AAAI

PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers

Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park

Comments Accepted to the 37th AAAI Conference on Artificial Intelligence (AAAI 2023) Main Track, DLDE-II NeurIPS 2022 Workshop (Spotlight), https://namgyukang.github.io/PIXEL/ (Project Page), https://github.com/NamGyuKang/CosineSampler (Customized CUDA) (17 pages, 17 figures)

Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility

Wai Tuck Wong, Sarah Kinsey, Ramesha Karunasena, Thanh Nguyen, Arunesh Sinha

Comments To appear in AAAI-23 Special Track on Safe and Robust AI

Weakly-guided Self-supervised Pretraining for Temporal Activity Detection

Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua

Comments Published as a conference paper at AAAI 2023

Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding

Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen

Comments Accepted to AAAI 2023 conference

Commonsense-Aware Prompting for Controllable Empathetic Dialogue Generation

Yiren Liu, Halil Kilicoglu

Comments Accepted to Workshop on Knowledge Augmented Methods for Natural Language Processing, in conjunction with AAAI 2023

Continual Learning with Scaled Gradient Projection

Gobinda Saha, Kaushik Roy

Comments Accepted at AAAI 2023

Journal ref Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence (2023)

Trash to Treasure: Using text-to-image models to inform the design of physical artefacts

Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman

Comments 6 pages, 7 figures, In proceedings of the 37th AAAI Conference on Artificial Intelligence

Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer

Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Bo Ren, Shu-Tao Xia

Comments AAAI 2023 (Oral presentation paper). Updated version

CEM: Commonsense-aware Empathetic Response Generation

Sahand Sabour, Chujie Zheng, Minlie Huang

Comments Accepted to AAAI 2022

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 2022

Quantum exploration algorithms for multi-armed bandits

Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs

Comments 18 pages, 1 figure. To appear in the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 10102-10110 (2021)

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)

Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao

Comments 2 pages, 5 figures, to be published in AAAI-23 Student Abstract and Poster Program

PAC learning and stabilizing Hedonic Games: towards a unifying approach

Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio

Comments Accepted paper at AAAI 2023

Recurrent Structure Attention Guidance for Depth Super-Resolution

Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

Comments Accepted by AAAI-2023

Structure Flow-Guided Network for Real Depth Super-Resolution

Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

Comments Accepted by AAAI-2023

Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection

Lei Zhang, Yuxuan Sun, Wei Wei

Comments Accepted by Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection

Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung

Comments Accepted to the 37th AAAI Conference on Artificial Intelligence (AAAI 2023) Main Track

Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval

Yizhen Chen, Jie Wang, Lijian Lin, Zhongang Qi, Jin Ma, Ying Shan

Comments Accepted to AAAI 2023 (Oral)

AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio

Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li

Comments Accepted by Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

Towards Inference Efficient Deep Ensemble Learning

Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li

Comments 11 pages, accepted in AAAI 2023

Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic

Xuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei

Comments 12 pages, 4 figures. To be published in the 17th International AAAI Conference on Web and Social Media (ICWSM)

ACL-Fig: A Dataset for Scientific Figure Classification

Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles

Comments 6 pages, 4 figures, accepted by the AAAI-23 Workshop on Scientific Document Understanding

Benefits of Multiobjective Learning in Solar Energy Prediction

Aswin Kannan

Comments 8 pages

Journal ref Proceedings of the AI2SE, AAAI, 2023

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation

Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu

Comments accepted to AAAI 2023

Reachability Analysis of Neural Network Control Systems

Chi Zhang, Wenjie Ruan, Peipei Xu

Comments accepted by AAAI 2023

Policy-Adaptive Estimator Selection for Off-Policy Evaluation

Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno

Comments accepted at AAAI'23

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation

Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora

Comments AAAI'23

Model-based Offline Reinforcement Learning with Local Misspecification

Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill

Comments Accepted by AAAI-23

Semi-Automated Construction of Food Composition Knowledge Base

Jason Youn, Fangzhou Li, Ilias Tagkopoulos

Comments Accepted at AAAI-23 Workshop

AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning

Tairan He, Weiye Zhao, Changliu Liu

Journal ref AAAI 2023

Solving the HP model with Nested Monte Carlo Search

Milo Roucairol, Tristan Cazenave

Comments Accepted to AAAI's workshop AI2ASE 2023: 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering. 6 pages, 1 for references