Papers
100 papers found
DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning
Ruixuan Gao, Qijun Zhao, Keren Fu
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
Jie Li, Kwan-Yee K. Wong, Kai Han
SurfDist: Interpretable Three-Dimensional Instance Segmentation Using Curved Surface Patches
Jackson Borchardt, Saul Kato
Ultra-Low-Dimensional Prompt Tuning via Random Projection
Zijun Wu, Yongchang Hao, Lili Mou
KidsArtBench: Multi-Dimensional Children’s Art Evaluation with Attribute-Aware MLLMs
Mingrui Ye, Chanjin Zheng, Zengyi Yu et al.
H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational Agents
Zihe Ye, Jingyuan Huang, Weixin Chen et al.
VoiceCloak: A Multi-Dimensional Defense Framework Against Unauthorized Diffusion-Based Voice Cloning
Qianyue Hu, Junyan Wu, Wei Lu et al.
CLM-Access: A Specialized Foundation Model for High-Dimensional Single-Cell ATAC-Seq Analysis
Ziqiang Liu, Bowen Li, Zhenyu Xu et al.
Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
Kaixi Tian, Shengjia Zhao, Yuhan Zhang et al.
Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space
Zhicheng Cai, Hao Zhu, Linsen Chen et al.
TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
Yunxiao Wang, Meng Liu, Wenqi Liu et al.
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
Jiazheng Xu, Yu Huang, Jiale Cheng et al.
Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
Zuqing Li, Junhao Gan, Jianzhong Qi
Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection
Zhaowei Liu, Leilei Jiang, Haitao Yang
DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions
Jitong Dou, Lingrui Luo, Bing Zhu et al.
Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data
Rui Huang, Dian Meng, Xun Zhou et al.
On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples
Cheongjae Jang, Jonghyun Won, Soyeon Jun et al.
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
Wenyu Liu, Tianqiang Huang, Pengfei Zhang et al.
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang et al.
HiNCoT: Hierarchical Nonlinear Continuous Transform-based Tensor Representation for Multi-Dimensional Data Recovery
Tao Yang, Weihao Wu, Tingzhu Huang
BidMatch: Boosting Semi-Supervised Learning by Bi-Dimensional Sample Weight Guidance
Xianling Yang, Zhiwen Yu, Sun Song et al.
Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing
Hao Yin, Hongjie He, Fan Chen
GAHMN: A Generative Approach for High-Dimensional Mediation Analysis
Jiaming Zhang, Yiqi Lin, Rou Zhang et al.
WenetSpeech-Yue: A Large-Scale Cantonese Speech Corpus with Multi-dimensional Annotation
Longhao Li, Zhao Guo, Hongjie Chen et al.
Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation
Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa et al.