conftrace_
← Keywords

representation learning

6206 papers

Explore in graph

Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation ACL 2024
Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024
Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance ACL 2024
Towards the TopMost: A Topic Modeling System Toolkit ACL 2024
Fine-Tuning Pre-Trained Language Models with Gaze Supervision ACL 2024
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering ACL 2024
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