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

Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery AAAI 2025

Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision AAAI 2025

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings ACL 2025

In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images AAAI 2025

Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding ACL 2025

Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space AAAI 2025

SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction ACL 2025

Spectral State Space Model for Rotation-Invariant Visual Representation Learning CVPR 2025

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey ACL 2025

De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation CVPR 2025

Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-Based Indoor Localization WACV 2025

Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks AAAI 2025

Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data AAAI 2025

Towards Utilising a Range of Neural Activations for Comprehending Representational Associations WACV 2025

Memory-Efficient Continual Learning with Neural Collapse Contrastive WACV 2025

Structural Entropy Guided Probabilistic Coding AAAI 2025

Max-Mahalanobis Anchors Guidance for Multi-View Clustering AAAI 2025

Tuned Contrastive Learning WACV 2025

Learning Robust and Privacy-Preserving Representations via Information Theory AAAI 2025

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification AAAI 2025

Exploring the Stability Gap in Continual Learning: The Role of the Classification Head WACV 2025

VG-SSL: Benchmarking Self-Supervised Representation Learning Approaches for Visual Geo-Localization WACV 2025

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination JMLR 2025

scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction (Student Abstract) AAAI 2025

Linear Separation Capacity of Self-Supervised Representation Learning JMLR 2025