AAAI

Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners)

Markus Brill, Rupert Freeman, Vincent Conitzer

Journal ref Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), pages 418-424. AAAI Press, 2016

Fine-grained Generalization Analysis of Vector-valued Learning

Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft

Comments To appear in AAAI 2021

Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics

Sourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing

Comments 10 pages, 6 figures, To Appear in Proceedings of AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences, March 22-24, 2021

Generating Natural Language Attacks in a Hard Label Black Box Setting

Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi

Comments Accepted at AAAI 2021 (Main Conference)

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney

Journal ref AAAI 2021

Multi-view Inference for Relation Extraction with Uncertain Knowledge

Bo Li, Wei Ye, Canming Huang, Shikun Zhang

Comments Published at AAAI 2021, full paper

Sparsity Aware Normalization for GANs

Idan Kligvasser, Tomer Michaeli

Comments AAAI Conference on Artificial Intelligence (AAAI-21)

Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities

Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed

Comments Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2021)

Neural Sequence-to-grid Module for Learning Symbolic Rules

Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung

Comments 9 pages, 9 figures, AAAI 2021

TextGAIL: Generative Adversarial Imitation Learning for Text Generation

Qingyang Wu, Lei Li, Zhou Yu

Comments AAAI 2021

Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence

Navid Rekabsaz, Robert West, James Henderson, Allan Hanbury

Comments In proceedings of the International AAAI Conference on Web and Social Media (ICWSM) 2021

We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI

Julian Posada, Nicholas Weller, Wendy H. Wong

Journal ref Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES '21)

Contextualized Rewriting for Text Summarization

Guangsheng Bao, Yue Zhang

Journal ref AAAI 2021

Treatment effect estimation with disentangled latent factors

Weijia Zhang, Lin Liu, Jiuyong Li

Comments Published in the Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21)

An Efficient Algorithm for Deep Stochastic Contextual Bandits

Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

Comments Accepted by AAAI 2021 Appendix uploaded

Political Discussion is Abundant in Non-political Subreddits (and Less Toxic)

Ashwin Rajadesingan, Ceren Budak, Paul Resnick

Comments Accepted at ICWSM 2021 (International AAAI Conference on Web and Social Media)

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT

Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

Journal ref AAAI 2020

Inefficiency of K-FAC for Large Batch Size Training

Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney

Journal ref AAAI 2020

Learning Interpretable Models for Coupled Networks Under Domain Constraints

Hongyuan You, Sikun Lin, Ambuj K. Singh

Comments 10 pages, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021)

Political Depolarization of News Articles Using Attribute-aware Word Embeddings

Ruibo Liu, Lili Wang, Chenyan Jia, Soroush Vosoughi

Comments In Proceedings of the 15th International AAAI Conference on Weblogs and Social Media (ICWSM 2021)

DropLoss for Long-Tail Instance Segmentation

Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen, Jia-Bin Huang

Comments Code at https://github.com/timy90022/DropLoss

Journal ref AAAI 2021

Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections

Dominik Peters

Comments 10 pages, camera-ready version at AAAI-18, superseded by article "Preferences Single-Peaked on a Circle" with Martin Lackner, JAIR 2020

A Recipe for Global Convergence Guarantee in Deep Neural Networks

Kenji Kawaguchi, Qingyun Sun

Comments Published in AAAI 2021

A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation

Jinyeong Chae, Ki Yong Hong, Jihie Kim

Comments Accepted by AAAI 2021 Workshop

FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning

Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie

Comments AAAI 2021

Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images

Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro

Comments AAAI 2021

Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents

Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro

Comments AAAI 2021

Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition

Eunjeong Koh, Shlomo Dubnov

Comments AAAI Workshop on Affective Content Analysis 2021 Camera Ready Version

Journal ref AAAI 2021

Interactive Speech and Noise Modeling for Speech Enhancement

Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu

Comments AAAI 2021 (Accepted)

Disentangled Motif-aware Graph Learning for Phrase Grounding

Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang

Comments 10 pages, 6 figures, AAAI 2021 conference