Paper Papers
5,546 papers found • Page 84 of 111
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.
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
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.