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Self-Supervised Learning

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Papers

ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field AAAI 2024 Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs MIDL 2024 Compositional Generalization Across Distributional Shifts with Sparse Tree Operations NeurIPS 2024 Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification NeurIPS 2024 Conditional Instrumental Variable Regression with Representation Learning for Causal Inference ICLR 2024 Confidence-aware Hypothesis Transfer Networks for Source-Free Cross-Corpus Speech Emotion Recognition Interspeech 2024 Conformalized Time Series with Semantic Features NeurIPS 2024 Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning NeurIPS 2024 Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs NAACL 2024 Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NeurIPS 2024 Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations ICML 2024 Constrained Diffusion Models via Dual Training NeurIPS 2024 Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History EMNLP 2024 Context Shapes Emergent Communication about Concepts at Different Levels of Abstraction COLING 2024 Contextual Affinity Distillation for Image Anomaly Detection WACV 2024 Continual Contrastive Spoken Language Understanding ACL 2024 Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024 Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning CVPR 2024 Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture WACV 2024 Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation AAAI 2024 Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT NeurIPS 2024 Contrastive General Graph Matching with Adaptive Augmentation Sampling IJCAI 2024 Contrastive Learning Is Not Optimal for Quasiperiodic Time Series IJCAI 2024 Contrastive Preference Learning for Neural Machine Translation NAACL 2024 Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment CVPR 2024