| 2023 | WeaGAN: Weather-Aware Graph Attention Network for Traffic Prediction. | Yuxi Wang, Yuan Luo |
| 2023 | Attention Based Models for Cell Type Classification on Single-Cell RNA-Seq Data. | Tianxu Wang, Yue Fan, Xiuli Ma |
| 2023 | SDV: Simple Double Validation Model-Based Offline Reinforcement Learning. | Xun Wang, Haonan Chen, Junming Yang, Zhuzhong Qian, Bolei Zhang |
| 2023 | A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction. | Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang |
| 2023 | How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? | Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu |
| 2023 | Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. | Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka |
| 2023 | A Convolutional Neural Network Approach to General Game Playing. | Yu Wang, Heng Zhang, Guifei Jiang |
| 2023 | Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. | Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song |
| 2023 | Fair Few-Shot Learning with Auxiliary Sets. | Song Wang, Jing Ma, Lu Cheng, Jundong Li |
| 2023 | Complying with the EU AI Act. | Jacintha Walters, Diptish Dey, Debarati Bhaumik, Sophie Horsman |
| 2023 | Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives. | Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou |
| 2023 | Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework. | Julian Vexler, Stefan Kramer |
| 2023 | Random Sample as a Pre-pilot Evaluation of Benefits and Risks for AI in Public Sector. | Steven Vethman, Marianne Schaaphok, Marissa Hoekstra, Cor J. Veenman |
| 2023 | Neuro-Symbolic Procedural Semantics for Reasoning-Intensive Visual Dialogue Tasks. | Lara Verheyen, Jrme Botoko Ekila, Jens Nevens, Paul Van Eecke, Katrien Beuls |
| 2023 | A Logic-Based Framework for Explainable Agent Scheduling Problems. | Stylianos Loukas Vasileiou, Borong Xu, William Yeoh |
| 2023 | PLEASE: Generating Personalized Explanations in Human-Aware Planning. | Stylianos Loukas Vasileiou, William Yeoh |
| 2023 | On the Learning Dynamics of Attention Networks. | Rahul Vashisht, Harish G. Ramaswamy |
| 2023 | SCRAPS: Speech Contrastive Representations of Acoustic and Phonetic Spaces. | Ivn Valls-Prez, Grzegorz Beringer, Piotr Bilinski, Gary Cook, Roberto Barra-Chicote |
| 2023 | Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation. | Svitlana Vakulenko, Bill Byrne, Adri de Gispert |
| 2023 | Towards Evaluating Policy Optimisation Agents Using Algorithmic Intelligence Quotient Test. | Ondrej Vadinsk, Petr Zeman |
| 2023 | Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation. | Nguyen Anh Tu, Hoang Thi Thu Uyen, Tu Minh Phuong, Ngo Xuan Bach |
| 2023 | Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection. | Geng Tu, Bin Liang, Xiucheng Lyu, Lin Gui, Ruifeng Xu |
| 2023 | Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering. | Abhisek Tiwari, Aman Bhansali, Sriparna Saha, Pushpak Bhattacharyya, Preeti Verma, Minakshi Dhar |
| 2023 | NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse. | Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Usman Naseem, Mehwish Nasim |
| 2023 | Tab-Attention: Self-Attention-Based Stacked Generalization for Imbalanced Credit Default Prediction. | Yandan Tan, Hongbin Zhu, Jie Wu, Hongfeng Chai |