Papers
Lattice Transformer for Speech Translation
Pei Zhang, Niyu Ge, Boxing Chen et al.
Laughter Dynamics in Dyadic Conversations
Bogdan Ludusan, Petra Wagner
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou, Ziniu Hu, Yewen Wang et al.
Layer Trajectory BLSTM
Eric Sun, Jinyu Li, Yifan Gong
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models
Kean Ming Tan, Junwei Lu, Tong Zhang et al.
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Robert Schwarzenberg, Marc Hübner, David Harbecke et al.
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann et al.
Layout-Graph Reasoning for Fashion Landmark Detection
Weijiang Yu, Xiaodan Liang, Ke Gong et al.
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions
Ruichi Yu, Hongcheng Wang, Ang Li et al.
LayoutVAE: Stochastic Scene Layout Generation From a Label Set
Akash Abdu Jyothi, Thibaut Durand, Jiawei He et al.
Lazifying Conditional Gradient Algorithms
Gábor Braun, Sebastian Pokutta, Daniel Zink
LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds
Chun-Liang Li, Tomas Simon, Jason Saragih et al.
LCA: Loss Change Allocation for Neural Network Training
Janice Lan, Rosanne Liu, Hattie Zhou et al.
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise
Yilun Xu, Peng Cao, Yuqing Kong et al.
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions
Alberto Marchesi, Matteo Castiglioni, Nicola Gatti
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
Yunfei Teng, Wenbo Gao, François Chalus et al.
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
Tian Shi, Ping Wang, Chandan K. Reddy
LEAP Diarization System for the Second DIHARD Challenge
Prachi Singh, Harsha Vardhan M.A., Sriram Ganapathy et al.
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Ting Huang, Gehui Shen, Zhi-Hong Deng
Learnability for the Information Bottleneck
Tailin Wu, Ian Fischer, Isaac L. Chuang et al.
Learnability of Solutions to Conjunctive Queries
Hubie Chen, Matthew Valeriote
Learnable Embedding Space for Efficient Neural Architecture Compression
Shengcao Cao, Xiaofang Wang, Kris M. Kitani
Learnable Tree Filter for Structure-preserving Feature Transform
Lin Song, Yanwei Li, Zeming Li et al.
Learnable Triangulation of Human Pose
Karim Iskakov, Egor Burkov, Victor Lempitsky et al.
Learned Video Compression
Oren Rippel, Sanjay Nair, Carissa Lew et al.