AAAI

Text to Point Cloud Localization with Relation-Enhanced Transformer

Guangzhi Wang, Hehe Fan, Mohan Kankanhalli

Comments 9 pages, 5 figures, accepted to AAAI-2023

Blind Judgement: Agent-Based Supreme Court Modelling With GPT

Sil Hamilton

Comments To appear in the proceedings of the AAAI-23 Workshop on Creative AI Across Modalities

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

Xinmeng Xu, Weiping Tu, Yuhong Yang

Comments Accepted by AAAI 2023

Out-Of-Distribution Detection Is Not All You Need

Joris Guérin, Kevin Delmas, Raul Sena Ferreira, Jérémie Guiochet

Journal ref Proceedings of the AAAI conference on artificial intelligence (2023), Feb 2022, Washington DC, United States

Is AI Art Another Industrial Revolution in the Making?

Alexis Newton, Kaustubh Dhole

Comments Accepted to Creative AI Across Modalities Workshop 2023, Thirty-Seventh AAAI Conference on Artificial Intelligence

Sparse Coding in a Dual Memory System for Lifelong Learning

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Comments Camera ready version - "Thirty-Seventh AAAI Conference on Artificial Intelligence" (AAAI-2023)

Safe Policy Improvement for POMDPs via Finite-State Controllers

Thiago D. Simão, Marnix Suilen, Nils Jansen

Comments Accecpted at AAAI 2023

SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation

Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min, Euntai Kim

Comments Accepted to AAAI 2023

Learnable Path in Neural Controlled Differential Equations

Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim

Comments Accepted by AAAI 2023

Deep Generative Multimedia Children's Literature

Matthew L. Olson

Comments AAAI 2023 Workshop on Creative AI Across Modalities

EINNs: Epidemiologically-informed Neural Networks

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

Comments Appears in AAAI 2023

Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers

Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi

Comments AAAI 2023

From Continual Learning to Causal Discovery in Robotics

Luca Castri, Sariah Mghames, Nicola Bellotto

Comments Accepted by AAAI-23 Bridge Program on Continual Causality

Transformers as Policies for Variable Action Environments

Niklas Zwingenberger

Comments Accepted to AAAI Conference for Artificial Intelligence for Interactive Digital Entertainment (AIIDE) 2022 Workshop

AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection

Wenjie Yin, Vibhor Agarwal, Aiqi Jiang, Arkaitz Zubiaga, Nishanth Sastry

Comments accepted at ICWSM 2023

Journal ref 17th International AAAI Conference on Web and Social Media (ICWSM 2023). Please cite accordingly

ePA*SE: Edge-based Parallel A* for Slow Evaluations

Shohin Mukherjee, Sandip Aine, Maxim Likhachev

Comments Proceedings of the International Symposium on Combinatorial Search (SoCS) 2022

Journal ref International Symposium on Combinatorial Search, vol. 15, no. 1. AAAI Press, 2022, pp. 136-144

Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification

Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song

Comments Accepted in AAAI-23

Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings

Yeskendir Koishekenov

Comments To be published in The Ninth International Workshop on Deep Learning on Graphs: Method and Applications (DLG-AAAI'23)

How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection

Lorenzo Perini, Daniele Giannuzzi, Jesse Davis

Comments Paper presented at the 1st AAAI Workshop on Uncertainty Reasoning and Quantification in Decision Making

"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning

Raphael Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi, Pietro Michiardi

Comments 7 pages. AAAI'23 - 2nd International Workshop on Practical Deep Learning in the Wild

StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection

Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai

Comments Accepted by AAAI-2023

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks

Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar

Comments AAAI - 2022

Journal ref AAAI, vol. 36, no. 1, pp. 589-597, Jun. 2022

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise

Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang

Comments AAAI-23

SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph

Yuxing Long, Binyuan Hui, Fulong Ye, Yanyang Li, Zhuoxin Han, Caixia Yuan, Yongbin Li, Xiaojie Wang

Comments AAAI 2023

Multi-Task Learning for Budbreak Prediction

Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Markus Keller, Alan Fern

Comments Accepted at AIFS Workshop AAAI 2023. arXiv admin note: text overlap with arXiv:2209.10585

fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems

Isaac Tamblyn, Tengkai Yu, Ian Benlolo

Comments To appear at AAAI-23 Bridge Program: AI for Financial Services, Washington D.C., February 7 - 8, 2023

READ: Aggregating Reconstruction Error into Out-of-distribution Detection

Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang

Comments Accepted to AAAI 2023

I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs

Dongjin Lee, Kijung Shin

Comments Published at AAAI 2023

Holistic Adversarial Robustness of Deep Learning Models

Pin-Yu Chen, Sijia Liu

Comments survey paper on holistic adversarial robustness for deep learning; published at AAAI 2023 Senior Member Presentation Track

Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption

Matthias Mitterreiter, Marcel Koch, Joachim Giesen, Sören Laue

Comments To appear in AAAI 2023