AAAI

Label Hallucination for Few-Shot Classification

Yiren Jian, Lorenzo Torresani

Comments Accepted by AAAI 2022. Code is available: https://github.com/yiren-jian/LabelHalluc

Interpretable Privacy Preservation of Text Representations Using Vector Steganography

Geetanjali Bihani

Comments Accepted at AAAI 2022 Doctoral Consortium

Augmentation-Free Self-Supervised Learning on Graphs

Namkyeong Lee, Junseok Lee, Chanyoung Park

Comments AAAI 2022

Context-Aware Transfer Attacks for Object Detection

Zikui Cai, Xinxin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif

Comments accepted to AAAI 2022

Requirements for Open Political Information: Transparency Beyond Open Data

Andong Luis Li Zhao, Andrew Paley, Rachel Adler, Harper Pack, Sergio Servantez, Alexander Einarsson, Cameron Barrie, Marko Sterbentz, Kristian Hammond

Comments Presented at AAAI FSS-21: Artificial Intelligence in Government and Public Sector, Washington, DC, USA

Scaling Up Influence Functions

Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov

Comments Published at AAAI-22

A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce

Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi

Comments In Annual Conference on Innovative Applications of Artificial Intelligence (IAAI)/ AAAI Conference on Artificial Intelligence (AAAI) 2022. arXiv admin note: substantial text overlap with arXiv:2104.08581

Reliable Propagation-Correction Modulation for Video Object Segmentation

Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu

Comments 13 pages, 8 figures, AAAI 2022 Accepted

Search and Learn: Improving Semantic Coverage for Data-to-Text Generation

Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou

Comments Accepted by AAAI'22

One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning

Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu

Comments Accepted by AAAI 2022

Journal ref AAAI 2022

Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration

Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas

Comments To appear at the 36th AAAI Conference on Artificial Intelligence (AAAI-22)

A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications

Yun-Hao Cao, Jianxin Wu

Comments Accepted by AAAI-2022

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning

Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye

Comments Accepted by AAAI 2022

Clustering Interval-Censored Time-Series for Disease Phenotyping

Irene Y. Chen, Rahul G. Krishnan, David Sontag

Comments AAAI 2022

Fast Graph Neural Tangent Kernel via Kronecker Sketching

Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo

Comments AAAI 2022

Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation

Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu

Comments Accepted by AAAI 2022, preprint version, first two authors contribute equally

Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks

Biyang Liu, Huimin Yu, Yangqi Long

Comments Accepted by AAAI-2022

Vision Transformers are Robust Learners

Sayak Paul, Pin-Yu Chen

Comments Accepted to AAAI 2022. Sayak Paul and Pin-Yu Chen contributed equally to this work. Code available at https://github.com/sayakpaul/robustness-vit

Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations

Aditya Kalyanpur, Tom Breloff, David Ferrucci

Comments Accepted at AAAI-2022

TransZero: Attribute-guided Transformer for Zero-Shot Learning

Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You

Comments Accepted to AAAI'22

Memotion Analysis through the Lens of Joint Embedding

Nethra Gunti, Sathyanarayanan Ramamoorthy, Parth Patwa, Amitava Das

Comments Accepted as Student Abstract at AAAI-22

Self-Supervised Pretraining for RGB-D Salient Object Detection

Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan

Comments This work was accepted by AAAI 2022

InsCLR: Improving Instance Retrieval with Self-Supervision

Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang

Comments Accepted by AAAI 2022

Stationary Diffusion State Neural Estimation for Multiview Clustering

Chenghua Liu, Zhuolin Liao, Yixuan Ma, Kun Zhan

Comments AAAI 2022

Journal ref AAAI 2022

Advancing Artificial Intelligence and Machine Learning in the U.S. Government Through Improved Public Competitions

Ezekiel J. Maier

Comments Presented at AAAI FSS-21: Artificial Intelligence in Government and Public Sector, Washington, DC, USA

Local Justice and the Algorithmic Allocation of Societal Resources

Sanmay Das

Comments To appear in AAAI 2022 (Senior Member Track, Blue Sky paper)

Bayesian Optimization over Permutation Spaces

Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim

Comments Accepted at AAAI 2022

ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton

Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng

Comments Accepted by AAAI 2022, code is available at https://github.com/wywyWang/ShuttleNet

ProtGNN: Towards Self-Explaining Graph Neural Networks

Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee

Comments Accepted by AAAI'22

GoTube: Scalable Stochastic Verification of Continuous-Depth Models

Sophie Gruenbacher, Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A. Henzinger, Scott Smolka, Radu Grosu

Comments Accepted to the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)