| 2023 | ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval. | Zhen Liu, Yongxin Zhu, Zhujin Gao, Xin Sheng, Linli Xu |
| 2023 | Improving Machine Translation and Summarization with the Sinkhorn Divergence. | Shijie Li, Inigo Jauregi Unanue, Massimo Piccardi |
| 2023 | Bayesian Optimization over Mixed Type Inputs with Encoding Methods. | Zhihao Liu, Weiming Ou, Songhao Wang |
| 2023 | Document-Level Relation Extraction with Cross-sentence Reasoning Graph. | Hongfei Liu, Zhao Kang, Lizong Zhang, Ling Tian, Fujun Hua |
| 2023 | CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection. | Chien-Liang Liu, Hung-Yu Kao |
| 2023 | Reduction from Complementary-Label Learning to Probability Estimates. | Wei-I Lin, Hsuan-Tien Lin |
| 2023 | What Boosts Fake News Dissemination on Social Media? A Causal Inference View. | Yichuan Li, Kyumin Lee, Nima Kordzadeh, Ruocheng Guo |
| 2023 | Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. | Palla Likhitha, Veena Pamalla, Rage Uday Kiran, Koji Zettsu |
| 2023 | A Relational Instance-Based Clustering Method with Contrastive Learning for Open Relation Extraction. | Xiaoge Li, Dayuan Guo, Tiantian Wang |
| 2023 | Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge. | Quan Li, Lingwei Chen, Yong Cai, Dinghao Wu |
| 2023 | Multi-Augmentation Contrastive Learning as Multi-Objective Optimization for Graph Neural Networks. | Xu Li, Yongsheng Chen |
| 2023 | Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. | Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa |
| 2023 | MixER: MLP-Mixer Knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link Prediction. | Thanh Le, An Pham, Tho Chung, Truong Nguyen, Tuan Nguyen, Bac Le |
| 2023 | Petrel: Personalized Trend Line Estimation with Limited Labels from One Individual. | Tong-Yi Kuo, Hung-Hsuan Chen |
| 2023 | Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval. | Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yang, Min Tang, Penghui Hao |
| 2023 | Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data. | Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda |
| 2023 | A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules. | Rage Uday Kiran, Abinash Maharana, Krishna Reddy Polepalli |
| 2023 | Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. | Tae-Hyung Kim, Woo-Jeoung Nam, Seong-Whan Lee |
| 2023 | Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. | Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang |
| 2023 | Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. | Neel Kanwal, Trygve Eftestl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan |
| 2023 | F3: Fair and Federated Face Attribute Classification with Heterogeneous Data. | Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, Sujit Gujar |
| 2023 | Isotropic Representation Can Improve Dense Retrieval. | Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee |
| 2023 | Relations Between Adjacency and Modularity Graph Partitioning. | Hansi Jiang, Carl Meyer |
| 2023 | Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking. | Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, U Kang |
| 2023 | Defending Against Backdoor Attacks by Layer-wise Feature Analysis. | Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li |