Papers
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
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract)
Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases
Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian et al.
Learning Efficient Truthful Mechanisms for Trading Networks
Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash
Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection
Shiman Zhao, Wei Chen, Tengjiao Wang
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
Jiewen Deng, Jinliang Deng, Renhe Jiang et al.
Learning Heuristically-Selected and Neurally-Guided Feature for Age Group Recognition Using Unconstrained Smartphone Interaction
Yingmao Miao, Qiwei Tian, Chenhao Lin et al.
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium
Yuma Fujimoto, Kaito Ariu, Kenshi Abe