AAAI 2022
1680 papers
A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract)
Eiman AlNuaimi, Elia Cereda, Rafail Psiakis, Suresh Sugumar, Alessandro Giusti, Daniele Palossi A Divide and Conquer Algorithm for Predict+Optimize with Non-Convex Problems
Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey A Framework for Automated Text Generation Benchmarking
Steven Layne, Sebastian Gehrmann, Franck Dernoncourt, Lidan Wang, Trung Bui, Walter Chang A Fusion-Denoising Attack on InstaHide with Data Augmentation
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning
Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand A Goal-Driven Natural Language Interface for Creating Application Integration Workflows
Michelle Brachman, Christopher Bygrave, Tathagata Chakraborti, Arunima Chaudhary, Zhining Ding, Casey Dugan, David Gros, Thomas Gschwind, James M. Johnson, Jim Laredo, Christoph Miksovic, Qian Pan, Priyanshu Rai, Ramkumar Ramalingam, Paolo Scotton, Nagarjuna Surabathina, Kartik Talamadupula A Gray Box Model for Characterizing Driver Behavior
Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract)
Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He A Nested Bi-Level Optimization Framework for Robust Few Shot Learning
KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract)
Alexander W. Lee, Stefan Walzer-Goldfeld, Shukry Zablah, Matteo Riondato A Search Engine for Discovery of Scientific Challenges and Directions
Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope A Self-Supervised Mixed-Curvature Graph Neural Network
Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu A Socially Relevant Focused AI Curriculum Designed for Female High School Students
Lauren Alvarez, Isabella Gransbury, Veronica Cateté, Tiffany Barnes, Ákos Lédeczi, Shuchi Grover A Synthetic Prediction Market for Estimating Confidence in Published Work
Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles A Unified Framework for Real Time Motion Completion
Yinglin Duan, Yue Lin, Zhengxia Zou, Yi Yuan, Zhehui Qian, Bohan Zhang Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro Acronym Extraction with Hybrid Strategies
Siheng Li, Cheng Yang, Tian Liang, Xinyu Zhu, Chengze Yu, Yujiu Yang Acronym Identification Using Transformers and Flair Framework
Fazlourrahman Balouchzahi, Oxana Vitman, Hosahalli Lakshmaiah Shashirekha, Grigori Sidorov, Alexander F. Gelbukh Actionable Model-Centric Explanations (Student Abstract)
Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski Active Boundary Loss for Semantic Segmentation
Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Weiwei Xu Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding
Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj, Grant P. Strimel Adaptive Kernel Graph Neural Network
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao Adaptive Pairwise Weights for Temporal Credit Assignment
Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh AdaptivePose: Human Parts as Adaptive Points
Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Guoli Wang, Qian Zhang, Mingshu He Admissible Policy Teaching Through Reward Design
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic Adversarial Learning from Crowds
Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen AI Assisted Data Labeling with Interactive Auto Label
Michael Desmond, Michelle Brachman, Evelyn Duesterwald, Casey Dugan, Narendra Nath Joshi, Qian Pan, Carolina Spina AI Driven Accounts Payable Transformation
Tarun Tater, Neelamadhav Gantayat, Sampath Dechu, Hussain Jagirdar, Harshit Rawat, Meena Guptha, Surbhi Gupta, Lukasz Strak, Shashi Kiran, Sivakumar Narayanan AI Explainability 360: Impact and Design
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang AI for Disaster Rapid Damage Assessment from Microblogs
Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam AI-Assisted Controls Change Management for Cybersecurity in the Cloud
Harshal Tupsamudre, Arun Kumar, Vikas Agarwal, Nisha Gupta, Sneha Mondal Algorithmic Concept-Based Explainable Reasoning
Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations
Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu Almost Full EFX Exists for Four Agents
Ben Berger, Avi Cohen, Michal Feldman, Amos Fiat Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan An Algorithmic Introduction to Savings Circles
Rediet Abebe, Adam Eck, Christian Ikeokwu, Sam Taggart An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates
David Johnson, Mohammad Alsharid, Rasheed El-Bouri, Nigel Mehdi, Farah Shamout, Alexandre Szenicer, David Toman, Saqr Binghalib Anatomizing Bias in Facial Analysis
Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa AnomalyKiTS: Anomaly Detection Toolkit for Time Series
Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam Answering Queries with Negation over Existential Rules
Stefan Ellmauthaler, Markus Krötzsch, Stephan Mennicke ApproxASP - A Scalable Approximate Answer Set Counter
Mohimenul Kabir, Flavio O. Everardo, Ankit K. Shukla, Markus Hecher, Johannes Klaus Fichte, Kuldeep S. Meel ASP-Based Declarative Process Mining
Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi Assessing a Single Image in Reference-Guided Image Synthesis
Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang Attacking Video Recognition Models with Bullet-Screen Comments
Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang AutoBERT-Zero: Evolving BERT Backbone from Scratch
Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li Automatic Product Copywriting for E-Commerce
Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea Bayesian Optimisation for Active Monitoring of Air Pollution
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard Bayesian Optimization over Permutation Spaces
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim Bayesian Persuasion in Sequential Decision-Making
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla BERTicsson: A Recommender System for Troubleshooting
Nuria Marzo I Grimalt, Serveh Shalmashi, Forough Yaghoubi, Leif Jonsson, Amir Hossein Payberah BERTMap: A BERT-Based Ontology Alignment System
Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks Bi-Volution: A Static and Dynamic Coupled Filter
Xiwei Hu, Xuanhong Chen, Bingbing Ni, Teng Li, Yutian Liu Block Modeling-Guided Graph Convolutional Neural Networks
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng Block-Skim: Efficient Question Answering for Transformer
Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen Boosting Active Learning via Improving Test Performance
Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu Bounding Quality in Diverse Planning
Michael Katz, Shirin Sohrabi, Octavian Udrea Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae
Weilin Luo, Pingjia Liang, Jianfeng Du, Hai Wan, Bo Peng, Delong Zhang Building Goal-Oriented Dialogue Systems with Situated Visual Context
Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Bill Gao, Tagyoung Chung CAISE: Conversational Agent for Image Search and Editing
Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim Can Vision Transformers Learn Without Natural Images?
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh Causal Discovery in Hawkes Processes by Minimum Description Length
Amirkasra Jalaldoust, Katerina Hlavácková-Schindler, Claudia Plant CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets CCA: An ML Pipeline for Cloud Anomaly Troubleshooting
Lili Georgieva, Ioana Giurgiu, Serge Monney, Haris Pozidis, Viviane Potocnik, Mitch Gusat Chaining Value Functions for Off-Policy Learning
Simon Schmitt, John Shawe-Taylor, Hado van Hasselt Chess as a Testbed for Language Model State Tracking
Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel Classical Planning with Avoid Conditions
Marcel Steinmetz, Jörg Hoffmann, Alisa Kovtunova, Stefan Borgwardt Classifying Emails into Human vs Machine Category
Changsung Kang, Hongwei Shang, Jean-Marc Langlois CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma Coarse-to-Fine Generative Modeling for Graphic Layouts
Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang CODE: Contrastive Pre-Training with Adversarial Fine-Tuning for Zero-Shot Expert Linking
Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang Combating Adversaries with Anti-Adversaries
Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem Combating Collusion Rings Is Hard but Possible
Niclas Boehmer, Robert Bredereck, André Nichterlein Compilation of Aggregates in ASP Systems
Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro Complementary Attention Gated Network for Pedestrian Trajectory Prediction
Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua Comprehensive Regularization in a Bi-Directional Predictive Network for Video Anomaly Detection
Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma Conditional Abstract Dialectical Frameworks
Jesse Heyninck, Matthias Thimm, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba Conditional Generative Model Based Predicate-Aware Query Approximation
Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos Consistency Regularization for Adversarial Robustness
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin Constrained Prescriptive Trees via Column Generation
Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl Constraint-Driven Explanations for Black-Box ML Models
Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S. Meel, João Marques-Silva, Moshe Y. Vardi Content-Variant Reference Image Quality Assessment via Knowledge Distillation
Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang 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 Context-Based Contrastive Learning for Scene Text Recognition
Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu Context-Specific Representation Abstraction for Deep Option Learning
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How Contrastive Personalization Approach to Suspect Identification (Student Abstract)
Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation
Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing Yin Yu Contribution-Aware Federated Learning for Smart Healthcare
Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang Cosine Model Watermarking Against Ensemble Distillation
Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang Cross-Lingual Adversarial Domain Adaptation for Novice Programming
Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi Cross-Modal Coherence for Text-to-Image Retrieval
Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone Cross-Task Knowledge Distillation in Multi-Task Recommendation
Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen CrossWalk: Fairness-Enhanced Node Representation Learning
Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman CrowdFL: A Marketplace for Crowdsourced Federated Learning
Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Chunyan Miao CTIN: Robust Contextual Transformer Network for Inertial Navigation
Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites
Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe Decentralized Mean Field Games
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart Deceptive Decision-Making Under Uncertainty
Yagiz Savas, Christos K. Verginis, Ufuk Topcu Decompose the Sounds and Pixels, Recompose the Events
Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu Deconfounded Visual Grounding
Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang Deep Graph Clustering via Dual Correlation Reduction
Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu Deep Movement Primitives: Toward Breast Cancer Examination Robot
Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan Esfahani Deep Unsupervised Hashing with Latent Semantic Components
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang Deepfake Network Architecture Attribution
Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions
Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu DeepStochLog: Neural Stochastic Logic Programming
Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt Defending Against Model Stealing via Verifying Embedded External Features
Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao Deformable Graph Convolutional Networks
Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim DeformRS: Certifying Input Deformations with Randomized Smoothing
Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement
Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data
Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor, Laura Elena Cue La Rosa, Jitendra Singh, Tatsuya Ishikawa, Blair Edwards, Anne Jones, Komminist Weldemariam Designing a Human-in-the-Loop System for Object Detection in Floor Plans
Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr DetIE: Multilingual Open Information Extraction Inspired by Object Detection
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko Diagnostics-Guided Explanation Generation
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein Differential Assessment of Black-Box AI Agents
Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava Differentially Describing Groups of Graphs
Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken Dimensionality and Coordination in Voting: The Distortion of STV
Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos Directed Graph Auto-Encoders
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation
Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai Discovering State and Action Abstractions for Generalized Task and Motion Planning
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts
Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng Dual Contrastive Learning for General Face Forgery Detection
Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji Dual Task Framework for Improving Persona-Grounded Dialogue Dataset
Minju Kim, Beong-woo Kwak, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo Dynamic Incentive Mechanism Design for COVID-19 Social Distancing
Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao Dynamic Manifold Learning for Land Deformation Forecasting
Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong Dynamic Spatial Propagation Network for Depth Completion
Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, Hua Yang EasySM: A Data-Driven Intelligent Decision Support System for Server Merge
Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv Efficiency of Ad Auctions with Price Displaying
Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano Efficient Algorithms for General Isotone Optimization
Xiwen Wang, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar Efficient Device Scheduling with Multi-Job Federated Learning
Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou Efficient Model-Driven Network for Shadow Removal
Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong, Zheng-Jun Zha Efficient Non-Local Contrastive Attention for Image Super-Resolution
Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors
Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao Efficient Robust Training via Backward Smoothing
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications
Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu Efficient Virtual View Selection for 3D Hand Pose Estimation
Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan, Hongan Wang, Xiaoming Deng, Yinda Zhang Elastic-Link for Binarized Neural Networks
Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu End-to-End Line Drawing Vectorization
Hanyuan Liu, Chengze Li, Xueting Liu, Tien-Tsin Wong EnnCore: End-to-End Conceptual Guarding of Neural Architectures
Edoardo Manino, Danilo S. Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Luján, Xiaowei Huang, Lucas C. Cordeiro Ensemble Semi-Supervised Entity Alignment via Cycle-Teaching
Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou Entailment Relation Aware Paraphrase Generation
Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger Entropy-Based Logic Explanations of Neural Networks
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci Episodic Policy Gradient Training
Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh ErfAct and Pserf: Non-Monotonic Smooth Trainable Activation Functions
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey Error-Based Knockoffs Inference for Controlled Feature Selection
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng EtinyNet: Extremely Tiny Network for TinyML
Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun Expert-Informed, User-Centric Explanations for Machine Learning
Michael J. Pazzani, Severine Soltani, Robert Kaufman, Samson Qian, Albert Hsiao Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig Explainable and Local Correction of Classification Models Using Decision Trees
Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara Explainable Survival Analysis with Convolution-Involved Vision Transformer
Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng Exploiting Invariance in Training Deep Neural Networks
Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov Exploring Relational Semantics for Inductive Knowledge Graph Completion
Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha Exploring Visual Context for Weakly Supervised Person Search
Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang Expressivity of Planning with Horn Description Logic Ontologies
Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova, Markus Krötzsch, Bernhard Nebel, Marcel Steinmetz Facilitating Human-Wildlife Cohabitation Through Conflict Prediction
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Keisuke Kawano, Satoshi Koide, Keisuke Otaki Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh Patch Diffusion: A General Module for Face Manipulation Detection
Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang Perceptual Quality Assessment of Omnidirectional Images
Yuming Fang, Liping Huang, Jiebin Yan, Xuelin Liu, Yang Liu PetsGAN: Rethinking Priors for Single Image Generation
Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou Pizza Sharing Is PPA-Hard
Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos Planning to Avoid Side Effects
Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu Planning with Biological Neurons and Synapses
Francesco d'Amore, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou Planning with Participation Constraints
Hanrui Zhang, Yu Cheng, Vincent Conitzer Playing Lottery Tickets with Vision and Language
Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu PluGeN: Multi-Label Conditional Generation from Pre-Trained Models
Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja Policy Optimization with Stochastic Mirror Descent
Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan PolygonE: Modeling N-Ary Relational Data as Gyro-Polygons in Hyperbolic Space
Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li, Qing Liu, Nayu Liu, Shensi Wang Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu Pose-Invariant Face Recognition via Adaptive Angular Distillation
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Daniel Alabi, Badih Ghazi, Ravi Kumar, Pasin Manurangsi PrivateSNN: Privacy-Preserving Spiking Neural Networks
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda Procedural Text Understanding via Scene-Wise Evolution
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Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia Proportional Public Decisions
Piotr Skowron, Adrian Górecki ProtGNN: Towards Self-Explaining Graph Neural Networks
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Bin Li, Fei Xia, Yixuan Weng, Bin Sun, Shutao Li, Xiusheng Huang PYLON: A PyTorch Framework for Learning with Constraints
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Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
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Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification
Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, Prashant Singh Rana RES: An Interpretable Replicability Estimation System for Research Publications
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Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz Reward-Weighted Regression Converges to a Global Optimum
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Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou Robust Tests in Online Decision-Making
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Zhenbo Shi, Zhi Chen, Zhenbo Xu, Wei Yang, Zhidong Yu, Liusheng Huang Shrub Ensembles for Online Classification
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Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
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Yaozhong Gan, Zhe Zhang, Xiaoyang Tan Social Interpretable Tree for Pedestrian Trajectory Prediction
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Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang Split Moves for Monte-Carlo Tree Search
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Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun SSAST: Self-Supervised Audio Spectrogram Transformer
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Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
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Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai Transcribing Natural Languages for the Deaf via Neural Editing Programs
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