AAAI

A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues

Qian Lin, Hwee Tou Ng

Comments 9 pages, 2 figures

Journal ref Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (2022)

StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts

Zhengxiang Shi, Qiang Zhang, Aldo Lipani

Comments AAAI 2022 Camera Ready

Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments

Mitas Ray, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff

Comments Accepted at AAAI 2022

RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification

Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, Prashant Singh Rana

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

A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits

Joel Q. L. Chang, Vincent Y. F. Tan

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

Text Revision by On-the-Fly Representation Optimization

Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu

Comments AAAI 2022

Video as Conditional Graph Hierarchy for Multi-Granular Question Answering

Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua

Comments AAAI'22 (Oral)

NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming

Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan

Comments Accepted in 36th AAAI Conference. 7 pages + 2 pages appendix, 1 figure. Code available at https://github.com/nsidn98/NICE

Cross-Modal Coherence for Text-to-Image Retrieval

Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone

Comments This paper is published in AAAI-2022

Consecutive Decoding for Speech-to-text Translation

Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li

Comments Accepted by AAAI 2021, 11 pages, 3 figures, 13 tables

Adjoined Networks: A Training Paradigm with Applications to Network Compression

Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang

Comments Published at AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence Code available at: https://github.com/utkarshnath/Adjoint-Network.git

Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference

Jiaxuan Li, Yue Ning

Comments To appear in Proceedings of the 16th International AAAI Conference on Web and Social Media (ICWSM)

Decentralized Mean Field Games

Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart

Comments This work is to appear in AAAI-22. Recent version has minor formatting changes and some typos corrected

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency

Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson

Comments AAAI 2022

Consensus Graph Representation Learning for Better Grounded Image Captioning

Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang

Comments 9 pages, 5 figures, AAAI 2021

Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization

Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

Comments Added link to code and missing appendix. arXiv admin note: substantial text overlap with arXiv:2008.07029

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 2020

Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings

Sean Matthews, John Hudzina, Dawn Sepehr

Comments Accepted at AAAI-22, AI for Social Impact Track

Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula

Sagar Malhotra, Luciano Serafini

Comments To Appear in The Proceedings of AAAI 2022. arXiv admin note: text overlap with arXiv:2009.12237

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee

Comments 12 pages, 7 figues, 8 tables. Accepted at AAAI 2021

Equilibrium Finding in Normal-Form Games Via Greedy Regret Minimization

Hugh Zhang, Adam Lerer, Noam Brown

Comments AAAI 2022

Regularizing Attention Networks for Anomaly Detection in Visual Question Answering

Doyup Lee, Yeongjae Cheon, Wook-Shin Han

Comments 16 pages, 7 figures, Accepted by AAAI-21

Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data

Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding

Comments AAAI 2022

Re-Examining Human Annotations for Interpretable NLP

Cheng-Han Chiang, Hung-yi Lee

Comments Explainable Agency in Artificial Intelligence Workshop, AAAI 2022

Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning

Arijit Sehanobish, Nathaniel Brown, Ishita Daga, Jayashri Pawar, Danielle Torres, Anasuya Das, Murray Becker, Richard Herzog, Benjamin Odry, Ron Vianu

Comments Accepted at 6th International Workshop on Health Intelligence, AAAI-2022. To appear in as a book chapter published by Springer in Studies in Computational Intelligence

Measuring AI Systems Beyond Accuracy

Violet Turri, Rachel Dzombak, Eric Heim, Nathan VanHoudnos, Jay Palat, Anusha Sinha

Comments 8 pages, Presented at 2022 AAAI Spring Symposium Series Workshop on AI Engineering: Creating Scalable, Human-Centered and Robust AI Systems

Constraints Penalized Q-learning for Safe Offline Reinforcement Learning

Haoran Xu, Xianyuan Zhan, Xiangyu Zhu

Comments AAAI 2022; Spotlight @ RL4RealLife Workshop ICML2021

How to distribute data across tasks for meta-learning?

Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel Garcia, Da-shan Shiu, Alberto Bernacchia

Comments Published in AAAI 2022

Finding Counterfactual Explanations through Constraint Relaxations

Sharmi Dev Gupta, Begum Genc, Barry O'Sullivan

Comments This work has appeared in Explainable Agency in Artificial Intelligence Workshop (EAAI'22) at AAAI'22

Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum

Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu

Comments AAAI 2022

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems

Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu

Comments AAAI-2022