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Representation Learning

2843 directly classified papers

Papers per year

Papers

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NIPS 2024
Layer-wise Regularized Dropout for Neural Language Models COLING 2024
An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing IJCAI 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification IJCAI 2024
An NCDE-based Framework for Universal Representation Learning of Time Series IJCAI 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis COLING 2024
Self-Supervised Representation Learning With Cross-Context Learning Between Global and Hypercolumn Features WACV 2024
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily IJCAI 2024
A Grassmannian Manifold Self-Attention Network for Signal Classification IJCAI 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
ECSIC: Epipolar Cross Attention for Stereo Image Compression WACV 2024
Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024
Learning Robust Deep Visual Representations From EEG Brain Recordings WACV 2024
One-Shot Structure-Aware Stylized Image Synthesis CVPR 2024
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification CVPR 2024
ProMotion: Prototypes As Motion Learners CVPR 2024
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation CVPR 2024
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning CVPR 2024
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis WACV 2024
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision AAAI 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024
Object Recognition as Next Token Prediction CVPR 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024
An Entropy-Based Model for Hierarchical Learning JMLR 2024