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jensen-shannon divergence

49 papers

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Also known as

JS DIVERGENCE JS JSD

Co-occurring keywords

generative adversarial network (1944) wasserstein distance (417) large language model (13587) language model (4599) generative model (2892) distribution matching (127) adversarial training (1262) uncertainty quantification (1393) domain generalization (1522) educational outcome (3)

Papers

Syllable Structures Across Arabic Varieties EACL 2026
DivMerge: A divergence-based model merging method for multi-tasking EACL 2026
Information Integration in Large Language Models is Gated by Linguistic Structural Markers EMNLP 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness AAAI 2025
Revisiting Interpolation for Noisy Label Correction AAAI 2025
Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization ICCV 2025
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge NAACL 2025
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization AAAI 2025
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification IJCAI 2025
Experimental versus In-Corpus Variation in Referring Expression Choice COLING 2024
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models AAAI 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024
Rates of convergence for density estimation with generative adversarial networks JMLR 2024
Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods EMNLP 2024
Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications CVPR 2023
Compute-Efficient Churn Reduction for Conversational Agents EMNLP 2023
Mode-Seeking Divergences: Theory and Applications to GANs AISTATS 2023
Aligning Language Models with Preferences through $f$-divergence Minimization ICML 2023
Efficient and Effective Augmentation Strategy for Adversarial Training NIPS 2022
DNA: Domain Generalization with Diversified Neural Averaging ICML 2022