AAAI

Pushing the Boundaries of Private, Large-Scale Query Answering

Brendan Avent, Aleksandra Korolova

Comments Workshop on Privacy-Preserving Artificial Intelligence (PPAI-23), AAAI, 2023

Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions

Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili

Comments Accepted at AAAI 2023

Learning to Select Pivotal Samples for Meta Re-weighting

Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik

Comments Published in AAAI 2023 (oral)

Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes

Huixin Zhan, Victor S. Sheng

Comments Accepted by AAAI-23 DC

Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)

Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng

Comments Accepted at AAAI 2023

Zero-Cost Operation Scoring in Differentiable Architecture Search

Lichuan Xiang, Łukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane, Hongkai Wen

Comments Accepted at AAAI 2023

A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech

Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky

Comments Accepted to AAAI 2023

Hierarchical Event Grounding

Jiefu Ou, Adithya Pratapa, Rishubh Gupta, Teruko Mitamura

Comments Accepted to AAAI 2023

Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection

Lily H. Zhang, Rajesh Ranganath

Comments AAAI 2023

WAT: Improve the Worst-class Robustness in Adversarial Training

Boqi Li, Weiwei Liu

Comments Accepted to AAAI 2023

Adversarial Self-Attention for Language Understanding

Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang

Comments Accepted by AAAI 2023

Toward Face Biometric De-identification using Adversarial Examples

Mahdi Ghafourian, Julian Fierrez, Luis Felipe Gomez, Ruben Vera-Rodriguez, Aythami Morales, Zohra Rezgui, Raymond Veldhuis

Comments Accepted at the AAAI-23 workshop on Artificial Intelligence for Cyber Security (AICS)

Online Reinforcement Learning with Uncertain Episode Lengths

Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar

Comments To appear at AAAI-2023

Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation

Jack Furby, Daniel Cunnington, Dave Braines, Alun Preece

Comments Accepted into the AAAI-23 workshop Representation Learning for Responsible Human-Centric AI (R2HCAI) as a 4 page paper. This version also includes an additional 47 pages for the appendix and contains additional figures and tables

ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition

Ling Ge, Chunming Hu, Guanghui Ma, Hong Zhang, Jihong Liu

Comments AAAI 2023

Prompting Neural Machine Translation with Translation Memories

Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao, Jingbo Zhu

Comments Accepted to AAAI 2023

GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer

Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan

Comments This manuscript was accepted to AAAI 2023 Main Track

Co-Imitation: Learning Design and Behaviour by Imitation

Chang Rajani, Karol Arndt, David Blanco-Mulero, Kevin Sebastian Luck, Ville Kyrki

Comments 14 pages, 11 figures, accepted for AAAI-23

FineDeb: A Debiasing Framework for Language Models

Akash Saravanan, Dhruv Mullick, Habibur Rahman, Nidhi Hegde

Comments Poster presentation at AAAI 2023: The Workshop on Artificial Intelligence for Social Good 2023 (https://amulyayadav.github.io/AI4SG2023/)

FedSpectral+: Spectral Clustering using Federated Learning

Janvi Thakkar, Devvrat Joshi

Comments Accepted at GCLR Workshop, AAAI 2023

Reducing ANN-SNN Conversion Error through Residual Membrane Potential

Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu

Comments Accepted as a AAAI 2023 Oral Paper

Improving Interpretability via Explicit Word Interaction Graph Layer

Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi

Comments 15 pages, AAAI 2023

Journal ref AAAI 2023

Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem

Haruki Hirasawa, Sookyung Kim, Peetak Mitra, Subhashis Hazarika, Salva Ruhling-Cachay, Dipti Hingmire, Kalai Ramea, Hansi Singh, Philip J. Rasch

Comments AAAI Spring Symposium conference full paper

LIQUID: A Framework for List Question Answering Dataset Generation

Seongyun Lee, Hyunjae Kim, Jaewoo Kang

Comments AAAI 2023

Resilient Binary Neural Network

Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv

Comments AAAI 2023 Oral

Stochastic Contextual Bandits with Long Horizon Rewards

Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak

Comments 47 pages, to appear at AAAI 2023

Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture

Pim Jordi Verschuuren, Jie Gao, Adelize van Eeden, Stylianos Oikonomou, Anil Bandhakavi

Comments Accepted in AAAI'23: Second Workshop on Multimodal Fact-Checking and Hate Speech Detection, February 2023, Washington, DC, USA

Analogical Inference Enhanced Knowledge Graph Embedding

Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen

Comments Accepted by AAAI 2023

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models

Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das

Journal ref AAAI 2023

Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models

Pasquale Minervini, Luca Franceschi, Mathias Niepert

Comments Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)