Papers
Intelligent Agents for Auction-based Federated Learning: A Survey
Xiaoli Tang, Han Yu, Xiaoxiao Li et al.
IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification
Eun-Gi Lee, Moon Seok Lee, Jae Hyun Yoon et al.
Intention Progression with Temporally Extended Goals
Yuan Yao, Natasha Alechina, Brian Logan
Interactive Visual Learning for Stable Diffusion
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt et al.
IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot Interaction
Kartik Chari, Niklas Kueper, Su Kyoung Kim et al.
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Matteo Bianchi, Antonio De Santis, Andrea Tocchetti et al.
Interpretable Tensor Fusion
Saurabh Varshneya, Antoine Ledent, Philipp Liznerski et al.
Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences
Alexandre Bonlarron, Jean-Charles Régin
Invertible Residual Rescaling Models
Jinmin Li, Tao Dai, Yaohua Zha et al.
InViTe: Individual Virtual Transfer for Personalized 3D Face Generation System
Mingyu Jang, Kyungjune Lee, Seongmin Lee et al.
It Ain’t That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models
Xingcheng Xu, Zihao Pan, Haipeng Zhang et al.
Joint Domain Adaptive Graph Convolutional Network
Niya Yang, Ye Wang, Zhizhi Yu et al.
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang, Yibing Zhan, Yong Luo et al.
Joint Multimodal Aspect Sentiment Analysis with Aspect Enhancement and Syntactic Adaptive Learning
Linlin Zhu, Heli Sun, Qunshu Gao et al.
Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics
Zhen Wang, Dongpeng Hou, Shu Yin et al.
Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes
Giovanni Buraglio, Wolfgang Dvorak, Matthias König et al.
KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph
Yanbei Jiang, Krista A. Ehinger, Jey Han Lau
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation
Yinghui Liu, Guojiang Shen, Chengyong Cui et al.
Kernel Readout for Graph Neural Networks
Jiajun Yu, Zhihao Wu, Jinyu Cai et al.
KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering
Ruilin Zhao, Feng Zhao, Long Wang et al.
Knowledge Compilation for Incremental and Checkable Stochastic Boolean Satisfiability
Che Cheng, Yun-Rong Luo, Jie-Hong R. Jiang
Knowledge Distillation in Federated Learning: A Practical Guide
Alessio Mora, Irene Tenison, Paolo Bellavista et al.
KnowledgeHub: An End-to-End Tool for Assisted Scientific Discovery
Shinnosuke Tanaka, James Barry, Vishnudev Kuruvanthodi et al.
KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization
Xing Xi, Yangyang Huang, Jinhao Lin et al.
Label Distribution Learning from Logical Label
Yuheng Jia, Jiawei Tang, Jiahao Jiang