157 results on '"Jongwuk Lee"'
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2. MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation.
3. Multi-Granularity Guided Fusion-in-Decoder.
4. Multi-intent-aware Session-based Recommendation.
5. It Ain't Over: A Multi-aspect Diverse Math Word Problem Dataset.
6. GLEN: Generative Retrieval via Lexical Index Learning.
7. CompeteNet: Siamese Networks for Predicting Win-Loss Outcomes in Baseball Games.
8. Toward a Better Understanding of Loss Functions for Collaborative Filtering.
9. Forgetting-aware Linear Bias for Attentive Knowledge Tracing.
10. uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
11. ConQueR: Contextualized Query Reduction using Search Logs.
12. It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation.
13. CoMix: Collaborative filtering with mixup for implicit datasets.
14. Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks.
15. Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation.
16. Self-supervised Multimodal Graph Convolutional Network for collaborative filtering.
17. Logit Mixing Training for More Reliable and Accurate Prediction.
18. SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval.
19. Long-tail Mixup for Extreme Multi-label Classification.
20. S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks.
21. FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation.
22. Abstractive Summarization of Korean Legal Cases using Pre-trained Language Models.
23. Bilateral Self-unbiased Learning from Biased Implicit Feedback.
24. Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation.
25. Large-scale tucker Tensor factorization for sparse and accurate decomposition.
26. An Empirical Study for Class Imbalance in Extreme Multi-label Text Classification.
27. Session-aware Linear Item-Item Models for Session-based Recommendation.
28. Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation.
29. MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories.
30. Local Collaborative Autoencoders.
31. Dual Unbiased Recommender Learning for Implicit Feedback.
32. Analyzing Deep Neural Networks with Noisy Labels.
33. Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision.
34. Decoupled word embeddings using latent topics.
35. Diversity regularized autoencoders for text generation.
36. Optimizing Read Operations of Hadoop Distributed File System on Heterogeneous Storages.
37. Distilling from professors: Enhancing the knowledge distillation of teachers.
38. Dual Neural Personalized Ranking.
39. Collaborative Distillation for Top-N Recommendation.
40. Characterization and Early Detection of Evergreen News Articles.
41. S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks.
42. MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation.
43. l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items.
44. Improving the Performance of Knowledge Tracing Models using Quantized Correctness Embeddings
45. IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering.
46. Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions.
47. CrowdSky: Skyline Computation with Crowdsourcing.
48. 'Told you i didn't like it': Exploiting uninteresting items for effective collaborative filtering.
49. Analyzing crowdsourced promotion effects in online social networks.
50. CrowdK: Answering top-k queries with crowdsourcing.
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