Papers
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
Yujie Fang, Xin Li, Qianyu Chen et al.
Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms
Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz et al.
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract)
Kai Yang, Jiayang Li, Wenxin Tai et al.
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
James R. Kirk, Robert E. Wray, Peter Lindes et al.
Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge
Sixing Wu, Jiong Yu, Jiahao Chen et al.
Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge
Seongyeop Kim, Hyung-Il Kim, Yong Man Ro
Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation
Tianyu Guo, Haowei Wang, Yiwei Ma et al.
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
Zhengyi Li, Menglu Li, Lida Zhu et al.
Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields
Bo-Yu Chen, Wei-Chen Chiu, Yu-Lun Liu
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
Jianping Zhang, Yizhan Huang, Zhuoer Xu et al.
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
Jiaan Wang, JIanfeng Qu, Kexin Wang et al.
Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation
Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
Guoqing Chao, Yi Jiang, Dianhui Chu
Inconsistency-Based Data-Centric Active Open-Set Annotation
Ruiyu Mao, Ouyang Xu, Yunhui Guo
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion
Théo Delemazure, Jérôme Lang, Grzegorz Pierczyński
Independency Adversarial Learning for Cross-Modal Sound Separation
Zhenkai Lin, Yanli Ji, Yang Yang
IndicCONAN: A Multilingual Dataset for Combating Hate Speech in Indian Context
Nihar Ranja Sahoo, Gyana Prakash Beria, Pushpak Bhattacharyya
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data
Junjie Liang, Weijieying Ren, Hanifi Sahar et al.
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
Seungjun Lee, TaeiL Oh
Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy
Xiaofan Wang, Zhiyuan Deng, Changle Wang et al.
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation
Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires et al.