Papers
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction
Xu Huang, Chuyao Luo, Bowen Zhang et al.
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jingge Xiao, Leonie Basso, Wolfgang Nejdl et al.
Joint Demosaicing and Denoising for Spike Camera
Yanchen Dong, Ruiqin Xiong, Jing Zhao et al.
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
Minghui Liao, Guojia Wan, Bo Du
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat et al.
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Jimmy Lin, Junkai Li, Jiasi Gao et al.
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
Yifu Cai, Arvind Srinivasan, Mononito Goswami et al.
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
Yuheng Chen, Pengfei Cao, Yubo Chen et al.
KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
Debjyoti Mondal, Suraj Modi, Subhadarshi Panda et al.
KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing
Sheng Jie Lui, Cheng Xiang, Shonali Krishnaswamy
KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem
Mingming Jin, Jiongzhi Zheng, Kun He
KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching
Huanjing Yue, Zifan Cui, Kun Li et al.
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann et al.
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)
Shane Donnelly, Ayan Dutta
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation
Xingyu Liu, Pengfei Ren, Yuanyuan Gao et al.
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
Xiao Long, Liansheng Zhuang, Aodi Li et al.
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
Ruoqi Liu, Lingfei Wu, Ping Zhang
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
Zhen Chen, Dalin Zhang, Shanshan Feng et al.
Knowledge-Aware Explainable Reciprocal Recommendation
Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai et al.
Knowledge-Aware Neuron Interpretation for Scene Classification
Yong Guan, Freddy Lécué, Jiaoyan Chen et al.
Knowledge-Aware Parameter Coaching for Personalized Federated Learning
Mingjian Zhi, Yuanguo Bi, Wenchao Xu et al.
Knowledge-Enhanced Historical Document Segmentation and Recognition
En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu et al.
Knowledge Enhanced Representation Learning for Drug Discovery
Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martinez Galindo et al.