AAAI 2021

1,961 papers

AuthNet: A Deep Learning Based Authentication Mechanism Using Temporal Facial Feature Movements (Student Abstract)

Mohit Raghavendra, Pravan Omprakash, Mukesh B R

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract)

Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou

Successive Halving Top-k Operator

Michał Pietruszka, Łukasz Borchmann, Filip Graliński

Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract)

Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan

An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract)

Qi Peng, Changmeng Zheng, Yi Cai, Tao Wang, Haoran Xie

Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract)

Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang

Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract)

Rachel Ostic, Oliver Benning, Patrick Boily

A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract)

Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract)

Keren Nivasch, Dana Shapira, Amos Azaria

Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract)

Kento Nishi, Yi Ding, Alex Rich, Tobias Hollerer

Shallow-UWnet: Compressed Model for Underwater Image Enhancement (Student Abstract)

Ankita Naik, Apurva Swarnakar, Kartik Mittal

Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract)

Aadi Swadipto Mondal, Rakesh Bal, Sayan Sinha, Gourab K Patro

Toward Determining NFA Equivalence via QBFs (Student Abstract)

Hannah Miller, David E. Narváez

Source Separation and Depthwise Separable Convolutions for Computer Audition (Student Abstract)

Gabriel Mersy, Jin Hong Kuan

Detection of Digital Manipulation in Facial Images (Student Abstract)

Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh

Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract)

Jonathan Martinez

RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)

Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer

A Context Aware Approach for Generating Natural Language Attacks

Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi

Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract)

Jinqi Luo, Tao Bai, Jun Zhao

Semi-Discrete Social Recommendation (Student Abstract)

Fangyuan Luo, Jun Wu, Haishuai Wang

An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract)

Hejing Liu, Qiudan Li, Zaichuan Tang, Jie Bai

A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract)

Guangcheng Liu, Yuexian Hou, Shikai Song

Information Block Detection in Infographic Based on Spatial Proximity and Structural Similarity (Student Abstract)

Jie Lin, Xin Wu, Jianwei Lu, Yi Cai

Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract)

Mingxuan Li, Michael L. Littman

Melodic Phrase Attention Network for Symbolic Data-based Music Genre Classification (Student Abstract)

Li Li, Rui Zhang, Zhenyu Wang

A Nested Named Entity Recognition Model Based on Multi-agent Communication Mechanism (Student Abstract)

Canguang Li, Guohua Wang, Jin Cao, Yi Cai

Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)

Hoang Son Le, Rini Akmeliawati, Gustavo Carneiro

Is Active Learning Always Beneficial? (Student Abstract)

Anna Kravchenko, Rhodri Cusack

Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks (Student Abstract)

Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar, Pattie Maes

Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract)

Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha

An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract)

Kunal Khadilkar, Ashiqur R. KhudaBukhsh

A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle

Yasmine Karoui, Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo, Elise Shepley, Elsa Vasseur

Compilation Complexity of Multi-Winner Voting Rules (Student Abstract)

Neel Karia, Jérôme Lang

Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks

Charles A. Kantor, Leonard Boussioux, Brice Rauby, Hugues Talbot

Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract)

Bowen Jing, vinay prabhu, Angela Gu, John Whaley

HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract)

Vince Jankovics, Michael Garcia Ortiz, Eduardo Alonso

Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract)

Adarsh Jamadandi, Uma Mudenagudi

Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract)

Annika Heuser, Polina Tsvilodub

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract)

Ayaan Haque

Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach

Omar Hamed, H. Joe Steinhauer

Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract)

Shashi Kant Gupta

Text Embedding Bank for Detailed Image Paragraph Captioning

Arjun Gupta, Zengming Shen, Thomas Huang

Global Fusion Attention for Vision and Language Understanding (Student Abstract)

Zixin Guo, Chen Liang, Ziyu Wan, Yang Bai

RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract)

Yuhui Guo, Xun Liang

Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract)

Yashvir S. Grewal, Frits de Nijs, Sarah Goodwin

Detecting Lexical Semantic Change across Corpora with Smooth Manifolds (Student Abstract)

Anmol Goel, Ponnurangam Kumaraguru

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract)

Prateek Garg, Murari Mandal, Pratik Narang

Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract)

Maurizio Ferrari Dacrema

Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract)

Qiqi Ding, Yi Cai, Ke Xu, Huakui Zhang

Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract)

Mohamad H. Danesh

Passive learning of Timed Automata from logs (Student Abstract)

Lénaïg Cornanguer

Multi-modal User Intent Classification Under the Scenario of Smart Factory (Student Abstract)

Yu-Ching Chiu, Bo-Hao Chang, Tzu-Yu Chen, Cheng-Fu Yang, Nanyi Bi

Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract)

Hanxiao Chen

NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract)

