conftrace_

self-supervised learning

3751 papers

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Also known as

SS SSL SELF-SL

Co-occurring keywords

representation learning (6174) contrastive learning (3979) transfer learning (5442) unsupervised learning (3255) graph neural network (3945) domain adaptation (4578) multimodal learning (4622) semantic segmentation (3179) depth estimation (1540) knowledge distillation (3680)

Papers

Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning AAAI 2026

FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations AAAI 2026

Understanding the Management of Rape Trauma with AI and Neuroimaging AAAI 2026

Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation AAAI 2026

On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition AAAI 2026

Uncertainty-Propelled Physics-MAE Fusion for Self-Supervised Diffusion-Weighted Image Denoising AAAI 2026

VasoMIM: Vascular Anatomy-Aware Masked Image Modeling for Vessel Segmentation AAAI 2026

Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding AAAI 2026

DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination AAAI 2026

Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection AAAI 2026

MaRS: A Multi-modality Very-high-resolution Remote Sensing Foundation Model with Cross-Granularity Meta-Modality Learning AAAI 2026

MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification AAAI 2026

ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration AAAI 2026

Cyto-SSL: A Self-Supervised Pretraining Framework for Cytology Foundation Model AAAI 2026

Reimagining Anomalies: What If Anomalies Were Normal? AAAI 2026

Self-supervised Multiplex Consensus Mamba for General Image Fusion AAAI 2026

K-ProtoDiff: Key Prototypes-Guided Diffusion for Time Series Generation AAAI 2026

Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration AAAI 2026

DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance AAAI 2026

Parameter-Free Clustering via Self-Supervised Consensus Maximization AAAI 2026

MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging AAAI 2026

Towards Robust, Reliable, and Generalized Medical AI AAAI 2026

Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications AAAI 2026

Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation AAAI 2026

Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction AAAI 2026