Papers with Code 아카이브
Mutual Information Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
To estimate mutual information from samples, specially for high-dimensional variables.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
Meta-Statistical Learning: Supervised Learning of Statistical Inference
InfoBridge: Mutual Information estimation via Bridge Matching
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data
Disentangled Noisy Correspondence Learning
Artifact Feature Purification for Cross-domain Detection of AI-generated Images
Mutual Information Estimation via Normalizing Flows
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
On the Properties and Estimation of Pointwise Mutual Information Profiles
MINDE: Mutual Information Neural Diffusion Estimation
Rethinking Negative Pairs in Code Search
On regularized Radon-Nikodym differentiation
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
Subgraph Networks Based Contrastive Learning
On the Effectiveness of Hybrid Mutual Information Estimation
Mutual Information Estimation via $f$-Divergence and Data Derangements
Computing high-dimensional optimal transport by flow neural networks
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies
Copula Density Neural Estimation
Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations
Improving Adversarial Robustness via Mutual Information Estimation
Representation Learning with Information Theory for COVID-19 Detection
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization
Mutual information estimation for graph convolutional neural networks
A Perspective on Neural Capacity Estimation: Viability and Reliability
Neural Topic Modeling with Deep Mutual Information Estimation
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection
Compressed Predictive Information Coding
Graph Representation Learning via Aggregation Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.