Papers
KPT: Keyword-Guided Pre-training for Grounded Dialog Generation
Qi Zhu, Fei Mi, Zheng Zhang et al.
KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion
Zhen Cao, Wenxiao Zhang, Xin Wen et al.
Label Smoothing for Emotion Detection (Student Abstract)
George Maratos, Tiberiu Sosea, Cornelia Caragea
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification
Pengyu Xu, Lin Xiao, Bing Liu et al.
LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding
Keisuke Okumura
LADA-Trans-NER: Adaptive Efficient Transformer for Chinese Named Entity Recognition Using Lexicon-Attention and Data-Augmentation
Jiguo Liu, Chao Liu, Nan Li et al.
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning
Chunyan Li, Junfeng Yao, Jinsong Su et al.
LANCER: A Lifetime-Aware News Recommender System
Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee et al.
Language-Assisted 3D Feature Learning for Semantic Scene Understanding
Junbo Zhang, Guofan Fan, Guanghan Wang et al.
Language Model Pre-training on True Negatives
Zhuosheng Zhang, Hai Zhao, Masao Utiyama et al.
Large-State Reinforcement Learning for Hyper-Heuristics
Lucas Kletzander, Nysret Musliu
Latent Autoregressive Source Separation
Emilian Postolache, Giorgio Mariani, Michele Mancusi et al.
Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry
Jidong Tian, Wenqing Chen, Yitian Li et al.
Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract)
Charles Bourbeau, Audrey Durand
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning
Sunwoo Lee, Tuo Zhang, A. Salman Avestimehr
Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding
Mingxiao Li, Zehao Wang, Tinne Tuytelaars et al.
Layout Generation as Intermediate Action Sequence Prediction
Huiting Yang, Danqing Huang, Chin-Yew Lin et al.
Layout Representation Learning with Spatial and Structural Hierarchies
Yue Bai, Dipu Manandhar, Zhaowen Wang et al.
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract)
Joseph A. Gallego-Mejia, Oscar A. Bustos-Brinez, Fabio A. González
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild
Jucai Zhai, Pengcheng Zeng, Chihao Ma et al.
Learnable Path in Neural Controlled Differential Equations
Sheo Yon Jhin, Minju Jo, Seungji Kook et al.
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh et al.
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
Yujun Huang, Bin Chen, Shiyu Qin et al.
Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
Yongrui Chen, Xinnan Guo, Tongtong Wu et al.
Learning Adaptive Game Soundtrack Control
Aaron Dorsey, Todd W. Neller, Hien G. Tran et al.