AAAI

Expected Eligibility Traces

Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa

Comments AAAI, distinguished paper award

Out-of-Town Recommendation with Travel Intention Modeling

Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong

Comments Accepted by AAAI-2021

AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses

Zixuan Xu, Banghuai Li, Miao Geng, Ye Yuan

Comments To appear in AAAI 2021

Journal ref AAAI 2021

In-Loop Meta-Learning with Gradient-Alignment Reward

Samuel Müller, André Biedenkapp, Frank Hutter

Comments Accepted to Meta Learning Workshop at AAAI

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Journal version of arXiv:1811.06186 (AAAI 2019). Code is available at https://github.com/AbnerHqC/GaitSet

Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching

Mingi Ji, Byeongho Heo, Sungrae Park

Comments 10 page, AAAI 2021

The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance

Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna

Comments 8 pages, 6 figures. Accepted at the 5th International Workshop on Health Intelligence in conjunction with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)

Identity-aware Graph Neural Networks

Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec

Comments AAAI 2021. Version with appendix

Camera-aware Proxies for Unsupervised Person Re-Identification

Menglin Wang, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua

Comments Accepted to AAAI 2021. Code is available at: https://github.com/Terminator8758/CAP-master

Turbocharging Treewidth-Bounded Bayesian Network Structure Learning

Vaidyanathan P. R., Stefan Szeider

Comments 15 pages, 4 figures, 3 tables. To be published in AAAI 2021. Updated: synced with AAAI version. Source code available at http://github.com/aditya95sriram/bn-slim

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency

Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

Comments Accepted to AAAI 2021. Code/dataset/models are available at https://github.com/SeokjuLee/Insta-DM. arXiv admin note: substantial text overlap with arXiv:1912.09351

CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval

Hai X. Pham, Ricardo Guerrero, Jiatong Li, Vladimir Pavlovic

Comments 22 pages, accepted in AAAI 2021

Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access Track in DSTC9

Seokhwan Kim, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tur

Comments To be presented at AAAI-21 DSTC9 Workshop. arXiv admin note: substantial text overlap with arXiv:2006.03533, arXiv:2011.06486

Model-agnostic Fits for Understanding Information Seeking Patterns in Humans

Soumya Chatterjee, Pradeep Shenoy

Comments 8 pages, 9 figures. AAAI 2021

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization

Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren

Comments AAAI 2021

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process

Rui Zhang, Christian Walder, Marian-Andrei Rizoiu

Comments AAAI-20

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 04. 2020

Learning to Select External Knowledge with Multi-Scale Negative Sampling

Huang He, Hua Lu, Siqi Bao, Fan Wang, Hua Wu, Zhengyu Niu, Haifeng Wang

Comments To be presented at AAAI-21 DSTC9 Workshop. First two authors contributed equally to this work

Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation

Yuhang Ding, Xin Yu, Yi Yang

Comments AAAI 2021

Variance Penalized On-Policy and Off-Policy Actor-Critic

Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup

Comments Accepted to the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021

Semantic Grouping Network for Video Captioning

Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo

Comments AAAI 2021

Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition

Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang

Comments An expanded version of the same-name paper accepted by AAAI-2021

Optimistic and Adaptive Lagrangian Hedging

Ryan D'Orazio, Ruitong Huang

Comments To be presented at the workshop on reinforcement learning and games at the AAAI 2021 conference

Metrics and continuity in reinforcement learning

Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

Comments Accepted at AAAI 2021

The Limits of Global Inclusion in AI Development

Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang

Comments AAAI 2021 Workshop on Reframing Diversity in AI

MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations

Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi

Comments 7 pages, AAAI-21

"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision

Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit Sheth

Comments Accepted to AAAI-2021 Symposium

Fast Training of Provably Robust Neural Networks by SingleProp

Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel

Comments Published at AAAI 2021

Identifying COVID-19 Fake News in Social Media

Tathagata Raha, Vijayasaradhi Indurthi, Aayush Upadhyaya, Jeevesh Kataria, Pramud Bommakanti, Vikram Keswani, Vasudeva Varma

Comments CONSTRAINT@AAAI

Self-correcting Q-Learning

Rong Zhu, Mattia Rigotti

Comments Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)

Paragraph-level Commonsense Transformers with Recurrent Memory

Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi

Comments AAAI 2021