AAAI

An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA

Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang

Comments AAAI 2022 (Oral Presentation)

MDM: Molecular Diffusion Model for 3D Molecule Generation

Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong

Comments Submitted to AAAI'23

Learning Affects Trust: Design Recommendations and Concepts for Teaching Children -- and Nearly Anyone -- about Conversational Agents

Jessica Van Brummelen, Mingyan Claire Tian, Maura Kelleher, Nghi Hoang Nguyen

Comments 9 pages, 11 figures, submitted to EAAI at AAAI 2023, for associated appendix: https://gist.github.com/jessvb/e35bc0daf859c30f73008a1ad1b37824

DANets: Deep Abstract Networks for Tabular Data Classification and Regression

Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu

Comments @inproceedings{danets, title={DANets: Deep Abstract Networks for Tabular Data Classification and Regression}, author={Chen, Jintai and Liao, Kuanlun and Wan, Yao and Chen, Danny Z and Wu, Jian}, booktitle={AAAI}, year={2022} }

Fairness in Forecasting and Learning Linear Dynamical Systems

Quan Zhou, Jakub Marecek, Robert N. Shorten

Journal ref Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

"Dummy Grandpa, do you know anything?": Identifying and Characterizing Ad hominem Fallacy Usage in the Wild

Utkarsh Patel, Animesh Mukherjee, Mainack Mondal

Comments Proceedings of the 17th International AAAI Conference on Web and Social Media

Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search

Lucas N. Ferreira, Lili Mou, Jim Whitehead, Levi H. S. Lelis

Comments Accepted for publication at the 18th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-22)

DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction

Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang

Comments 16 pages, accepted by AAAI 2022 (https://ojs.aaai.org/index.php/AAAI/article/view/19939), with technical appendix

Towards Adversarial Purification using Denoising AutoEncoders

Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti

Comments Submitted to AAAI 2023

Eliciting and Learning with Soft Labels from Every Annotator

Katherine M. Collins, Umang Bhatt, Adrian Weller

Comments Accepted as a Full Paper at the 2022 AAAI Conference on Human Computation and Crowdsourcing

Journal ref Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. Vol. 10. 2022

FairFoody: Bringing in Fairness in Food Delivery

Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi

Comments Appeared in Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022

Deep Reinforced Attention Learning for Quality-Aware Visual Recognition

Duo Li, Qifeng Chen

Comments A related work (DIANet in AAAI-20) should be discussed and cited

OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu

Comments Accepted by AAAI 2022

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 36(1):625-633, June 2022

TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs

Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu

Comments To be published in AAAI-2022, additionally contains technical appendices/supplementary material

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 36(6), 6819-6828,2022

Multi-view Intent Disentangle Graph Networks for Bundle Recommendation

Sen Zhao, Wei Wei, Ding Zou, Xianling Mao

Journal ref Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022

SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems

Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu

Comments AAAI 2022

Journal ref Lee, H., Gupta, R., Rastogi, A., Cao, Y., Zhang, B., & Wu, Y. (2022). SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 36(10), 10938-10946

Representation Learning with Graph Neural Networks for Speech Emotion Recognition

Junghun Kim, Jihie Kim

Comments AAAI 2022 Workshop on Graphs and More Complex Structures for Learning and Reasoning (GCLR)

Robust Tests in Online Decision-Making

Gi-Soo Kim, Hyun-Joon Yang, Jane P. Kim

Comments 17 pages, 1 figure, supplementary material for "Robust Tests in Online Decision-Making" published in Proceedings of the AAAI Conference on Artificial Intelligence (2022)

Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations

Siddhant Arora, Danish Pruthi, Norman Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig

Comments AAAI 2022

A Fast Algorithm for PAC Combinatorial Pure Exploration

Noa Ben-David, Sivan Sabato

Comments Full version of paper accepted to AAAI-22

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 36(6), 6064--6071, 2022

Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel $k$-means, and Heat Kernel

Shota Saito

Comments Extended version of our AAAI-22 paper; This version includes more examples and explanations. Proofs are also attached

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 36(7), 8141-8149 (2022)

Hypergraph $p$-Laplacian: A Differential Geometry View

Shota Saito, Danilo P Mandic, Hideyuki Suzuki

Comments Extended version of our AAAI-18 paper

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 3984-3991 (2018)

CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks

Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan Oseledets

Comments In Proceedings of AAAI-22, the Thirty-Sixth AAAI Conference on Artificial Intelligence

Journal ref 36 AAAI Conference on Artificial Intelligence AAAI-2022

Double-oracle sampling method for Stackelberg Equilibrium approximation in general-sum extensive-form games

Jan Karwowski, Jacek Mańdziuk

Journal ref Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, 2054-2061

Automatically Creating a Large Number of New Bilingual Dictionaries

Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita

Comments 7 pages

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, vol. 29, no. 1. 2015

Coordination-driven learning in multi-agent problem spaces

Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher

Comments AAAI Fall Symposium 2018, Concept Paper

Journal ref Proceedings of the AAAI Fall 2018 Sympo?sium on Adversary-Aware Learning Techniques and Trends in Cy?bersecurity, Arlington, VA, USA, 18-19 October, 2018, published at http://ceur-ws.org

Regret Analysis for Hierarchical Experts Bandit Problem

Qihan Guo, Siwei Wang, Jun Zhu

Comments 14 pages, 2 figures, submitted to AAAI 2023

Visual Heart Rate Estimation from RGB Facial Video using Spectral Reflectance

Bharath Ramakrishnan, Ruijia Deng, Hassan Ali

Comments Submitted as a student abstract to AAAI 2023

Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes

Stelios Triantafyllou, Adish Singla, Goran Radanovic

Comments In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES22)

Learning Modular Structures That Generalize Out-of-Distribution

Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian

Comments Accepted at AAAI 2022 Student Abstract and Poster Program