Papers
L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language
Hala Mulki, Hatem Haddad, Chedi Bechikh Ali et al.
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang, Kai Chen, Jianping Shi et al.
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech
Heiga Zen, Viet Dang, Rob Clark et al.
LIDA: Lightweight Interactive Dialogue Annotator
Edward Collins, Nikolai Rozanov, Bingbing Zhang
LIDA: Lightweight Interactive Dialogue Annotator
Edward Collins, Nikolai Rozanov, Bingbing Zhang
Lifelong GAN: Continual Learning for Conditional Image Generation
Mengyao Zhai, Lei Chen, Frederick Tung et al.
Lifelong Optimization with Low Regret
Yi-Shan Wu, Po-An Wang, Chi-Jen Lu
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery
Hang Ma, Wolfgang Hönig, T. K. Satish Kumar et al.
LiFF: Light Field Features in Scale and Depth
Donald G. Dansereau, Bernd Girod, Gordon Wetzstein
Lifted Hinge-Loss Markov Random Fields
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi et al.
Lifted Message Passing for Hybrid Probabilistic Inference
Yuqiao Chen, Nicholas Ruozzi, Sriraam Natarajan
Lifted Proximal Operator Machines
Jia Li, Cong Fang, Zhouchen Lin
Lifted Weight Learning of Markov Logic Networks Revisited
Ondrej Kuzelka, Vyacheslav Kungurtsev
Lifting high-dimensional non-linear models with Gaussian regressors
Christos Thrampoulidis, Ankit Singh Rawat
Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus
Thomas Mollenhoff, Daniel Cremers
Light Field Messaging With Deep Photographic Steganography
Eric Wengrowski, Kristin Dana
Lightly-supervised Representation Learning with Global Interpretability
Andrew Zupon, Maria Alexeeva, Marco A. Valenzuela-Escárcega et al.
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay, Aston Zhang, Anh Tuan Luu et al.
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation
Jianpeng Zhang, Yutong Xie, Pingping Zhang et al.
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
Yali Du, Lei Han, Meng Fang et al.
Like a Baby: Visually Situated Neural Language Acquisition
Alexander Ororbia, Ankur Mali, Matthew Kelly et al.
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
Chenwei DING, Mingming Gong, Kun Zhang et al.
Likelihood Ratios for Out-of-Distribution Detection
Jie Ren, Peter J. Liu, Emily Fertig et al.
Limitations of Lazy Training of Two-layers Neural Network
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz et al.