Papers
184,605 papers found
Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery
Minh Tran, Maksim Siniukov, Zhangyu Jin et al.
Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
Jinhao Liang, Sven Koenig, Ferdinando Fioretto
Discrete Structure Augmentation for Graph Convolutional Networks
Jianxin Ren, Weining Wu
Discretization Is Not Always Better: Rethinking Deep Quantization for Asymmetric Image Retrieval
Xinze Liu, Dayan Wu, Hengjie Zhu et al.
Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis
Qianqian Wang, Mengping Jiang, Wei Feng et al.
Disentangle and Regularize: Sign Language Production with Articulator-Based Disentanglement and Channel-Aware Regularization
Sümeyye Meryem Taşyürek, Tuğçe Kızıltepe, Hacer Yalim Keles
Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection
Zhibin Ni, Chenghao Zhang, Hai Wan et al.
Disentangled Hypergraph-Guided Mamba Scanning for Fine-Grained Visual Recognition
Zhongwei Xiong, Hao Wang, Xiaoyan Yu et al.
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
Xiang Fang, Wanlong Fang
Disentangling Emotion Understanding and Generation in Large Language Models
Sadegh Jafari, Els Lefever, Veronique Hoste
Disentangling for Transfer: Boosting Limited Modalities via Information-Theoretic Regularization and Cross-Modal Reconstruction
Zhiyun Zhang, Yan-Jie Zhou, Yujian Hu et al.
DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction
Sudeshna Jana, Tirthankar Dasgupta, Manjira Sinha et al.
Distill and Align Decomposition for Enhanced Claim Verification
Jabez Magomere, Elena Kochkina, Samuel Mensah et al.
Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers
Huiyuan Tian, Bonan Xu, Shijian Li
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
Huiyan Xue, Xuming Ran, Yaxin Li et al.
Distilling Cross-Modal Knowledge via Feature Disentanglement
Junhong Liu, Yuan Zhang, Tao Huang et al.
Distilling Diversity and Control in Diffusion Models
Rohit Gandikota, David Bau
Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection
Haowen Zheng, Hu Zhu, Lu Deng et al.
Distilling Offline Action Detection Models into Real-Time Streaming Models
Deep Patel, Yasunori Babazaki, Yasuto Nagase et al.
Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs
Sainithin Artham, Avijit Dasgupta, Shankar Gangisetty et al.
Distributionally Robust Online Markov Game with Linear Function Approximation
Zewu Zheng, Yuanyuan Lin
Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes
Haokai Hong, Wanyu Lin, Ming Yang et al.
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
Xinpeng Li, Kai Ming Ting
Distribution Highlighted Reference-based Label Distribution Learning for Facial Age Estimation
Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda et al.