AAAI

Evaluating Digital Agriculture Recommendations with Causal Inference

Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis

Comments Accepted at AAAI'23, AI for Social Impact Track. arXiv admin note: substantial text overlap with arXiv:2211.03195

NeAF: Learning Neural Angle Fields for Point Normal Estimation

Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han

Comments Accepted by AAAI 2023. Project page: https://lisj575.github.io/NeAF/ Code:https://github.com/lisj575/NeAF

Rephrasing the Reference for Non-Autoregressive Machine Translation

Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng

Comments AAAI 2023

Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation

Sicong Zang, Shikui Tu, Lei Xu

Comments This paper was accepted by AAAI 2023, and the source codes are available at https://github.com/CMACH508/SP-gra2seq

Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection

Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang

Comments Accepted to AAAI 2023

From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution

Jie Liu, Chao Chen, Jie Tang, Gangshan Wu

Comments SOTA lightweight image super-resolution. To be appear at AAAI 2023

Better Generalized Few-Shot Learning Even Without Base Data

Seong-Woong Kim, Dong-Wan Choi

Comments Accepted in AAAI-2023

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang

Comments Accepted by AAAI 2023

DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding

Shilong Liu, Yaoyuan Liang, Feng Li, Shijia Huang, Hao Zhang, Hang Su, Jun Zhu, Lei Zhang

Comments Accepted to AAAI 2023

Robust One-shot Segmentation of Brain Tissues via Image-aligned Style Transformation

Jinxin Lv, Xiaoyu Zeng, Sheng Wang, Ran Duan, Zhiwei Wang, Qiang Li

Comments Accepted by AAAI-2023

Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting

Pengyue Hou, Jie Han, Xingyu Li

Comments AAAI-23

Improving the Cross-Lingual Generalisation in Visual Question Answering

Farhad Nooralahzadeh, Rico Sennrich

Comments This work is accepted by the AAAI 2023

Wildfire Forecasting with Satellite Images and Deep Generative Model

Thai-Nam Hoang, Sang Truong, Chris Schmidt

Comments arXiv admin note: substantial text overlap with arXiv:2002.09219 by other authors

Journal ref AAAI 2022 Fall Symposium

Neural Integro-Differential Equations

Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica Cardin, David van Dijk

Comments 18 pages (including 8 pages Appendix), 8 figures and 6 tables. v4: Final version with reviewers' comments included, to appear in AAAI-23 (up to formatting differences)

CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU

Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You

Comments AAAI 2023

Zero-Shot Assistance in Sequential Decision Problems

Sebastiaan De Peuter, Samuel Kaski

Comments 9 pages, 8 appendix pages, 13 figures. Accepted for publication at AAAI-23

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler-Canseco, Artur Dubrawski

Comments Accepted at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)

Kalman Bayesian Neural Networks for Closed-form Online Learning

Philipp Wagner, Xinyang Wu, Marco F. Huber

Comments 37th AAAI Conference on Artificial Intelligence (AAAI)

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks

Garrett Bingham, Risto Miikkulainen

Comments To appear in AAAI 2023. 19 pages, 10 figures, 3 tables

Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations

Marissa D'Alonzo, Rebecca Russell

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

Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning

Christopher Reale, Rebecca Russell

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

NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration

Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho

Comments AAAI 2023 Demo Track; The demonstration is at https://hsiung.cc/NCTV/

Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees

Đorđe Žikelić, Mathias Lechner, Thomas A. Henzinger, Krishnendu Chatterjee

Comments Accepted at AAAI 2023

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu

Comments AAAI 2023

Which Shortcut Solution Do Question Answering Models Prefer to Learn?

Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa

Comments Accepted to AAAI 2023

Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks

Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee, Thomas A. Henzinger, Daniela Rus

Comments Accepted at AAAI 2023

Fair Division with Prioritized Agents

Xiaolin Bu, Zihao Li, Shengxin Liu, Jiaxin Song, Biaoshuai Tao

Comments 15 pages, 1 figure; accepted in AAAI'23

Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering

Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa

Comments Accepted to the KnowledgeNLP workshop at AAAI 2023

Understanding and Enhancing Robustness of Concept-based Models

Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang

Comments Accepted at AAAI 2023. Extended Version

Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data

Khurram Yamin, Nima Jadali, Dima Nazzal, Yao Xie

Comments 7 pages, 2 figures, to be published in the 2023 AAAI AI for Credible Elections Workshop