AAAI

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation

Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu

Comments Accepted by AAAI 2022

Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks

Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong

Comments To appear in AAAI Conference on Artificial Intelligence, 2022

ALOHA: Artificial Learning of Human Attributes for Dialogue Agents

Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey

Comments AAAI 2020. Code available at https://github.com/newpro/aloha-chatbot Talk at https://www.youtube.com/watch?v=TtomrolC4Dc&ab_channel=StevenFeng

Provable Guarantees for Understanding Out-of-distribution Detection

Peyman Morteza, Yixuan Li

Comments AAAI 2022

Reconsidering Tweets: Intervening During Tweet Creation Decreases Offensive Content

Matthew Katsaros, Kathy Yang, Lauren Fratamico

Comments Accepted at the International AAAI Conference on Web and Social Media (ICWSM 2022)

The Effect of People Recommenders on Echo Chambers and Polarization

Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi

Comments To appear in: Proceedings of the International AAAI Conference on Web and Social Media, vol. 16 (ICWSM '22)

A Nested Bi-level Optimization Framework for Robust Few Shot Learning

Krishnateja Killamsetty, Changbin Li, Chen Zhao, Rishabh Iyer, Feng Chen

Comments To appear in the proceedings of AAAI 2022

Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe

Comments Extended version with proofs, accepted at AAAI 2019, added units of measurement of QM9 dataset into appendix, removed results from Wu et al., 2018 due to different units

Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents

Bengisu Guresti, Nazim Kemal Ure

Comments accepted to COMARL AAAI 2021

Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network

Hridoy Sankar Dutta, Nirav Diwan, Tanmoy Chakraborty

Comments Accepted at the International AAAI Conference on Web and Social Media (ICWSM 2022)

Target Languages (vs. Inductive Biases) for Learning to Act and Plan

Hector Geffner

Journal ref AAAI 2022

Learning Local Neighboring Structure for Robust 3D Shape Representation

Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang

Journal ref The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) (https://ojs.aaai.org/index.php/AAAI/article/view/16229)

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages

Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand

Comments Accepted in AAAI 2022 Student Abstract

Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users

Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh

Comments Accepted to appear at International Conference on Web and Social Media (AAAI ICWSM) 2022

Solving Visual Analogies Using Neural Algorithmic Reasoning

Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

Comments 20 pages. Contains extended abstract accepted at the AAAI-22 Student Abstract and Poster Program along with relevent supplementary material

PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning

Yuan Luo, Chengsheng Mao

Comments Accepted by 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

Overcoming Digital Gravity when using AI in Public Health Decisions

Sekou L Remy, Aisha Walcott-Bryant, Nelson K Bore, Charles M Wachira, Julian Kuenhert

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

OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning

Jiacheng Liang, Songze Li, Bochuan Cao, Wensi Jiang, Chaoyang He

Comments An initial version of the article has been published in International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021(http://federated-learning.org/fl-icml-2021/). This version has been submmited to AAAI'22

Justification-Based Reliability in Machine Learning

Nurali Virani, Naresh Iyer, Zhaoyuan Yang

Comments Extended version of paper accepted at AAAI 2020 with supplementary materials, update remark and fix typo

Code Representation Learning with Prüfer Sequences

Tenzin Jinpa, Yong Gao

Comments Paper has been accepted in AAAI-22 Student Abstract and Poster Program (SA-22)

Towards One Shot Search Space Poisoning in Neural Architecture Search

Nayan Saxena, Robert Wu, Rohan Jain

Comments (Student Abstract) In Proceedings of the 36th AAAI Conference on Artificial Intelligence, Vancouver, BC,Canada, 2022. arXiv admin note: substantial text overlap with arXiv:2106.14406

On The Verification of Neural ODEs with Stochastic Guarantees

Sophie Gruenbacher, Ramin Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu

Comments 12 pages, 2 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 35(13), 2021, pages 11525-11535

The Science of Rejection: A Research Area for Human Computation

Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati

Comments To appear in the Proceedings of The 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021)

PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages

Mohsin Ali, Kandukuri Sai Teja, Sumanth Manduru, Parth Patwa, Amitava Das

Comments Accepted as Student Abstract at AAAI 2022

Automatically detecting data drift in machine learning classifiers

Samuel Ackerman, Orna Raz, Marcel Zalmanovici, Aviad Zlotnick

Journal ref Originally published in proceedings of Engineering Dependable and Secure Machine Learning Systems (EDSMLS) workshop at AAAI 2019 conference

Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura

Comments 20 pages, 5 figures, to appear in the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

Shared Model of Sense-making for Human-Machine Collaboration

Gheorghe Tecuci, Dorin Marcu, Louis Kaiser, Mihai Boicu

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

DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy

Sai Gurrapu, Feras A. Batarseh, Pei Wang, Md Nazmul Kabir Sikder, Nitish Gorentala, Gopinath Munisamy

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

NeuralArTS: Structuring Neural Architecture Search with Type Theory

Robert Wu, Nayan Saxena, Rohan Jain

Comments (Student Abstract) In Proceedings of the 36th AAAI Conference on Artificial Intelligence, Vancouver, BC,Canada, 2022

A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction

Marco Matarese, Francesco Rea, Alessandra Sciutti

Comments Presented at AI-HRI symposium as part of AAAI-FSS 2021 (arXiv:2109.10836)