Papers
General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase
Lukas Gerlach, David Carral
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings
Antoine Ledent, Rodrigo Alves, Yunwen Lei et al.
Generalized Category Discovery with Decoupled Prototypical Network
Wenbin An, Feng Tian, Qinghua Zheng et al.
Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data
Yuyao Zhai, Liang Chen, Minghua Deng
Generalized Confidence Constraints
Guillaume Perez, Steve Malalel, Gael Glorian et al.
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
Liwei Yang, Xiang Gu, Jian Sun
Generalizing Downsampling from Regular Data to Graphs
Davide Bacciu, Alessio Conte, Francesco Landolfi
Generalizing Math Word Problem Solvers via Solution Diversification
Zhenwen Liang, Jipeng Zhang, Lei Wang et al.
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation
En Yu, Songtao Liu, Zhuoling Li et al.
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework
Jian Guan, Zhenyu Yang, Rongsheng Zhang et al.
Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse
Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization
Bangyan He, Jian Liu, Yiming Li et al.
Generative Decision Making Under Uncertainty
Aditya Grover
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
Zhiwen Zuo, Lei Zhao, Ailin Li et al.
Generative Label Enhancement with Gaussian Mixture and Partial Ranking
Yunan Lu, Liang He, Fan Min et al.
Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract)
Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey et al.
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
Liangzhe Han, Ruixing Zhang, Leilei Sun et al.
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
Keith G. Mills, Fred X. Han, Jialin Zhang et al.
Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations
Ziqi Pan, Li Niu, Liqing Zhang
Geometry-Aware Network for Domain Adaptive Semantic Segmentation
Yinghong Liao, Wending Zhou, Xu Yan et al.
GLCC: A General Framework for Graph-Level Clustering
Wei Ju, Yiyang Gu, Binqi Chen et al.
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev et al.
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator
Xuyang Chen, Jingliang Duan, Yingbin Liang et al.
Global Dilated Attention and Target Focusing Network for Robust Tracking
Yun Liang, Qiaoqiao Li, Fumian Long
Global Explanations for Image Classifiers (Student Abstract)
Bhavan K. Vasu, Prasad Tadepalli