conftrace_

representation learning

6,926 papers

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Also known as

RL

Co-occurring keywords · papers mentioning both

contrastive learning (960) self-supervised learning (952) transfer learning (487) neural network (452) graph neural network (415) unsupervised learning (414) multimodal learning (327) domain adaptation (252) feature learning (216) knowledge distillation (209)

Papers

EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals NeurIPS 2024 Efficiency for Free: Ideal Data Are Transportable Representations NeurIPS 2024 Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications AAAI 2024 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning AAAI 2024 Efficient Vision-Language Pre-training by Cluster Masking CVPR 2024 Elliptical Attention NeurIPS 2024 Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition WACV 2024 Embedding Task Structure for Action Detection WACV 2024 Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion CVPR 2024 Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space NeurIPS 2024 emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation ACL 2024 Emotion-Aware Speech Self-Supervised Representation Learning with Intensity Knowledge Interspeech 2024 Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning ICLR 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 End-to-end Learnable Clustering for Intent Learning in Recommendation NeurIPS 2024 Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024 Enhancing Diverse Intra-Identity Representation for Visible-Infrared Person Re-Identification WACV 2024 Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers NeurIPS 2024 Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations ACL 2024 Enhancing In-Context Learning via Implicit Demonstration Augmentation ACL 2024 Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024 Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning IJCAI 2024 Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning AAAI 2024 Enhancing Visual Continual Learning with Language-Guided Supervision CVPR 2024 Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NeurIPS 2024