jensen-shannon divergence

DivMerge: A divergence-based model merging method for multi-tasking EACL 2026 Fusion of Depth and Semantics for Probabilistic Floorplan Localization CVPR 2026 Leveraging Class Distributions in CLIP for Weakly Supervised Semantic Segmentation CVPR 2026 Syllable Structures Across Arabic Varieties EACL 2026 AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge NAACL 2025 Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge ICLR 2025 Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025 DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification IJCAI 2025 Efficient Multi-modal Long Context Learning for Training-free Adaptation ICML 2025 Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence ICML 2025 Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization AAAI 2025 Information Integration in Large Language Models is Gated by Linguistic Structural Markers EMNLP 2025 LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025 Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization ICCV 2025 Revisiting Interpolation for Noisy Label Correction AAAI 2025 Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025 Single-View Graph Contrastive Learning with Soft Neighborhood Awareness AAAI 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods EMNLP 2024 DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution UAI 2024 Experimental versus In-Corpus Variation in Referring Expression Choice COLING 2024 Rates of convergence for density estimation with generative adversarial networks JMLR 2024 Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models AAAI 2024 The Sample Complexity of Simple Binary Hypothesis Testing COLT 2024