NEURIPS 2025 "vector quantization" Papers
7 papers found
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Xi Zhang, Xiaolin Wu, Jiamang Wang et al.
NEURIPS 2025posterarXiv:2510.20984
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
Hongjia Liu, Rongzhen Zhao, Haohan Chen et al.
NEURIPS 2025posterarXiv:2505.20772
2
citations
Optimized Minimal 3D Gaussian Splatting
Joo Chan Lee, Jong Hwan Ko, Eunbyung Park
NEURIPS 2025posterarXiv:2503.16924
3
citations
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
Honglin Li, Zhongyi Shui, Yunlong Zhang et al.
NEURIPS 2025posterarXiv:2503.06482
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
Zukang Xu, Xing Hu, Qiang Wu et al.
NEURIPS 2025posterarXiv:2510.01240
TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling
Yuancheng Wang, Dekun Chen, Xueyao Zhang et al.
NEURIPS 2025posterarXiv:2508.16790
5
citations
VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models
Haichao Zhang, Yun Fu
NEURIPS 2025oralarXiv:2503.16980
3
citations