Papers
Improving Community-Participated Patrol for Anti-Poaching
Yufei Wu, Yixuan Even Xu, Xuming Zhang et al.
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
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Dingkang Yang, Dongling Xiao, Jinjie Wei et al.
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update
Zikun Zhou, Wen Huang, Xingyi Wang et al.
Improving Generalization for AI-Synthesized Voice Detection
Hainan Ren, Li Lin, Chun-Hao Liu et al.
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
Da Wang, Lin Li, Wei Wei et al.
Improving Generalization of Deep Neural Networks by Optimum Shifting
Yuyan Zhou, Ye Li, Lei Feng et al.
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Yechao Zhang, Yingzhe Xu, Junyu Shi et al.
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
Yuchen Ren, Zhengyu Zhao, Chenhao Lin et al.
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels
Renat Sergazinov, Richard Chen, Cheng Ji et al.
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
Xovee Xu, Yifan Zhang, Fan Zhou et al.
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui et al.
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen et al.
Improving Private Random Forest Prediction Using Matrix Representation
Arisa Tajima, Joie Wu, Amir Houmansadr
Improving Retrieval Augmented Language Model with Self-Reasoning
Yuan Xia, Jingbo Zhou, Zhenhui Shi et al.
Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT
Shuolin Li, Chu-Min Li, Jordi Coll et al.
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
Xin Tong, Shi Peng, Baojie Tian et al.
IMQC: A Large Language Model Platform for Medical Quality Control
Qi Ye, Guangya Yu, Jingping Liu et al.
In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images
Junao Shen, Qiyun Hu, Tian Feng et al.
Inapproximability of Optimal Multi-Agent Pathfinding Problems
Xing Tan, Alban Grastien
Incentives for Early Arrival
Dengji Zhao
Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model
Peng Yuan, LuAn Tang, Yanchi Liu et al.
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion
Liang Zhao, Ziyue Wang, Xiao Wang et al.