AAAI 2023

2,023 papers

Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data

Katie Rosman, Daniel B. Neill

Counterfactual Fairness Is Basically Demographic Parity

Lucas Rosenblatt, R. Teal Witter

EINNs: Epidemiologically-Informed Neural Networks

Alexander Rodriguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash

FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms

Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui

For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network

Zihao Pan, Kai Peng, Shuai Ling, Haipeng Zhang

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering

Duy M. H. Nguyen, Hoang Nguyen, Truong T. N. Mai, Tri Cao, Binh T. Nguyen

Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy

Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli

Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims

Kshitij Mishra, Priyanshu Priya, Asif Ekbal

Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network

Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen

LUCID: Exposing Algorithmic Bias through Inverse Design

Carmen Mazijn, Carina Prunkl, Andres Algaba, Jan Danckaert, Vincent Ginis

Bugs in the Data: How ImageNet Misrepresents Biodiversity

Alexandra Sasha Luccioni, David Rolnick

A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning

Feng Lu, Wei Li, Zhiqiang Zhou, Cheng Song, Yifei Sun

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability

Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery

Yunchao (Lance) Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax

Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification

Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen

Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery

Zhili Li, Yiqun Xie, Xiaowei Jia, Kara Stuart, Caroline Delaire

Accurate Fairness: Improving Individual Fairness without Trading Accuracy

Xuran Li, Peng Wu, Jing Su

Equivariant Message Passing Neural Network for Crystal Material Discovery

Astrid Klipfel, Zied Bouraoui, Olivier Peltre, Yaël Fregier, Najwa Harrati

Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program

Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance

Vanshaj Khattar, Ming Jin

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging

Jared Katzman, Angelina Wang, Morgan Scheuerman, Su Lin Blodgett, Kristen Laird

Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction

Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang

Low Emission Building Control with Zero-Shot Reinforcement Learning

Scott Jeen, Alessandro Abate, Jonathan M. Cullen

Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto

Weimin Huang, Elias B. Khalil

MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis

Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang

“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion

Zexue He, An Yan, Amilcare Gentili, Julian McAuley, Chun-nan Hsu

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction

Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin

GAN-Based Domain Inference Attack

Yuechun Gu, Keke Chen

Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning

Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, changjun jiang

Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations

Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo

SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection

Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, YI-Kuan Hsieh, Bor-Shiun Wang

Leveraging Old Knowledge to Continually Learn New Classes in Medical Images

Evelyn Chee, Mong Li Lee, Wynne Hsu

Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference

Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra Ghani, Samir Bhatt

Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks

Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander

Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network

Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng

Counterfactuals for the Future

Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich

Rehabilitating Homeless: Dataset and Key Insights

Anna Bykova, Nikolay Filippov, Ivan P. Yamshchikov

A Fair Incentive Scheme for Community Health Workers

Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai

Improving Fairness in Information Exposure by Adding Links

Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi

On the Cost of Demographic Parity in Influence Maximization

Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi

On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects

Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup

Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts

Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Qian Yang

COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning

Shivangi Aneja, Chris Bregler, Matthias Niessner

An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation

Tianyu Zong, Likun Zhang

KPT: Keyword-Guided Pre-training for Grounded Dialog Generation

Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li

A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning

Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu

Improving Distantly Supervised Relation Extraction by Natural Language Inference

Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li

Event Process Typing via Hierarchical Optimal Transport

Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao

Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling

Ce Zheng, Yiming Wang, Baobao Chang

Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment

Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin

MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER

Shan Zhao, Chengyu Wang, Minghao Hu, Tianwei Yan, Meng Wang

Language Model Pre-training on True Negatives

Zhuosheng Zhang, Hai Zhao, Masao Utiyama, Eiichiro Sumita

A Neural Span-Based Continual Named Entity Recognition Model

Yunan Zhang, Qingcai Chen

Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data

Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao

Multi-Action Dialog Policy Learning from Logged User Feedback

Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang

Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction

Liang Zhang, Jinsong Su, Zijun Min, Zhongjian Miao, Qingguo Hu

MPMQA: Multimodal Question Answering on Product Manuals

Liang Zhang, Anwen Hu, Jing Zhang, Shuo Hu, Qin Jin

Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation

Junwei Zhang, Ruifang He, Fengyu Guo

Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification

Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng

Preserve Context Information for Extract-Generate Long-Input Summarization Framework

Ruifeng Yuan, Zili Wang, Ziqiang Cao, Wenjie Li

On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models

Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li

FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering

Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou

What Does Your Face Sound Like? 3D Face Shape towards Voice

Zhihan Yang, Zhiyong Wu, Ying Shan, Jia Jia

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection

Tao Yang, JInghao Deng, Xiaojun Quan, Qifan Wang

A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging

Fengyi Yang, Xi Zhou, Yating Yang, Bo Ma, Rui Dong

Nested Named Entity Recognition as Building Local Hypergraphs

Yukun Yan, Bingling Cai, Sen Song

Improving Biomedical Entity Linking with Cross-Entity Interaction

Zhenran Xu, Yulin Chen, Baotian Hu

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension

Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su

Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement

Xinmeng Xu, Weiping Tu, Yuhong Yang

Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems

Qiancheng Xu, Min Yang, Ruifeng Xu

Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking

Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li

Dialogue Rewriting via Skeleton-Guided Generation

Chunlei Xin, Hongyu Lin, Shan Wu, Xianpei Han, Bo Chen

Factual and Informative Review Generation for Explainable Recommendation

Zhouhang Xie, Sameer Singh, Julian McAuley, Bodhisattwa Prasad Majumder

MoEC: Mixture of Expert Clusters

Yuan Xie, Shaohan Huang, Tianyu Chen, Furu Wei

Global Mixup: Eliminating Ambiguity with Clustering

Xiangjin Xie, Li Yangning, Wang Chen, Kai Ouyang, Zuotong Xie

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model

Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin

Don’t Be So Sure! Boosting ASR Decoding via Confidence Relaxation

Tomer Wullach, Shlomo E. Chazan

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing

Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling

Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liang-Ming Pan

Continual Graph Convolutional Network for Text Classification

Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-ming Wu

Identify Event Causality with Knowledge and Analogy

Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu

See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection

Lianwei Wu, Pusheng Liu, Yanning Zhang

Adversarial Self-Attention for Language Understanding

Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang

Zero-Shot Face-Based Voice Conversion: Bottleneck-Free Speech Disentanglement in the Real-World Scenario

Shao-En Weng, Hong-Han Shuai, Wen-Huang Cheng

Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning

Rongxiang Weng, Qiang Wang, Wensen Cheng, Changfeng Zhu, Min Zhang

fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation

Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke

Disentangled CVAEs with Contrastive Learning for Explainable Recommendation

Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He

Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling

Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou

Taming Continuous Posteriors for Latent Variational Dialogue Policies

Marin Vlastelica, Patrick Ernst, Gyuri Szarvas

M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist’s Mental Representations

Prashanth Vijayaraghavan, Deb Roy

Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry

Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He

Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack

Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Xin Wang, Zhiyong Feng

SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images

Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito

Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement

Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong

Contrastive Learning Reduces Hallucination in Conversations

Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke

ConvNTM: Conversational Neural Topic Model

Hongda Sun, Quan Tu, Jinpeng Li, Rui Yan

Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables

Bin Sun, Yitong Li, Fei Mi, Weichao Wang, Yiwei Li

A Latent-Variable Model for Intrinsic Probing

Karolina Stańczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein