669 results on '"Steven C. H. Hoi"'
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2. Knowledge Enhanced Vision and Language Model for Multi-Modal Fake News Detection.
3. Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks.
4. Continual Learning, Fast and Slow.
5. Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting.
6. CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.
7. HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
8. Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models.
9. CodeT5+: Open Code Large Language Models for Code Understanding and Generation.
10. From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models.
11. Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models.
12. RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.
13. LAVIS: A One-stop Library for Language-Vision Intelligence.
14. OTW: Optimal Transport Warping for Time Series.
15. C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues.
16. Learning Deep Time-index Models for Time Series Forecasting.
17. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.
18. Merlion: End-to-End Machine Learning for Time Series.
19. Active Perception for Visual-Language Navigation.
20. Learning Structural Representations for Recipe Generation and Food Retrieval.
21. Improving Tail-Class Representation with Centroid Contrastive Learning.
22. RegNet: Self-Regulated Network for Image Classification.
23. Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.
24. Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training.
25. BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems.
26. Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5.
27. Learning Label Modular Prompts for Text Classification in the Wild.
28. Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps.
29. Align and Prompt: Video-and-Language Pre-training with Entity Prompts.
30. Multimodal Dialogue State Tracking.
31. VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems.
32. Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval.
33. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.
34. Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text.
35. Masked Unsupervised Self-training for Label-free Image Classification.
36. Learning Fast and Slow for Online Time Series Forecasting.
37. BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.
38. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.
39. Responsible AI for Trusted AI-powered Enterprise Platforms.
40. A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains.
41. Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism.
42. Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains.
43. A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment.
44. A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.
45. Distilled Siamese Networks for Visual Tracking.
46. Deep Learning for Person Re-Identification: A Survey and Outlook.
47. Collaborative Refining for Person Re-Identification With Label Noise.
48. Cross-Modal Graph With Meta Concepts for Video Captioning.
49. PyRCA: A Library for Metric-based Root Cause Analysis.
50. LogAI: A Library for Log Analytics and Intelligence.
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