Applications

Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking ACML 2023 Deep Semi-Supervised Metric Learning With Mixed Label Propagation CVPR 2023 Detecting Sources of Healthcare Associated Infections AAAI 2023 DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model NeurIPS 2023 Dimensions of Online Conflict: Towards Modeling Agonism EMNLP 2023 Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023 Disentangled Representation Learning for Unsupervised Neural Quantization CVPR 2023 Distributed Community Detection in Large Networks JMLR 2023 Diversity Maximization in the Presence of Outliers AAAI 2023 DocSplit: Simple Contrastive Pretraining for Large Document Embeddings EMNLP 2023 Domain Generalization via Switch Knowledge Distillation for Robust Review Representation ACL 2023 Dramatic Conversation Disentanglement ACL 2023 DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation ICML 2023 Dual Personalization on Federated Recommendation IJCAI 2023 Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation AAAI 2023 Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023 Dynamic Open-book Prompt for Conversational Recommender System EMNLP 2023 Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method JMLR 2023 Early Discovery of Disappearing Entities in Microblogs ACL 2023 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout AAAI 2023 EDIS: Entity-Driven Image Search over Multimodal Web Content EMNLP 2023 Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 2023 Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits AAAI 2023 Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023 EINNs: Epidemiologically-Informed Neural Networks AAAI 2023