Papers
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.
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 for Transfer: Boosting Limited Modalities via Information-Theoretic Regularization and Cross-Modal Reconstruction
Zhiyun Zhang, Yan-Jie Zhou, Yujian Hu 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 Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection
Haowen Zheng, Hu Zhu, Lu Deng 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 Shift Is Key to Learning Invariant Prediction
Hong Zheng, Fei Teng
Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage
Alan J.X. Guo, Mengyi Wei, Yufan Dai et al.
DiTEA: Mixture-of-Experts for Vision-Language-Action Model in Robotic Manipulation
Chengxuan Li, Xingwan Wang
DivControl: Knowledge Diversion for Controllable Image Generation
Yucheng Xie, Fu Feng, Ruixiao Shi et al.
Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests
Wendi Li, Hao Wu, Han Gao et al.
Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference
Chengze Jiang, Minjing Dong, Xinli Shi et al.
Diversity Meets Relevancy: Multi-Agent Knowledge Probing for Industry 4.0 Applications
Christodoulos Constantinides, Dhaval Patel, Scott Kimbleton et al.
Diversity of Structured Domains via k-Kemeny Scores
Piotr Faliszewski, Krzysztof Sornat, Stanisław Szufa et al.
Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure
Jingmao Zhang, Zhiting Zhao, Yunqi Lin et al.