomplex Representations for Stable Quantization WACV 2026 Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision–Language Models AAAI 2026