Papers
20,003 papers found
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.
DECON: Reconstruction of Clothed-Geometric Multiple Humans from a Single Image via Geometry-Guided Decoupling
Yiming Jiang, Wenfeng Song, Shuai Li 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.
Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory
Mutian Yang, Jiandong Gao, Ji Wu
Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving
Jiacheng Tang, Mingyue Feng, Jiachao Liu et al.
Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data
Yiran Pang, Zhen Ni, Xiangnan Zhong
Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
Zhenyu Zhang, Guangyao Chen, Yixiong Zou et al.
Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning
Li Wang, Changhao Zhang, Zengqi Xiu et al.
Decoupling What to Count and Where to See for Referring Expression Counting
Yuda Zou, Zijian Zhang, Yongchao Xu
DEEP: A Discourse Evolution Engine for Predictions About Social Movements
Valerio La Gatta, Marco Postiglione, Jeremy Gilbert et al.
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
Daojun Liang, Jing Chen, Xiao Wang et al.
Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint
Zixuan Bi, Yang Zhao, Ganchao Liu
Deeper Treatment of the Bi-objective Search Framework
Shawn Skyler, Dor Atzmon, Ariel Felner et al.
Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction
Wentao Gao, Xiongren Chen, Xiaojing Du et al.
DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening
Zhixiang Lu, Yulong Li, Feilong Tang et al.
Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning
Zijun Chen, Wenbo Hu, Richang Hong
Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment
Yiming Du, Ziyu Wang, Jian Li et al.