← Learning Types
Deep Learning › Learning Types ›

Self-Supervised Learning

2959 directly classified papers

Papers per year

Papers

Learning Versatile Skills with Curriculum Masking NIPS 2024
Poseidon: Efficient Foundation Models for PDEs NIPS 2024
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities AAAI 2024
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NIPS 2024
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution AAAI 2024
Procedural Level Generation with Diffusion Models from a Single Example AAAI 2024
Learning Structured Representations with Hyperbolic Embeddings NIPS 2024
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning AAAI 2024
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution NIPS 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NIPS 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations AAAI 2024
Plug-In Diffusion Model for Sequential Recommendation AAAI 2024
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction NIPS 2024
CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph AAAI 2024
ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection AAAI 2024
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering NIPS 2024
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024
Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection NIPS 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery AAAI 2024
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization NIPS 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP NIPS 2024