Papers
Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks
Bin Liu, Jiujun He, Ziyuan Li et al.
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling
Aihua Mao, Yaqi Duan, Yu-Hui Wen et al.
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks?
Pascal Kunz, Hendrik Molter, Meirav Zehavi
iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning
Zuchao Li, Xingyi Guo, Letian Peng et al.
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval
Haojie Wei, Jun Yuan, Rui Zhang et al.
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo, Renrui Zhang, Longtian Qiu et al.
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach
Yi Wu, Yanyang Xu, Wenhao Zhu et al.
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework
Elias Tragos, Diarmuid O'Reilly-Morgan, James Geraci et al.
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering
Meikai Bao, Qi Liu, Kai Zhang et al.
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
Yuxi Feng, Xiaoyuan Yi, Laks V.S. Lakshmanan et al.
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
Likang Wu, Junji Jiang, Hongke Zhao et al.
K∗ Search over Orbit Space for Top-k Planning
Michael Katz, Junkyu Lee
Label Enhancement via Joint Implicit Representation Clustering
Yunan Lu, Weiwei Li, Xiuyi Jia
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps
Jun-Xiang Mao, Wei Wang, Min-Ling Zhang
Large Decision Models
Weinan Zhang
Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation
Daniel Geißler, Bo Zhou, Paul Lukowicz
Latent Processes Identification From Multi-View Time Series
Zenan Huang, Haobo Wang, Junbo Zhao et al.
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks
Shuang Lian, Jiangrong Shen, Qianhui Liu et al.
Learn and Sample Together: Collaborative Generation for Graphic Design Layout
Haohan Weng, Danqing Huang, Tong Zhang et al.
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang, Chenfei Wu, Shengming Yin et al.
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India
Atharva Kulkarni, Raya Das, Ravi S. Srivastava et al.
Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution
Guanxin Li, Jingang Shi, Yuan Zong et al.
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
Haoxuan Wang, Zhiding Yu, Yisong Yue et al.
Learning Causal Effects on Hypergraphs (Extended Abstract)
Jing Ma, Mengting Wan, Longqi Yang et al.
Learning Constraint Networks over Unknown Constraint Languages
Christian Bessiere, Clément Carbonnel, Areski Himeur