AAAI

QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models

Xiangming Meng, Yoshiyuki Kabashima

Comments Camera-ready version for AAAI 2024 with appendix. Code available at https://github.com/mengxiangming/QCS-SGM-plus

Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation

Xiuding Cai, Yaoyao Zhu, Dong Miao, Linjie Fu, Yu Yao

Comments Accepted by AAAI 2024

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation

Abbavaram Gowtham Reddy, Vineeth N Balasubramanian

Comments AAAI 2024

Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification

Zhenhailong Wang, Heng Ji

Comments 9 pages, 2 figures, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022)

Plug-in Diffusion Model for Sequential Recommendation

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang

Comments Accepted by AAAI 2024

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

Jian Li, Yong Liu, Wei Wang, Haoran Wu, Weiping Wang

Comments Accepted at AAAI 2024

Exploiting Polarized Material Cues for Robust Car Detection

Wen Dong, Haiyang Mei, Ziqi Wei, Ao Jin, Sen Qiu, Qiang Zhang, Xin Yang

Comments Accepted by AAAI 2024

TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection

Hao Sun, Mingyao Zhou, Wenjing Chen, Wei Xie

Comments Accepted by AAAI-24

Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

Longtian Qiu, Shan Ning, Xuming He

Comments AAAI 2024.Open sourced, Code and Model Available

Balancing Continual Learning and Fine-tuning for Human Activity Recognition

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo

Comments AAAI 2024 HCRL (Human-Centric Representation Learning) Workshop

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems

Qingsong Wang, Zehui Liu, Chunfeng Cui, Deren Han

Comments accepted by AAAI 2024

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzel

Journal ref Association for the Advancement of Artificial Intelligence (AAAI), 2024

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network

Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao

Comments Accepted by AAAI 2024

High-Fidelity Diffusion-based Image Editing

Chen Hou, Guoqiang Wei, Zhibo Chen

Comments Accepted by AAAI 2024

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation

Yongkang Wang, Xuan Liu, Feng Huang, Zhankun Xiong, Wen Zhang

Comments This paper is accepted by AAAI 2024

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos

Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

Comments Accepted to AAAI 2024

A General Implicit Framework for Fast NeRF Composition and Rendering

Xinyu Gao, Ziyi Yang, Yunlu Zhao, Yuxiang Sun, Xiaogang Jin, Changqing Zou

Comments AAAI 2024

Provably Powerful Graph Neural Networks for Directed Multigraphs

Béni Egressy, Luc von Niederhäusern, Jovan Blanusa, Erik Altman, Roger Wattenhofer, Kubilay Atasu

Comments AAAI 2024

Quantifying Deep Learning Model Uncertainty in Conformal Prediction

Hamed Karimi, Reza Samavi

Comments Accepted in AAAI Second Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics

Journal ref Published in Proceedings of the AAAI Inaugural Summer Symposium Series 2023 (SuSS-23), Vol. 1, No. 1, pp. 142-148

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

Comments AAAI 2024

Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond

Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou

Comments accepted at AAAI 2024. arXiv admin note: text overlap with arXiv:2105.03790

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar

Comments Paper accepted in Human-Centric Representation Learning workshop at AAAI 2024 (https://hcrl-workshop.github.io/2024/)

Uncertainty Regularized Evidential Regression

Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan

Comments Accepted to AAAI 2024 main track

CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series

Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal

Comments Accepted by AAAI 2024

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval

Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia

Comments Accepted by AAAI 2024. Code is released at https://github.com/huangmozhi9527/GMMFormer

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents

Arrasy Rahman, Jiaxun Cui, Peter Stone

Comments Accepted at AAAI-24 conference

Hyperbolic Graph Diffusion Model

Lingfeng Wen, Xuan Tang, Mingjie Ouyang, Xiangxiang Shen, Jian Yang, Daxin Zhu, Mingsong Chen, Xian Wei

Comments accepted by AAAI 2024

Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt

Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng

Comments Accepted by AAAI 2024

3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands

Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang

Comments Accepted by AAAI-24

LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models

Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor

Comments Paper accepted in Human-Centric Representation Learning workshop at AAAI 2024 (https://hcrl-workshop.github.io/2024/)