AAAI Papers
5,317 papers found • Page 79 of 107
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework
Fangyikang Wang, Huminhao Zhu, Chao Zhang et al.
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
Shu Yin, Peican Zhu, Lianwei Wu et al.
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks
Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou et al.
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
Gaussian Process Neural Additive Models
Wei Zhang, Brian Barr, John Paisley
Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process
Mingjie Xu, Feng Lu
Gaze Target Detection by Merging Human Attention and Activity Cues
Yaokun Yang, Yihan Yin, Feng Lu
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
Xinshun Wang, Qiongjie Cui, Chen Chen et al.
Generalisation through Negation and Predicate Invention
David M. Cerna, Andrew Cropper
Generalising Planning Environment Redesign
Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation
Huihui Song, Tiankang Su, Yuhui Zheng et al.
Generalizable Sleep Staging via Multi-Level Domain Alignment
Jiquan Wang, Sha Zhao, Haiteng Jiang et al.
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
Renzhe Zhou, Chen-Xiao Gao, Zongzhang Zhang et al.
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure
Xinying Zou, Samir Perlaza, Inaki Esnaola et al.
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
Julien Fageot, Lê-Nguyên Hoang, Oscar Villemaud et al.
Generalized Planning for the Abstraction and Reasoning Corpus
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Tom Silver, Soham Dan, Kavitha Srinivas et al.
Generalized Variational Inference via Optimal Transport
Jinjin Chi, Zhichao Zhang, Zhiyao Yang et al.
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction
Jian Zhu, Congcong Liu, Xue Jiang et al.
Generalizing across Temporal Domains with Koopman Operators
QIUHAO Zeng, Wei Wang, Fan Zhou et al.
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
Songmin Dai, Yifan Wu, Xiaoqiang Li et al.
Generating Images of Rare Concepts Using Pre-trained Diffusion Models
Dvir Samuel, Rami Ben-Ari, Simon Raviv et al.
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback
Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash et al.
Generating Universal Adversarial Perturbations for Quantum Classifiers
Gautham Anil, Vishnu Vinod, Apurva Narayan
Generation and Classification Reframing
Fenglong Ma, Hongyang Chen, Hong Yu et al.
Generative-Based Fusion Mechanism for Multi-Modal Tracking
Zhangyong Tang, Tianyang Xu, Xiaojun Wu et al.
Generative Calibration of Inaccurate Annotation for Label Distribution Learning
Liang He, Yunan Lu, Weiwei Li et al.
Generative Model-Based Feature Knowledge Distillation for Action Recognition
Guiqin Wang, Peng Zhao, Yanjiang Shi et al.
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
Guipeng Lan, Shuai Xiao, Jiachen Yang et al.
Generative Multi-Modal Knowledge Retrieval with Large Language Models
Xinwei Long, Jiali Zeng, Fandong Meng et al.
Generator Assisted Mixture of Experts for Feature Acquisition in Batch
Vedang Asgaonkar, Aditya Jain, Abir De
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
6428 Can Xu, Haosen Wang, Weigang Wang et al.
Geometry-Guided Domain Generalization for Monocular 3D Object Detection
Fan Yang, Hui Chen, Yuwei He et al.
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
Ge Gao, Xi Yang, Min Chi
Get an A in Math: Progressive Rectification Prompting
Zhenyu Wu, Meng Jiang, Chao Shen
Ghost Noise for Regularizing Deep Neural Networks
Atli Kosson, Dongyang Fan, Martin Jaggi
GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images
Chenglong Liu, Haoran Wei, Jinze Yang et al.
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations
Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne et al.
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
Le Cheng, Peican Zhu, Keke Tang et al.
GLDL: Graph Label Distribution Learning
Yufei Jin, Richard Gao, Yi He et al.
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
Haoran Ye, Jiarui Wang, Helan Liang et al.
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
Yuting Wang, Jinpeng Wang, Bin Chen et al.
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Fan Zhou, Chen Pan, Lintao Ma et al.
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Fan Wu, Jinling Gao, Lanqing Hong et al.
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI
Malek Mechergui, Sarath Sreedharan
GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following
Jigyasa Gupta, Shreya Sharma, Shreshth Tuli et al.
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain, Vaibhav Unhelkar
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
Luzhi Wang, Di Jin, He Zhang et al.
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
Hao Liu, Xin Li, Mingming Gong et al.