AAAI

Stereo Neural Vernier Caliper

Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng

Comments AAAI 2022 camera-ready version

Cross-Task Knowledge Distillation in Multi-Task Recommendation

Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen

Comments in AAAI 2022

(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering

Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux

Comments Accepted at AAAI 2022 (Oral)

Logically at Factify 2022: Multimodal Fact Verification

Jie Gao, Hella-Franziska Hoffmann, Stylianos Oikonomou, David Kiskovski, Anil Bandhakavi

Comments Accepted in AAAI'22: First Workshop on Multimodal Fact-Checking and Hate Speech Detection, Februrary 22 - March 1, 2022,Vancouver, BC, Canada

NAREOR: The Narrative Reordering Problem

Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard Hovy

Comments Accepted to AAAI 2022; Code at https://github.com/vgtomahawk/NAREORCamReady

Learning Losses for Strategic Classification

Tosca Lechner, Ruth Urner

Comments This paper will appear in the proceedings of AAAI 2022

Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks

Tim Whitaker, Darrell Whitley

Comments 12 pages, 7 figures, Accepted to AAAI-22; appendix added

InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation

Pierre Colombo, Chloe Clavel, Pablo Piantanida

Journal ref AAAI 2022

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models

Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard Hovy, Varun Gangal

Comments Accepted to AAAI 2022. Code at https://github.com/styfeng/VisCTG

CrossWalk: Fairness-enhanced Node Representation Learning

Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman

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

ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

Comments AAAI 2022

Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation

Hanjie Chen, Yangfeng Ji

Comments AAAI 2022

An Algorithmic Introduction to Savings Circles

Rediet Abebe, Adam Eck, Christian Ikeokwu, Samuel Taggart

Comments Proceedings of the Thirty-sixth AAAI Conference on Artificial Intelligence (AAAI'2022)

Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits

Guojun Xiong, Jian Li, Rahul Singh

Comments Appeared in AAAI 2022 with title "Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits"

Deep One-Class Classification via Interpolated Gaussian Descriptor

Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro

Comments AAAI 2022 Oral. The first two authors contributed equally

Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions

Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

Comments Published in AAAI Conference on Artificial Intelligence (2022)

NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty

Jonathan Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Robert Wright, Xiangyu Peng, Julia Kim, Mark Riedl

Comments 7 pages, 4 figures, AAAI Spring Symposium 2022 on Designing Artificial Intelligence for Open Worlds (Long Oral)

Toward Physically Realizable Quantum Neural Networks

Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

Comments Thirty-Sixth AAAI Conference on Artificial Intelligence

A Factor-Based Framework for Decision-Making Competency Self-Assessment

Brett W. Israelsen, Nisar Ahmed

Comments Appears in Proceedings of the AAAI SSS-22 Symposium "Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming"

Sequential Blocked Matching

Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh

Comments AAAI-2022 Version

A Deep Multi-task Learning Approach to Skin Lesion Classification

Haofu Liao, Jiebo Luo

Comments AAAI 2017 Joint Workshop on Health Intelligence W3PHIAI 2017 (W3PHI & HIAI), San Francisco, CA, 2017

What can we Learn Even From the Weakest? Learning Sketches for Programmatic Strategies

Leandro C. Medeiros, David S. Aleixo, Levi H. S. Lelis

Comments Published at AAAI'22

A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting

Yuyol Shin, Yoonjin Yoon

Comments 14 pages, 4 figures, 3 Tables, This paper is accepted for AAAI-22 Workshop: AI for Transportation

Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs

Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein

Comments AAAI 2022 (Main Track)

KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss

Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi

Comments Accepted to the thirty-sixth AAAI conference on artificial intelligence (AAAI-22) as an oral presentation

Consent as a Foundation for Responsible Autonomy

Munindar P. Singh

Comments 6 pages; 1 table Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), Blue Sky Track

Journal ref Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), Blue Sky Track, 2022

Optimizing Binary Decision Diagrams with MaxSAT for classification

Hao Hu, Marie-José Huguet, Mohamed Siala

Comments This is the preprint version of the paper accepted in AAAI'22

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Zhou Zhao

Comments SVS (DiffSinger), TTS (DiffSpeech), Shallow Diffusion Mechanism; Submitted to arxiv on 6 May 2021; Accepted by AAAI 2022

RareGAN: Generating Samples for Rare Classes

Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

Comments Published in AAAI 2022

On the Computation of Necessary and Sufficient Explanations

Adnan Darwiche, Chunxi Ji

Comments To appear in the proceedings of AAAI 2022