← Learning Types
Deep Learning › Learning Types ›

Self-Supervised Learning

2959 directly classified papers

Papers per year

Papers

Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data AAAI 2024
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding AAAI 2024
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition AAAI 2024
Deep Learning on Graphs: A Data-Centric Exploration AAAI 2024
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration AAAI 2024
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping AAAI 2024
Cycle-Consistency Learning for Captioning and Grounding AAAI 2024
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning AAAI 2024
Plug-In Diffusion Model for Sequential Recommendation AAAI 2024
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations AAAI 2024
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection AAAI 2024
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification AAAI 2024
Large Occluded Human Image Completion via Image-Prior Cooperating AAAI 2024
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution AAAI 2024
TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions AAAI 2024
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024
LMD: Faster Image Reconstruction with Latent Masking Diffusion AAAI 2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA AAAI 2024
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction AAAI 2024
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget AAAI 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity AAAI 2024
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos AAAI 2024