5,092 results on '"representation learning"'
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2. AmbiBias Contrast: Enhancing debiasing networks via disentangled space from ambiguity-bias clusters
3. Which is better? Taxonomy induction with learning the optimal structure via contrastive learning
4. Concept-driven representation learning model for knowledge graph completion
5. 3D Saltseg-CL: Unsupervised embedding characterization based multi-task dense prediction method for 3D salt bodies
6. A rumor propagation model based on potential behavior and multi model fusion
7. CrossCode2Vec: A unified representation across source and binary functions for code similarity detection
8. Knowledge graph-driven decision support for manufacturing process: A graph neural network-based knowledge reasoning approach
9. Multi-factor embedding GNN-based traffic flow prediction considering intersection similarity
10. Toward the ensemble consistency: Condition-driven ensemble balance representation learning and nonstationary anomaly detection for battery energy storage system
11. Multi-task self-supervised learning based fusion representation for Multi-view clustering
12. A self-improving fault diagnosis method for intershaft bearings with missing training samples
13. Towards the characterization of representations learned via capsule-based network architectures
14. Long-term self-supervised learning for accelerometer-based sleep–wake recognition
15. Learning temporal maps of dynamics for mobile robots
16. Recovering Permuted Sequential Features for effective Reinforcement Learning
17. Self-supervised in-domain representation learning for remote sensing image scene classification
18. Real face foundation representation learning for generalized deepfake detection
19. HDBind: encoding of molecular structure with hyperdimensional binary representations.
20. Mega or Micro? Influencer Selection Using Follower Elasticity.
21. DistillSleep: Leverage Self-distillation to Improve Performance After Representation Learning for Sleep Staging
22. Context-Augmented Contrastive Learning Method for Session-based Recommendation
23. Graph Fusion Based Autoencoder for Node Clustering
24. Path-Aware Siamese Graph Neural Network for Link Prediction
25. MUSE: Integrating Multi-Knowledge for Knowledge Graph Completion
26. From One to Many Lorikeets: Discovering Image Analogies in the CLIP Space
27. Learning Object Focused Attention
28. Hybrid Graph Representation Learning: Integrating Euclidean and Hyperbolic Space
29. Beta-Sigma VAE: Separating Beta and Decoder Variance in Gaussian Variational Autoencoder
30. Unsupervised Metric Learning for Expressing Color and Shape Information to Uncover Abstract Connections within Image Datasets
31. Diffusion Models as a Representation Learner for Deepfake Image Detection
32. Attention Beats Linear for Fast Implicit Neural Representation Generation
33. MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation
34. TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution
35. Panel-Specific Degradation Representation for Raw Under-Display Camera Image Restoration
36. An Information Theoretical View for Out-of-Distribution Detection
37. TSI: A Multi-view Representation Learning Approach for Time Series Forecasting
38. Do Text-Free Diffusion Models Learn Discriminative Visual Representations?
39. Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
40. S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition
41. FedHARM: Harmonizing Model Architectural Diversity in Federated Learning
42. Language-Driven Physics-Based Scene Synthesis and Editing via Feature Splatting
43. Viewpoint Modeling with Multi-task Learning for Vehicle Re-identification
44. Unsupervised Clustering Using a Variational Autoencoder with Constrained Mixtures for Posterior and Prior
45. Recovering Latent Hierarchical Relationships in Image Datasets Through Hyperbolic Embeddings
46. Free-ATM: Harnessing Free Attention Masks for Representation Learning on Diffusion-Generated Images
47. NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields
48. HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions
49. Evaluating Histopathology Foundation Models for Few-Shot Tissue Clustering: An Application to LC25000 Augmented Dataset Cleaning
50. Improving 2D Feature Representations by 3D-Aware Fine-Tuning
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