Papers
Down the Cascades of Omethi: Hierarchical Automatic Scoring in Large-Scale Assessments
Fabian Zehner, Hyo Jeong Shin, Emily Kerzabi et al.
Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding
Yeongjae Cho, Keonwoo Kim, Taebaek Hwang et al.
Do You Know About My Nation? Investigating Multilingual Language Models’ Cultural Literacy Through Factual Knowledge
Eshaan Tanwar, Anwoy Chatterjee, Michael Saxon et al.
Do Your Best and Get Enough Rest for Continual Learning
Hankyul Kang, Gregor Seifer, Donghyun Lee et al.
Do You Steal My Model? Signature Diffusion Embedded Dual-Verification Watermarking for Protecting Intellectual Property of Hyperspectral Image Classification Models
Yufei Yang, Song Xiao, Lixiang Li et al.
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models
Eman Ali, Sathira Silva, Muhammad Haris Khan
DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle
Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen et al.
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
Haoyang Li, Liang Wang, Chao Wang et al.
DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Yukun Cao, LIsheng Wang, Luobin Huang
DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
Yunbei Zhang, Akshay Mehra, Shuaicheng Niu et al.
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
Xinglong Liang, Jiaju Huang, Luyi Han et al.
DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings
Shuya Feng, Yuan Hong
DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
Wei Huang, Anda Cheng, Zhao Zhang et al.
DPFL: Decentralized Personalized Federated Learning
Salma Kharrat, Marco Canini, Samuel Horváth
DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework
Henrique Morimitsu, Xiaobin Zhu, Roberto M. Cesar et al.
DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters
Daeyoung Hong, Woohwan Jung, Kyuseok Shim
DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation
Zhonghao Sun, Zhiliang Tian, Yiping Song et al.
DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation
Weijie Zhang, Lingfeng Xie, Kun Zeng et al.
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
Mingchen Li, Heng Fan, Song Fu et al.
DPL: Diverse Preference Learning Without A Reference Model
Abhijnan Nath, Andrey Volozin, Saumajit Saha et al.
DPLM-2: A Multimodal Diffusion Protein Language Model
Xinyou Wang, Zaixiang Zheng, Fei YE et al.
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
Yunlong Lin, Zhenqi Fu, Kairun Wen et al.
DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities
Yueguang Yang, Jiahui Qu, Ling Huang et al.
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Yanming Liu, Xinyue Peng, Yuwei Zhang et al.
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization
Amitava Das, Suranjana Trivedy, Danush Khanna et al.