Papers
Inter-image Contrastive Consistency for Multi-Person Pose Estimation
Xixia Xu, Yingguo Gao, Xingjia Pan et al.
Internal Robust Representations for Domain Generalization
Mohammad Rostami
Interpolating Graph Pair to Regularize Graph Classification
Hongyu Guo, Yongyi Mao
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery
Yunchao (Lance) Liu, Yu Wang, Oanh Vu et al.
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong, Song Wang, Jing Ma et al.
Intersection Coordination with Priority-Based Search for Autonomous Vehicles
Jiaoyang Li, The Anh Hoang, Eugene Lin et al.
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees
Artjom Zern, Klaus Broelemann, Gjergji Kasneci
Intriguing Findings of Frequency Selection for Image Deblurring
Xintian Mao, Yiming Liu, Fengze Liu et al.
Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning
Joonyoung Kim, Kangwook Lee, Haebin Shin et al.
Invariant Representations with Stochastically Quantized Neural Networks
Mattia Cerrato, Marius Köppel, Roberto Esposito et al.
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks
Keunseo Kim, Eun-Yeol Ma, Jeongman Choi et al.
Invertible Conditional GAN Revisited: Photo-to-Manga Face Translation with Modern Architectures (Student Abstract)
Taro Hatakeyama, Ryusuke Saito, Komei Hiruta et al.
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu et al.
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
Yabin Wang, Zhiheng Ma, Zhiwu Huang et al.
Isometric Manifold Learning Using Hierarchical Flow
Ziqi Pan, Jianfu Zhang, Li Niu et al.
Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification
Jianglin Lan, Yang Zheng, Alessio Lomuscio
IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings
Jiajun Liu, Peng Wang, Ziyu Shang et al.
Jointly Imputing Multi-View Data with Optimal Transport
Yangyang Wu, Xiaoye Miao, Xinyu Huang et al.
Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging
Li Yuan, Yi Cai, Jin Wang et al.
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
Duy M. H. Nguyen, Hoang Nguyen, Truong T. N. Mai et al.
JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment
Jiaxiang Shang, Yu Zeng, Xin Qiao et al.
Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach
Wuyuan Xie, Shukang Wang, Sukun Tian et al.
Kajibuntan: A House Chore Division App
Ayumi Igarashi, Tomohiko Yokoyama
Kalman Bayesian Neural Networks for Closed-Form Online Learning
Philipp Wagner, Xinyang Wu, Marco F. Huber
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
Kai Yang, Yongxin Xu, Peinie Zou et al.