Papers
Deconstructing What Makes a Good Optimizer for Autoregressive Language Models
Rosie Zhao, Depen Morwani, David Brandfonbrener et al.
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal et al.
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
Xianhan Tan, Yu Qi, Yueming Wang
DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation
Xinghao Chen, Siwei Li, Yijing Yang et al.
Decouple and Decompose: Scaling Resource Allocation with DeDe
Zhiying Xu, Minlan Yu, Francis Y. Yan
Decouple and Track: Benchmarking and Improving Video Diffusion Transformers For Motion Transfer
Qingyu Shi, Jianzong Wu, Jinbin Bai et al.
Decoupled Diffusion Sparks Adaptive Scene Generation
Yunsong Zhou, Naisheng Ye, William Ljungbergh et al.
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
Yu Zhou, Dian Zheng, Qijie Mo et al.
DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization
Chao Zhang, Xin Shi, Xueqiao Zhang et al.
Decoupled Finetuning for Domain Generalizable Semantic Segmentation
Jaehyun Pahk, Donghyeon Kwon, Seong Joon Oh et al.
DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interaction
Miaowei Wang, Yibo Zhang, Weiwei Xu et al.
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen, Yihong Luo, Yifan Song et al.
Decoupled Imbalanced Label Distribution Learning
Yongbiao Gao, Xiangcheng Sun, Miaogen Ling et al.
Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression
Jinchang Xu, Shaokang Wang, Jintao Chen et al.
Decoupled Motion Expression Video Segmentation
Hao Fang, Runmin Cong, Xiankai Lu et al.
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
Liwei Luo, Shuaitengyuan Li, Dongwei Ren et al.
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning
Michal Nauman, Marek Cygan
Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detection
Riku Inoue, Masamitsu Tsuchiya, Yuji Yasui
Decoupled Proxy Alignment: Mitigating Language Prior Conflict for Multimodal Alignment in MLLMs
Chenkun Tan, Pengyu Wang, Shaojun Zhou et al.
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang et al.
Decoupled Subgraph Federated Learning
Javad Aliakbari, Johan Östman, Alexandre Graell i Amat
DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling
Hao Sun, Zile Qiao, Bo Wang et al.
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Qianli Ma, Xuefei Ning, Dongrui Liu et al.
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion
Yidi Liu, Dong Li, Yuxin Ma et al.