Papers
DDAE: Towards Deep Dynamic Vision BERT Pretraining
Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion
Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee
DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract)
Linpeng Sun, Victor S. Sheng
Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning
Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala
De-biased Attention Supervision for Text Classification with Causality
Yiquan Wu, Yifei Liu, Ziyu Zhao et al.
Debiased Novel Category Discovering and Localization
Juexiao Feng, Yuhong Yang, Yanchun Xie et al.
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
Mengzhao Jia, Can Xie, Liqiang Jing
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation
Chen Song, Chandrajit Bajaj, Qixing Huang
Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization
Zhenwei Lin, Jingfan Xia, Qi Deng et al.
Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding
Alexey Skrynnik, Anton Andreychuk, Konstantin Yakovlev et al.
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits
Qingsong Liu, Zhixuan Fang
Decentralized Sum-of-Nonconvex Optimization
Zhuanghua Liu, Bryan Kian Hsiang Low
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
Yu Wang, Zexue He, Zhankui He et al.
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai et al.
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs
Cassidy K. Buhler, Hande Y. Benson
Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making
Zhuoyan Li, Zhuoran Lu, Ming Yin
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning
Tianchen Zhu, Yue Qiu, Haoyi Zhou et al.
Decomposing Constraint Networks for Calculating c-Representations
Marco Wilhelm, Gabriele Kern-Isberner
Decomposing Semantic Shifts for Composed Image Retrieval
Xingyu Yang, Daqing Liu, Heng Zhang et al.
Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning
Chenyang Zhu, Wen Si, Jinyu Zhu et al.
Decompositions in Compositional Translation of LTLf to DFA (Student Abstract)
Yash Kankariya, Suguman Bansal
Decouple Content and Motion for Conditional Image-to-Video Generation
Cuifeng Shen, Yulu Gan, Chen Chen et al.
Decoupled Contrastive Learning for Long-Tailed Recognition
Shiyu Xuan, Shiliang Zhang
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
Yiding Lu, Yijie Lin, Mouxing Yang et al.
Decoupled Optimisation for Long-Tailed Visual Recognition
Cong Cong, Shiyu Xuan, Sidong Liu et al.