AAAI Papers
5,317 papers found • Page 29 of 107
Human and AI Perceptual Differences in Image Classification Errors
Minghao Liu, Jiaheng Wei, Yang Liu et al.
HVAdam: A Full-Dimension Adaptive Optimizer
Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu et al.
HVDualformer: Histogram-Vision Dual Transformer for White Balance
Yan-Tsung Peng, Guan-Rong Chen
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
Kedi Lyu, Haipeng Chen, Zhenguang Liu et al.
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation
Giwoong Lee, Jiseung Ahn, Jeongyeol Choe
Hybrid Data-Free Knowledge Distillation
Jialiang Tang, Shuo Chen, Chen Gong
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence
Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze et al.
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules
Jiabao Wang, Zepeng Wu, Qian Dong et al.
Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming
Yusuf Izmirlioglu
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
Keyu Du, Hao Xu, Haipeng Li et al.
HYGENE: A Diffusion-Based Hypergraph Generation Method
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner et al.
Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images
Wenrui Li, Zhe Yang, Wei Han et al.
HyperDefender: A Robust Framework for Hyperbolic GNNs
Nikita Malik, Rahul Gupta, Sandeep Kumar
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges
Meixia He, Peican Zhu, Keke Tang et al.
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport
Yuguang Yan, Canlin Yang, Yuanlin Chen et al.
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting
Changyuan Tian, Zhicong Lu, Zequn Zhang et al.
Hyperparametric Robust and Dynamic Influence Maximization
Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao et al.
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
Bin Wang, Chunyu Xie, Dawei Leng et al.
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
Tomas Tokar, Scott Sanner
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
Mengyang Wu, Yuzhi Zhao, Jialun Cao et al.
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
Simon Ferreira, Charles K. Assaad
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy et al.
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
Lihu Chen, Adam Dejl, Francesca Toni
Identity-Text Video Corpus Grounding
Bin Huang, Xin Wang, Hong Chen et al.
ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models
Zhenhua Meng, Fanshen Meng, Rongheng Lin et al.
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image
Jinkun Hao, Junshu Tang, Jiangning Zhang et al.
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation
Runxin Liu, Tian Xie, Jiaming Li et al.
IMAGDressing-v1: Customizable Virtual Dressing
Fei Shen, Xin Jiang, Xin He et al.
Image Conductor: Precision Control for Interactive Video Synthesis
Yaowei Li, Xintao Wang, Zhaoyang Zhang et al.
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
Seungdong Yoa, Seungjun Lee, Hye-Seung Cho et al.
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
Chutian Meng, Fan Ma, Jiaxu Miao et al.
Image-to-video Adaptation with Outlier Modeling and Robust Self-learning
Junbao Zhuo, Shuhui Wang, Zhenghan Chen et al.
Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph
Weihao Wang, Yu Lan, Mingyu You et al.
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
Jiaqi Chen, Xiaoye Zhu, Tianyang Liu et al.
iMoT: Inertial Motion Transformer for Inertial Navigation
Son Minh Nguyen, Duc Viet Le, Paul Havinga
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates
Keke Tang, Ziyong Du, Weilong Peng et al.
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning
Shiping Ge, Qiang Chen, Zhiwei Jiang et al.
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Jun-Xiang Mao, Yong Rui, Min-Ling Zhang
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
Zhuoran Li, Chunming Hu, Junfan Chen et al.
Importance Weighting Can Help Large Language Models Self-Improve
Chunyang Jiang, Chi-Min Chan, Wei Xue et al.
Improved Approximation Algorithms for Clustered TSP and Subgroup Planning
Jingyang Zhao, Mingyu Xiao, Junqiang Peng et al.
Improved Bounds for Online Facility Location with Predictions
Dimitris Fotakis, Evangelia Gergatsouli, Themistoklis Gouleakis et al.
Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants
Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb et al.
Improved Maximin Share Approximations for Chores by Bin Packing
Jugal Garg, Xin Huang, Erel Segal-Halevi
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
Ruijia Zhang, Mingxi Lei, Meng Ding et al.
Improved Regret Bounds for Online Fair Division with Bandit Learning
Benjamin Schiffer, Shirley Zhang
Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association
Chao Deng, Hongdong Li, Jianxin Wang
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
Tianle Xia, Liang Ding, Guojia Wan et al.
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
Joseph Bills, Christopher Archibald, Diego Blaylock
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
Antonios Alexos, Ian Domingo, Pierre Baldi