Papers
DisenQ: Disentangling Q-Former for Activity-Biometrics
Shehreen Azad, Yogesh Singh Rawat
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation
Xuan Rao, Shuo Shang, Lisi Chen et al.
Disentangled Clothed Avatar Generation with Layered Representation
Weitian Zhang, Yichao Yan, Sijing Wu et al.
Disentangled Information Bottleneck for Adversarial Text Defense
Yidan Xu, Xinghao Yang, Wei Liu et al.
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
Guangze Ye, Wen Wu, Guoqing Wang et al.
Disentangled Motion Modeling for Video Frame Interpolation
Jaihyun Lew, Jooyoung Choi, Chaehun Shin et al.
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
Hao Dong, Ziyue Qiao, Zhiyuan Ning et al.
Disentangled Pose and Appearance Guidance for Multi-Pose Generation
Tengfei Xiao, Yue Wu, Yuelong Li et al.
Disentangled Representation Learning with the Gromov-Monge Gap
Théo Uscidda, Luca Eyring, Karsten Roth et al.
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location
Na Yu, Yutong Deng, Shunyu Liu et al.
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
Qi Wang, Zhipeng Zhang, Baao Xie et al.
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
Yuwen He, Wei Wang, Wanyu Wu et al.
Disentangle Source and Target Knowledge for Continual Test-Time Adaptation
Tianyi Ma, Maoying Qiao
Disentangle to Decay: Linear Attention with Trainable Decay Factor
Haibo Tong, Chenyang Zhang, Jiayi Lin et al.
Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables
Joshua Huang Wu, Hari Koneru, James Russell Ravenel et al.
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
Zheyuan Liu, Suraj Maharjan, Fanyou Wu et al.
Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models
Yangge Qian, Yilong Hu, Siqi Zhang et al.
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
Youngjun Jun, Jiwoo Park, Kyobin Choo et al.
Disentangling Instance and Scene Contexts for 3D Semantic Scene Completion
Enyu Liu, En Yu, Sijia Chen et al.
Disentangling Language and Culture for Evaluating Multilingual Large Language Models
Jiahao Ying, Wei Tang, Yiran Zhao et al.
Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French
Jacob A. Matthews, Laurent Dubreuil, Imane Terhmina et al.
Disentangling Language Understanding and Reasoning Structures in Cross-lingual Chain-of-Thought Prompting
Khanh-Tung Tran, Nguyet-Hang Vu, Barry O’Sullivan et al.
Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings
Saniya Karwa, Navpreet Singh