AAAI

Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints

Yuhao Ding, Javad Lavaei

Comments 32 pages, AAAI 2023

Distributionally Robust Learning with Stable Adversarial Training

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li

Comments Accepted by Transactions on Knowledge and Data Engineering. Extension of AAAI paper (arXiv:2006.04414v2). arXiv admin note: substantial text overlap with arXiv:2006.04414

Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping

Kira Vinogradova, Alexandr Dibrov, Gene Myers

Comments 2 pages, 2 figures. AAAI 2020 camera-ready

Journal ref Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, Feb 2020

Reaching Individually Stable Coalition Structures

Felix Brandt, Martin Bullinger, Anaëlle Wilczynski

Comments A preliminary version of this article appeared in the Proceedings of the 35th AAAI Conference on Artificial Intelligence (2021)

ChartParser: Automatic Chart Parsing for Print-Impaired

Anukriti Kumar, Tanuja Ganu, Saikat Guha

Comments Submitted at Scientific Document Understanding Workshop, AAAI 2023

Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery

Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs

Journal ref AAAI Conference on Artificial Intelligence, 2021

Contrastive Learning for Climate Model Bias Correction and Super-Resolution

Tristan Ballard, Gopal Erinjippurath

Comments 6 pages, 3 figures, 2 tables. To be published in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges

On Analyzing the Role of Image for Visual-enhanced Relation Extraction

Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang

Comments Accepted by AAAI 2023 (Student Abstract)

Deep Reinforcement Learning with Vector Quantized Encoding

Liang Zhang, Justin Lieffers, Adarsh Pyarelal

Comments Submitted to AAAI-23

Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time

Liang Zhang, Justin Lieffers, Adarsh Pyarelal

Comments Presented at AAAI Fall 2021 Symposium on ToM for Teams, to be published as a chapter in a Springer volume

A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors

Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri

Comments 6 pages, power data, state identification, Accepted to appear - Nov 2022

Journal ref Proc. Thirty-Fifth Annual Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI-23), Washington DC, USA, 2023

Multi-modal Protein Knowledge Graph Construction and Applications

Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang

Comments Accepted by AAAI 2023 (Student Abstract). Dataset available in https://zjunlp.github.io/project/ProteinKG65/

ConceptX: A Framework for Latent Concept Analysis

Firoj Alam, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Abdul Rafae Khan, Jia Xu

Comments AAAI 23

Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning

Pedro Sequeira, Jesse Hostetler, Melinda Gervasio

Comments Appears in Proceedings of AAAI FSS-22 Symposium "Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA)"

nBIIG: A Neural BI Insights Generation System for Table Reporting

Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer

Comments Accepted to AAAI-23

A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets

Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl

Comments Accepted in AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM 2023)

SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory

Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro

Comments Accepted at AAAI 2022 (Oral)

Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders

Yongqiang Mao, Xian Sun, Kaiqiang Chen, Wenhui Diao, Zonghao Guo, Xiaonan Lu, Kun Fu

Comments AAAI Workshop 2022

Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations

Hammaad Adam, Ming Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi

Journal ref Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2022)

Boundary Proposal Network for Two-Stage Natural Language Video Localization

Shaoning Xiao, Long Chen, Songyang Zhang, Wei Ji, Jian Shao, Lu Ye, Jun Xiao

Comments AAAI 2021

Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios

Cinthia Sánchez, Hernan Sarmiento, Andres Abeliuk, Jorge Pérez, Barbara Poblete

Comments Accepted at the International AAAI Conference on Web and Social Media (ICWSM 2023)

Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation

George Kour, Marcel Zalmanovici, Orna Raz, Samuel Ackerman, Ateret Anaby-Tavor

Comments Accepted to EDSMLS workshop at AAAI conference

Unsupervised Editing for Counterfactual Stories

Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li

Comments Accepted to AAAI 2022

LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification

Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li

Comments Accepted to AAAI 2022

Commonsense Knowledge from Scene Graphs for Textual Environments

Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori

Comments AAAI-22 Workshop on Reinforcement Learning in Games

A Symbolic Representation of Human Posture for Interpretable Learning and Reasoning

Richard G. Freedman, Joseph B. Mueller, Jack Ladwig, Steven Johnston, David McDonald, Helen Wauck, Ruta Wheelock, Hayley Borck

Comments Accepted for presentation at the AAAI 2022 Fall Symposium Series, in the symposium for Artificial Intelligence for Human-Robot Interaction

Explainability in autonomous pedagogically structured scenarios

Minal Suresh Patil

Comments Explainable Agency in Artificial Intelligence Workshop - 36th AAAI Conference on Artificial Intelligence

Modelling Control Arguments via Cooperation Logic in Unforeseen Scenarios

Minal Suresh Patil

Comments Thinking Fast and Slow in AI - AAAI 2022 Fall Symposium Series

AI-HRI Brings New Dimensions to Human-Aware Design for Human-Aware AI

Richard G. Freedman

Comments Accepted for presentation at the AAAI 2022 Fall Symposium Series, in the symposium for Artificial Intelligence for Human-Robot Interaction

Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem

Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy, Eliana Cohen, Howie Choset, Lu Li

Comments 9 pages, 6 figures, submitted to AAAI 2023