AAAI Papers

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent

Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing

Hao Li, Mengqi Huang, Lei Zhang et al.

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al.

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer

Hui LIN, Zhiheng Ma, Xiaopeng Hong et al.

Graph-Aware Contrasting for Multivariate Time-Series Classification

Yucheng Wang, Yuecong Xu, Jianfei Yang et al.

Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning

Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram et al.

Graph Context Transformation Learning for Progressive Correspondence Pruning

Junwen Guo, Guobao Xiao, Shiping Wang et al.

Graph Contrastive Invariant Learning from the Causal Perspective

9672 Yanhu Mo, Xiao Wang, Shaohua Fan et al.

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation

Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization

Tianrui Jia, Haoyang Li, Cheng Yang et al.

Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs

Stefano Fiorini, Stefano Coniglio, Michele Ciavotta et al.

Graph Neural Networks with Soft Association between Topology and Attribute

Yachao Yang, Yanfeng Sun, Shaofan Wang et al.

Graph Neural Prompting with Large Language Models

Yijun Tian, Huan Song, Zichen Wang et al.

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Maciej Besta, Nils Blach, Ales Kubicek et al.

Graph Reasoning Transformers for Knowledge-Aware Question Answering

Ruilin Zhao, Feng Zhao, Liang Hu et al.

Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees

Zongjun Yang, Luofeng Liao, Christian Kroer

GridFormer: Point-Grid Transformer for Surface Reconstruction

Shengtao Li, Ge Gao, Yudong Liu et al.

GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection

Haozhan Shen, Tiancheng Zhao, Mingwei Zhu et al.

GSDD: Generative Space Dataset Distillation for Image Super-resolution

Haiyu Zhang, Shaolin Su, Yu Zhu et al.

GSENet: Global Semantic Enhancement Network for Lane Detection

Junhao Su, Zhenghan Chen, Chenghao He et al.

GSN: Generalisable Segmentation in Neural Radiance Field

Siddharth Barman, Umang Bhaskar, Yeshwant Pandit et al.

GSO-Net: Grid Surface Optimization via Learning Geometric Constraints

Chaoyun Wang, Jingmin Xin, Nanning Zheng et al.

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles

Chen Li, Yoshihiro Yamanishi

H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion

Yu Wang, Chao Tong

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation

QiHao Xu, Xiaoling Luo, Chao Huang et al.

HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning

Hongbin Pei, Taile Chen, Chen A et al.

Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling

Yuze Hao, Jianrong Zhang, Tao Zhuo et al.

Hardness of Random Reordered Encodings of Parity for Resolution and CDCL

Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

Louis Mahon, Thomas Lukasiewicz

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Xiao Wang, Zongzhen Wu, Bo Jiang et al.

Harnessing Edge Information for Improved Robustness in Vision Transformers

Yanxi Li, Chengbin Du, Chang Xu

Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues

Bobo Li, Hao Fei, Lizi Liao et al.

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Wei Tan, Ngoc Dang Nguyen, Lan Du et al.

Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification

Lei Zhai, Shuyuan Yang, Yitong Li et al.

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Ke Liang, Sihang Zhou, Meng Liu et al.

HDformer: A Higher

Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan

HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting

Qihe Huang, Lei Shen, Ruixin Zhang et al.

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping

H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer

Yanru Wu, Jianning Wang, Weida Wang et al.

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables

Haisong Gong, Weizhi Xu, Shu Wu et al.

Heterogeneous Test-Time Training for Multi-Modal Person Re-identification

Zi Wang, Huaibo Huang, Aihua Zheng et al.

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

Jiaxin Pan, Mojtaba Nayyeri, Yinan Li et al.

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning

Xingtong Yu, Yuan Fang, Zemin Liu et al.

Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?

Shu Li, Ruimin Hu, Suhui Li et al.

Hierarchical Aligned Multimodal Learning for NER on Tweet Posts

Peipei Liu, Hong Li, Yimo Ren et al.

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Zhichen Zeng, Boxin Du, Si Zhang et al.

Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention

Naman Shah, Siddharth Srivastava

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Jiangmeng Li, Yifan Jin, Hang Gao et al.