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Papers
A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
ICLR 2025
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
AAAI 2025
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
ICLR 2025
TRUST: Time-Domain Residual Unsupervised Stability Technique for Improved Heart Rate Estimation
WACV 2025
Attribute-Missing Graph Clustering Network
AAAI 2024
Non-contrastive sentence representations via self-supervision
NAACL 2024
UNSEE: Unsupervised Non-contrastive Sentence Embeddings
EACL 2024
Discovering Informative and Robust Positives for Video Domain Adaptation
ICLR 2023
Effective Targeted Attacks for Adversarial Self-Supervised Learning
NeurIPS 2023
Implicit variance regularization in non-contrastive SSL
NeurIPS 2023
Link Prediction with Non-Contrastive Learning
ICLR 2023
Non-Contrastive Learning Meets Language-Image Pre-Training
CVPR 2023
On the duality between contrastive and non-contrastive self-supervised learning
ICLR 2023
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience
CoRL 2023
Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning
NeurIPS 2022
Contrasting the landscape of contrastive and non-contrastive learning
AISTATS 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
NeurIPS 2022
Efficient Self-supervised Vision Transformers for Representation Learning
ICLR 2022
Improving Self-Supervised Learning by Characterizing Idealized Representations
NeurIPS 2022
Non-contrastive self-supervised learning of utterance-level speech representations
Interspeech 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
NeurIPS 2022
Understanding self-supervised learning dynamics without contrastive pairs
ICML 2021