AAAI

SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation

Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang

Comments Accepted to AAAI 2024

Journal ref 38th AAAI Conference on Artificial Intelligence (AAAI2024), Vancouver, BC, Canada, 2024

Multi-Level Compositional Reasoning for Interactive Instruction Following

Suvaansh Bhambri, Byeonghwi Kim, Jonghyun Choi

Comments AAAI 2023 (Oral) (Project page: https://bhkim94.github.io/projects/MCR-Agent)

Weighted-Sampling Audio Adversarial Example Attack

Xiaolei Liu, Xiaosong Zhang, Kun Wan, Qingxin Zhu, Yufei Ding

Comments AAAI/2020GB/AAAI-LiuXL.9260.pdf" target="_blank" rel="noopener">https://aaai.org/Papers/AAAI/2020GB/AAAI-LiuXL.9260.pdf

AACP: Aesthetics assessment of children's paintings based on self-supervised learning

Shiqi Jiang, Ning Li, Chen Shi, Liping Guo, Changbo Wang, Chenhui Li

Comments AAAI 2024

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan

Comments 13 pages, 5 figures, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024)

On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing

Raven Beutner, Bernd Finkbeiner

Comments AAAI 2024

QLABGrad: a Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning

Minghan Fu, Fang-Xiang Wu

Comments Accepted by AAAI 2024

An Approximate Skolem Function Counter

Arijit Shaw, Brendan Juba, Kuldeep S. Meel

Comments Full version of conference paper accepted at AAAI'24

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Song Guo, Kunlin Yang, Jun Hou, Shuai Zhang, Junyu Gao, Shuai Yi

Journal ref The 38th Annual AAAI Conference on Artificial Intelligence, 2024

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao

Comments Accepted by AAAI 2024

Probabilistic Neural Circuits

Pedro Zuidberg Dos Martires

Comments Proceedings of the AAAI Conference on Artificial Intelligence

Finding Visual Saliency in Continuous Spike Stream

Lin Zhu, Xianzhang Chen, Xiao Wang, Hua Huang

Comments Accepted by AAAI 2024

Personalized LoRA for Human-Centered Text Understanding

You Zhang, Jin Wang, Liang-Chih Yu, Dan Xu, Xuejie Zhang

Comments Accepted by AAAI 2024

Decoupled Contrastive Learning for Long-Tailed Recognition

Shiyu Xuan, Shiliang Zhang

Comments Accepted by AAAI 2024

FMPAF: How Do Fed Chairs Affect the Financial Market? A Fine-grained Monetary Policy Analysis Framework on Their Language

Yayue Deng, Mohan Xu, Yao Tang

Comments accepted by AAAI 2024 Workshop: AI in Finance for Social Impact

Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera

Chengxu Liu, Xuan Wang, Yuanting Fan, Shuai Li, Xueming Qian

Comments AAAI 2024

MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift

Dexter Neo, Stefan Winkler, Tsuhan Chen

Comments 38th AAAI Conference on Artificial Intelligence, AAAI24 (Oral)

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification

A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon Kleinberg, Siddhartha Sen, Baobao Zhang

Comments AAAI '24 (received a Best Paper Honorable Mention designation)

Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem

Ceyao Zhang, Renjie Li, Cheng Zhang, Zhaoyu Zhang, Feng Yin

Comments accepted by AAAI workshop AI2ASE(2024)https://ai-2-ase.github.io/papers/29%5cCameraReady%5cPIT__PSCEL_inverse_design_transformer.pdf

CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model

Pengwei Yin, Guanzhong Zeng, Jingjing Wang, Di Xie

Comments Accepted to AAAI 2024

Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning

Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, Shiliang Pu

Comments Accepted to AAAI 2024. The source code is available at https://github.com/hikvision-research/3DVision

RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction

Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Chingyu Cheng, Yong Liu

Comments Published at AAAI-24

Journal ref The 38th Annual AAAI Conference on Artificial Intelligence, 2024

Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile

Seokjun Lee, Seung-Won Jung, Hyunseok Seo

Comments Accepted to AAAI 2024

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding

Hai-Tao Yu, Mofei Song

Comments Accepted by AAAI 2024

Journal ref AAAI 2024

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

Sikun Yang, Hongyuan Zha

Comments Accepted by AAAI-2024

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation

Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang

Comments Accepted by AAAI 2024

Acceleron: A Tool to Accelerate Research Ideation

Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff

Comments Accepted at AI2ASE Workshop at AAAI'24 Conference. 13 Pages and 4 Figures

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning

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

Comments AAAI 2024

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection

Gyusam Chang, Wonseok Roh, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, Sangpil Kim

Comments Accepted by AAAI 2024

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs

Ruoqi Liu, Lingfei Wu, Ping Zhang

Comments AAAI 2024 Main Track