Co-occurring keywords · papers mentioning both
Papers
Content-aware Information Compression and Selection for Whole Slide Image Analysis
AAAI 2026
How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation
AAAI 2026
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
EMNLP 2025
Large Language Model Evaluation via Matrix Nuclear-Norm
EMNLP 2025
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models
AAAI 2025
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
AAAI 2024
Diversity-Measurable Anomaly Detection
CVPR 2023
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
ACL 2023
Span-based Named Entity Recognition by Generating and Compressing Information
EACL 2023
PAC-Bayes Information Bottleneck
ICLR 2022
UKPGAN: A General Self-Supervised Keypoint Detector
CVPR 2022
Compressive Visual Representations
NeurIPS 2021
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
ICLR 2020
Estimating Information Flow in Deep Neural Networks
ICML 2019
Improving Neural Abstractive Document Summarization with Structural Regularization
EMNLP 2018