Poster "information bottleneck" Papers
12 papers found
Conference
Calibrating LLMs with Information-Theoretic Evidential Deep Learning
Yawei Li, David Rügamer, Bernd Bischl et al.
ICLR 2025arXiv:2502.06351
4
citations
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
Ronghao Lin, Qiaolin He, Sijie Mai et al.
NEURIPS 2025arXiv:2602.04920
MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
Zeyue Zhang, Heng Ping, Peiyu Zhang et al.
NEURIPS 2025
Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval
Jian Xiao, Zijie Song, Jialong Hu et al.
NEURIPS 2025arXiv:2505.12499
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
Yue Hou, He Zhu, Ruomei Liu et al.
NEURIPS 2025arXiv:2510.14562
A Rate-Distortion View of Uncertainty Quantification
Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen et al.
ICML 2024arXiv:2406.10775
3
citations
Efficient Multitask Dense Predictor via Binarization
Yuzhang Shang, Dan Xu, Gaowen Liu et al.
CVPR 2024arXiv:2405.14136
6
citations
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
Sheng Xu, Mingze Wang, Yanjing Li et al.
ICML 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
Kaituo Feng, Changsheng Li, Dongchun Ren et al.
CVPR 2024arXiv:2403.01238
15
citations
RMIB: Representation Matching Information Bottleneck for Matching Text Representations
Haihui Pan, zhifang Liao, Wenrui Xie et al.
ICML 2024
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
Yancheng Wang, Ping Li, Yingzhen Yang
ICML 2024
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
ECCV 2024arXiv:2402.13616
3033
citations