107 results on '"Hospedales, Timothy M."'
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2. Beyond Classical Domain Adaptation
3. Domain Generalization
4. Traditional Methods
5. Self-Based Learning for DA
6. Learning to Learn Across Domains
7. Deep Domain Adaptation
8. Theoretical Background
9. Motivation
10. Visual Domain Adaptation in the Deep Learning Era
11. Fairness meets Cross-Domain Learning: a Benchmark of Models and Metrics
12. Hypernetwork Knowledge Graph Embeddings
13. Universal Sketch Perceptual Grouping
14. Deep Factorised Inverse-Sketching
15. Accelerating Self-Supervised Learning via Efficient Training Strategies
16. Uncertainty-aware Source-free Domain Adaptive Semantic Segmentation
17. Deep Learning for Free-Hand Sketch: A Survey
18. Behavioral Repertoire via Generative Adversarial Policy Networks
19. Zero-Shot Crowd Behavior Recognition
20. Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives
21. Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
22. Self-Supervised Representation Learning: Introduction, advances, and challenges
23. Visual Domain Adaptation in the Deep Learning Era
24. Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation
25. An Evaluation of Self-Supervised Learning for Portfolio Diversification
26. Partial Index Tracking: A Meta-Learning Approach
27. On Calibration of Mathematical Finance Models by Hypernetworks
28. Mixture of Normalizing Flows for European Option Pricing
29. Investigating Open-World Person Re-identification Using a Drone
30. A Simple Feature Augmentation for Domain Generalization
31. Searching for Robustness: Loss Learning for Noisy Classification Tasks
32. Interestingness Prediction by Robust Learning to Rank
33. The Re-identification Challenge
34. Attributes-Based Re-identification
35. Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation
36. Weakly Supervised Learning of Objects, Attributes and Their Associations
37. On Learning Semantic Representations for Large-Scale Abstract Sketches
38. Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
39. How Well Do Self-Supervised Models Transfer?
40. Fine-Grained Instance-Level Sketch-Based Video Retrieval
41. Toward Fine-Grained Sketch-Based 3D Shape Retrieval
42. Meta-Learning in Neural Networks: A Survey
43. Towards Person Identification and Re-identification with Attributes
44. Attribute Learning for Understanding Unstructured Social Activity
45. A Unifying Theory of Active Discovery and Learning
46. Learning Rare Behaviours
47. Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
48. Pixelor
49. Unlimited Resolution Image Generation with R2D2-GANs
50. Fine-Grained Instance-Level Sketch-Based Image Retrieval
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