Arushi Chauhan, Mayank Vatsa, Richa Singh

BOSS: A Bi-directional Search Technique for Optimal Coalition Structure Generation with Minimal Overlapping (Student Abstract)

Narayan Changder, Samir Aknine, Sarvapali D. Ramchurn, Animesh Dutta

Fair Stable Matchings Under Correlated Preferences (Student Abstract)

Angelina Brilliantova, Hadi Hosseini

Early Prediction of Children’s Task Completion in a Tablet Tutor using Visual Features (Student Abstract)

Bikram Boote, Mansi Agarwal, Jack Mostow

Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract)

Manik Bhandari, Mark Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas, Shirin Sohrabi

Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)

Pierre Bernabé, Helge Spieker, Bruno Legeard, Arnaud Gotlieb

Responsible Prediction Making of COVID-19 Mortality (Student Abstract)

Hubert Baniecki, Przemyslaw Biecek

Logic Guided Genetic Algorithms (Student Abstract)

Dhananjay Ashok, Joseph Scott, Sebastian J. Wetzel, Maysum Panju, Vijay Ganesh

Clustering Partial Lexicographic Preference Trees (Student Abstract)

Joseph Allen, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari

Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract)

Ashlesha Akella, Sai Kalyan Ranga Singanamalla, Chin-teng Lin

A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)

Anshul Ahuja, Geetesh Gupta, Suman Kundu

Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract)

Akshay Agarwal, Mayank Vatsa, Richa Singh

How Human Centered AI Will Contribute Towards Intelligent Gaming Systems

Yilei Zeng

Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching

Sagir Muhammad Yusuf, Chris Baber

Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games

Kshitija Taywade

Towards Fair, Equitable, and Efficient Peer Review

Ivan Stelmakh

Safety Assurance for Systems with Machine Learning Components

Chelsea Sidrane

AI for Social Good: Between My Research and the Real World

Zheyuan Ryan Shi

Robots that Help Humans Build Better Mental Models of Robots

Preeti Ramaraj

Transfer Learning of Engagement Recognition within Robot-Assisted Therapy for Children with Autism

Nazerke Rakhymbayeva, Anara Sandygulova

Constraint-Driven Learning of Logic Programs

Rolf Morel

Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs

Mehrnoosh Mirtaheri

Screening for Depressed Individuals by Using Multimodal Social Media Data

Paulo Mann, Aline Paes, Elton H. Matsushima

On Learning Deep Models with Imbalanced Data Distribution

Puspita Majumdar, Richa Singh, Mayank Vatsa

Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments

Leonardo Lamanna

Perception Beyond Sensors Under Uncertainty

Masha Itkina

Verification and Repair of Neural Networks

Dario Guidotti

Creating Interpretable Data-Driven Approaches for Remote Health Monitoring

Alireza Ghods

Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input

Hussain A. Chowdhury

A Computational Approach to Sign Language Understanding

Tejaswini Ananthanarayana

Model AI Assignments 2021

Todd W. Neller, Nathan Sprague, John Maraist, Lisa Zhang, Pouria Fewzee

Applied Machine Learning for Games: A Graduate School Course

Yilei Zeng, Aayush Shah, Jameson Thai, Michael Zyda

Web-based Platform for K-12 AI Education in China

Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu

Teacher Perspectives on How To Train Your Robot: A Middle School AI and Ethics Curriculum

Randi Williams, Stephen P. Kaputsos, Cynthia Breazeal

Educational Question Mining At Scale: Prediction, Analysis and Personalization

Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones

GANs Unplugged

Patrick Virtue

Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools

Jessica Van Brummelen, Tommy Heng, Viktoriya Tabunshchyk

A Data-Driven Approach for Gin Rummy Hand Evaluation

Sang T. Truong, Todd W. Neller

Designing a Hybrid AI Residency

Felipe Leno Da Silva, Silvio Stanzani, Jefferson Fialho, Jorge Mondadori, Muriel Mazzetto

Introduction to Machine Learning with Robots and Playful Learning

Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide

A Deterministic Neural Network Approach to Playing Gin Rummy

Viet Dung Nguyen, Dung Doan, Todd W. Neller

A Highly-Parameterized Ensemble to Play Gin Rummy

Masayuki Nagai, Kavya Shrivastava, Kien Ta, Steven Bogaerts, Chad Byers

Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies

Bhaskar Mishra, Ashish Aggarwal

Knocking in the Game of Gin Rummy

Ryzeson C. Maravich, Taylor C. Neller, Todd W. Neller

AI-Infused Collaborative Inquiry in Upper Elementary School: A Game-Based Learning Approach

Seung Lee, Bradford Mott, Anne Ottenbreit-Leftwich, Adam Scribner, Sandra Taylor

The Contour to Classification Game

Irene Lee, Safinah Ali

Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent

Sarah Larkin, William Collicott, Jason Hiebel