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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

Metalearning with Very Few Samples Per Task COLT 2024
Blind Image Quality Assessment Based on Geometric Order Learning CVPR 2024
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations COLT 2024
Location-Aware Self-Supervised Transformers for Semantic Segmentation WACV 2024
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining WACV 2024
Distortion-Disentangled Contrastive Learning WACV 2024
Depth Separation in Norm-Bounded Infinite-Width Neural Networks COLT 2024
Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition WACV 2024
Embedding Task Structure for Action Detection WACV 2024
FinderNet: A Data Augmentation Free Canonicalization Aided Loop Detection and Closure Technique for Point Clouds in 6-DOF Separation. WACV 2024
Enhancing Diverse Intra-Identity Representation for Visible-Infrared Person Re-Identification WACV 2024
Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment WACV 2024
Nonlinear spiked covariance matrices and signal propagation in deep neural networks COLT 2024
On Train-Test Class Overlap and Detection for Image Retrieval CVPR 2024
MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning WACV 2024
MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning WACV 2024
DPPMask: Masked Image Modeling With Determinantal Point Processes WACV 2024
Modality-Aware Representation Learning for Zero-Shot Sketch-Based Image Retrieval WACV 2024
Learning Robust Deep Visual Representations From EEG Brain Recordings WACV 2024
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration WACV 2024
Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024
Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation WACV 2024
Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species WACV 2024
Disentangled Pre-Training for Image Matting WACV 2024