Papers
Learning to Compose Domain-Specific Transformations for Data Augmentation
Alexander J Ratner, Henry Ehrenberg, Zeshan Hussain et al.
Learning to Inpaint for Image Compression
Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
Learning to Model the Tail
Yu-Xiong Wang, Deva Ramanan, Martial Hebert
Learning to Pivot with Adversarial Networks
Gilles Louppe, Michael Kagan, Kyle Cranmer
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, Sinno Pan
Learning to See Physics via Visual De-animation
Jiajun Wu, Erika Lu, Pushmeet Kohli et al.
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar et al.
Learning with Average Top-k Loss
Yanbo Fan, Siwei Lyu, Yiming Ying et al.
Learning with Bandit Feedback in Potential Games
Amélie Heliou, Johanne Cohen, Panayotis Mertikopoulos
Learning with Feature Evolvable Streams
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Guolin Ke, Qi Meng, Thomas Finley et al.
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
Zeyuan Allen-Zhu, Elad Hazan, Wei Hu et al.
Linearly constrained Gaussian processes
Carl Jidling, Niklas Wahlström, Adrian Wills et al.
Linear regression without correspondence
Daniel J. Hsu, Kevin Shi, Xiaorui Sun
Linear Time Computation of Moments in Sum-Product Networks
Han Zhao, Geoffrey J. Gordon
Local Aggregative Games
Vikas Garg, Tommi Jaakkola
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning
Liangpeng Zhang, Ke Tang, Xin Yao
Lookahead Bayesian Optimization with Inequality Constraints
Remi Lam, Karen Willcox
Lower bounds on the robustness to adversarial perturbations
Jonathan Peck, Joris Roels, Bart Goossens et al.
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent
Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui et al.
Mapping distinct timescales of functional interactions among brain networks
Mali Sundaresan, Arshed Nabeel, Devarajan Sridharan
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Jiajun Wu, Yifan Wang, Tianfan Xue et al.
Masked Autoregressive Flow for Density Estimation
George Papamakarios, Theo Pavlakou, Iain Murray
MaskRNN: Instance Level Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang, Alexander Schwing