Papers
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
Renlong Wu, Zhilu Zhang, Mingyang Chen et al.
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
Hongxu Chen, Ke Wei, Luo Luo
Decentralized Online Convex Optimization with Unknown Feedback Delays
Hao Qiu, Mengxiao Zhang, Juliette Achddou
Decidable Multi-agent Epistemic Planning: A Situation Calculus Approach
Qihui Feng, Gerhard Lakemeyer
Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection
Kai Li, Wei Wang, Linchao Zhang et al.
Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue
Sukannya Purkayastha, Nils Dycke, Anne Lauscher et al.
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
Minhua Lin, Zhengzhang Chen, Yanchi Liu et al.
De-collapsing User Intent: Adaptive Diffusion Augmentation with Mixture-of-Experts for Sequential Recommendation
Xiaoxi Cui, Chao Zhao, Yurong Cheng et al.
Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score
Yuxuan Yuan, Lichen Wei, Luyao Tang et al.
Decompose and Conquer: Compositional Reasoning for Zero-Shot Temporal Action Localization
Haoyu Tang, Tianyuan Liang, Han Jiang et al.
Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
Zhan Fa, Yue Duan, Jian Zhang et al.
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint
Bertille Tierny, Arthur Charpentier, Francois Hu
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract)
Bertille Tierny, Arthur Charpentier, Francois Hu
Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning
Xinyi Cheng, Chenghao Xu, Xi Wang et al.
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
Rongyu Zhang, Aosong Cheng, Yulin Luo et al.
Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models
Sriram Balasubramanian, Samyadeep Basu, Koustava Goswami et al.
Decomposition Sampling for Efficient Region Annotations in Active Learning
Jingna Qiu, Frauke Wilm, Mathias Öttl et al.
DECON: Reconstruction of Clothed-Geometric Multiple Humans from a Single Image via Geometry-Guided Decoupling
Yiming Jiang, Wenfeng Song, Shuai Li et al.
Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities
Alberto Purpura, Li Wang, Sahil Badyal et al.
Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models
Bo Wang, Junzhuo Li, Hong Chen et al.
DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF
Ziyuan Gao, Di Liang, Xianjie Wu et al.
Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space
Zhongnan Weng, Yue Hong, Hang Yu et al.
Decoupling Continual Semantic Segmentation
Yifu Guo, Yuquan Lu, Wentao Zhang et al.