Poster "jensen-shannon divergence" Papers
8 papers found
Conference
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
Aparna Elangovan, Lei Xu, Jongwoo Ko et al.
ICLR 2025arXiv:2410.03775
22
citations
Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations
Dong Un Kang, Hayeon Kim, Se Young Chun
ICLR 2025
Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning
Reuben Dorent, Polina Golland, William (Sandy) Wells
NEURIPS 2025arXiv:2510.20644
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
Christoforos N. Spartalis, Theodoros Semertzidis, Efstratios Gavves et al.
CVPR 2025arXiv:2503.18314
8
citations
Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization
Bingqing Zhang, Zhuo Cao, Heming Du et al.
ICCV 2025arXiv:2507.15504
2
citations
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
Fei Kong, Jinhao Duan, Lichao Sun et al.
CVPR 2024arXiv:2311.14097
5
citations
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Johannes Zenn, Robert Bamler
ICML 2024
Towards compact reversible image representations for neural style transfer
Xiyao Liu, Siyu Yang, Jian Zhang et al.
ECCV 2024
1
citations