AAAI

Heterogeneous-Branch Collaborative Learning for Dialogue Generation

Yiwei Li, Shaoxiong Feng, Bin Sun, Kan Li

Comments Accepted by AAAI 2023

Finding Similar Exercises in Retrieval Manner

Tongwen Huang, Xihua Li, Chao Yi, Xuemin Zhao, Yunbo Cao

Comments 37th Conference on AAAI 2023 Artificial Intelligence for Education(AI4Edu)

Journal ref 37th Conference on AAAI 2023 Artificial Intelligence for Education(AI4Edu)

Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis

Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

Comments To appear in the Proceedings of the AAAI Conference on Artificial Intelligence, 2023

Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach

Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang, Ye Liu, Miaohui Wang

Journal ref AAAI 2023

Practical Cross-System Shilling Attacks with Limited Access to Data

Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li

Comments AAAI 2023

Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation

Jinwoo Bae, Sungho Moon, Sunghoon Im

Comments Accepted to AAAI 2023

Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective

Xiaokang Chen, Jiaxiang Tang, Jingbo Wang, Gang Zeng

Comments Accepted to AAAI 2022

Learning-Augmented Algorithms for Online Steiner Tree

Chenyang Xu, Benjamin Moseley

Comments To appear in AAAI 2022

Human in the Loop for Machine Creativity

Neo Christopher Chung

Comments 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021), Blue Sky Ideas track

Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning

Furkan Kaynar, Sudarshan Rajagopalan, Shaobo Zhou, Eckehard Steinbach

Comments Presented at the AAAI Workshop on Artificial Intelligence for User-Centric Assistance in at-Home Tasks (2023)

Non-IID Transfer Learning on Graphs

Jun Wu, Jingrui He, Elizabeth Ainsworth

Comments Accepted by AAAI-23

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In-So Kweon, Dong-Geol Choi

Comments 10 pages, 3 figures, Accepted on AAAI 2023

Learning towards Selective Data Augmentation for Dialogue Generation

Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan

Comments 9 pages, 4 figures, AAAI 2023

Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling

Yifei Zhang, Neng Gao, Cunqing Ma

Comments To be appeared in AAAI 2023

Learning Relational Causal Models with Cycles through Relational Acyclification

Ragib Ahsan, David Arbour, Elena Zheleva

Comments Published in the 37th AAAI Conference on Artificial Intelligence (AAAI 2023)

Journal ref AAAI 2023

The Price of Connectivity in Fair Division

Xiaohui Bei, Ayumi Igarashi, Xinhang Lu, Warut Suksompong

Comments Appears in the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021

Journal ref SIAM Journal on Discrete Mathematics, 36(2):1156-1186 (2022)

When Do Envy-Free Allocations Exist?

Pasin Manurangsi, Warut Suksompong

Comments Appears in the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019

Journal ref SIAM Journal on Discrete Mathematics, 34(3):1505-1521 (2020)

Fairly Allocating Many Goods with Few Queries

Hoon Oh, Ariel D. Procaccia, Warut Suksompong

Comments A preliminary version appears in the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019

Journal ref SIAM Journal on Discrete Mathematics, 35(2):788-813 (2021)

Who Can Win a Single-Elimination Tournament?

Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams

Comments A preliminary version appeared in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016

Journal ref SIAM Journal on Discrete Mathematics, 31(3):1751-1764 (2017)

BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition

Jiahong Zhang, Lihong Cao, Qiuxia Lai, Binyao Li, Yunxiao Qin

Comments This paper has been accepted by AAAI-2023

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

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

Comments Accepted at AAAI'23: The 37th AAAI Conference on Artificial Intelligence, 2023

High-level semantic feature matters few-shot unsupervised domain adaptation

Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang

Comments AAAI 2023

Well-classified Examples are Underestimated in Classification with Deep Neural Networks

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun

Comments Accepted by AAAI 2022; 18 pages, 11 figures, 13 tables

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

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

Comments Accepted by AAAI 2023

CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying

Weihuang Liu, Xiaodong Cun, Chi-Man Pun, Menghan Xia, Yong Zhang, Jue Wang

Comments Accepted by AAAI 2023

Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index

Anuradha Singh, Jyoti Yadav, Sarahana Shrestha, Aparna S. Varde

Journal ref AAAI 2023 the 37th AAAI Conference on Artificial Intelligence (AISG workshop)

FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning

Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou

Comments Accepted in AAAI 2023, oral

FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering

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

Comments Accepted in AAAI 2023, oral

From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds

Benjamin Doerr, Zhongdi Qu

Comments Extended version of a paper that appears in the proceedings of AAAI 2023

Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories

Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett

Comments Accepted to AAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence

Journal ref AAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023