AAAI

Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding

Xiao Xu, Libo Qin, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che

Comments Accepted by AAAI 2022

MobileFaceSwap: A Lightweight Framework for Video Face Swapping

Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding

Comments AAAI 2022

Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations

Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis

Comments Accepted AAAI-22

Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic

Simon Lupart, Benoit Favre, Vassilina Nikoulina, Salah Ait-Mokhtar

Comments to be published at the AAAI-22 Workshop on Scientific Document Understanding

The King is Naked: on the Notion of Robustness for Natural Language Processing

Emanuele La Malfa, Marta Kwiatkowska

Comments AAAI 2022 main-track (full-paper)

Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate

Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit

Comments In proceedings of the 36th AAAI Conference on Artificial Intelligence

Medication Error Detection Using Contextual Language Models

Yu Jiang, Christian Poellabauer

Comments AAAI-22 workshop: W3PHIAI-22

An Ensemble Approach to Acronym Extraction using Transformers

Prashant Sharma, Hadeel Saadany, Leonardo Zilio, Diptesh Kanojia, Constantin Orăsan

Comments Published at SDU@AAAI-22

A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning

Sai Qian Zhang, Jieyu Lin, Qi Zhang

Comments To be appeared at AAAI, 2022

Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts

Shane Storks, Qiaozi Gao, Aishwarya Reganti, Govind Thattai

Comments Accepted to CLeaR Workshop @ AAAI 2022

Automated Lay Language Summarization of Biomedical Scientific Reviews

Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen

Comments Yue Guo and Wei Qiu contribute equally to this work. This paper is accepted by AAAI 2021

NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations

Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu

Comments added experiments, accepted by AAAI, Corresponding author: Kai Xu (kevin.kai.xu@gmail.com)

iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection

Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

Comments Association for the Advancement of Artificial Intelligence (AAAI), 2022

A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions

Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau

Comments 18 pages, 6 figures, 2 tables. Preprint. Accepted by AAAI-22

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting

Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth

Comments Accepted to AAAI-22

Mining Adverse Drug Reactions from Unstructured Mediums at Scale

Hasham Ul Haq, Veysel Kocaman, David Talby

Comments Accepted to W3PHIAI workshop at AAAI-22

Introducing Variational Autoencoders to High School Students

Zhuoyue Lyu, Safinah Ali, Cynthia Breazeal

Comments (Camera-ready) The 12th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-22)

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization

Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Comments Accepted by AAAI 2022

TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets

Susie Xi Rao, Johannes Rausch, Peter Egger, Ce Zhang

Comments accepted in the AAAI-22 Workshop on Scientific Document Understanding at the Thirty-Sixth AAAI Conference on Artificial Intelligence (SDU@AAAI-22)

Fractal Autoencoders for Feature Selection

Xinxing Wu, Qiang Cheng

Comments Published as a conference paper at AAAI 2021

Interpretable Low-Resource Legal Decision Making

Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu

Comments Accepted at AAAI 2022

DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training

Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

Comments Accepted in AAAI'22

Trusting Machine Learning Results from Medical Procedures in the Operating Room

Ali El-Merhi, Helena Odenstedt Hergés, Linda Block, Mikael Elam, Richard Vithal, Jaquette Liljencrantz, Miroslaw Staron

Journal ref AAAI workshop on Trustworthy AI for Healthcare 2022

Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources

Yongchun Zhu, Fuzhen Zhuang, Deqing Wang

Comments AAAI 2019 long paper. Multi-source Domain Adaptation

Neural Piecewise-Constant Delay Differential Equations

Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin

Comments 9pages, 5 figures, accepted in AAAI 2022

An Adversarial Benchmark for Fake News Detection Models

Lorenzo Jaime Yu Flores, Yiding Hao

Comments 6 pages, 2 figures, Presented at AAAI 2022, Workshop on Adversarial Machine Learning and Beyond

Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data

Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu

Comments Accepted by AAAI-2022

Anchor DETR: Query Design for Transformer-Based Object Detection

Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun

Comments Accepted to AAAI 2022

An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation

Honguk Woo, Hyunsung Lee, Sangwoo Cho

Comments Accepted at AAAI 22, 13 pages

Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure

Matteo Boffa, Zied Ben Houidi, Jonatan Krolikowski, Dario Rossi

Comments 8 pages, 7 figures, accepted at AAAI'22 GCLR 2022 workshop on Graphs and more Complex structures for Learning and Reasoning

Journal ref AAAI'22 GCLR 2022 workshop on Graphs and more Complex structures for Learning and Reasoning AAAI'22 GCLR 2022 workshop on Graphs and more Complex structures for Learning and Reasoning