Papers
Iterative Value-Aware Model Learning
Amir-massoud Farahmand
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
Hajin Shim, Sung Ju Hwang, Eunho Yang
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David Minnen, Johannes Ballé, George D Toderici
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
Zhisheng Zhong, Tiancheng Shen, Yibo Yang et al.
Kalman Normalization: Normalizing Internal Representations Across Network Layers
Guangrun Wang, jiefeng peng, Ping Luo et al.
KDGAN: Knowledge Distillation with Generative Adversarial Networks
Xiaojie Wang, Rui Zhang, Yu Sun et al.
Knowledge Distillation by On-the-Fly Native Ensemble
xu lan, Xiatian Zhu, Shaogang Gong
KONG: Kernels for ordered-neighborhood graphs
Moez Draief, Konstantin Kutzkov, Kevin Scaman et al.
L4: Practical loss-based stepsize adaptation for deep learning
Michal Rolinek, Georg Martius
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios Giannakis, Tao Sun et al.
Large Margin Deep Networks for Classification
Gamaleldin Elsayed, Dilip Krishnan, Hossein Mobahi et al.
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
Theo Lacombe, Marco Cuturi, Steve OUDOT
Large-Scale Stochastic Sampling from the Probability Simplex
Jack Baker, Paul Fearnhead, Emily B. Fox et al.
Latent Alignment and Variational Attention
Yuntian Deng, Yoon Kim, Justin Chiu et al.
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
Daniel Johnson, Daniel Gorelik, Ross E Mawhorter et al.
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation
Tianyu He, Xu Tan, Yingce Xia et al.
Learning Abstract Options
Matthew Riemer, Miao Liu, Gerald Tesauro
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
Jie Cao, Yibo Hu, Hongwen Zhang et al.
Learning a latent manifold of odor representations from neural responses in piriform cortex
Anqi Wu, Stan Pashkovski, Sandeep R Datta et al.
Learning and Inference in Hilbert Space with Quantum Graphical Models
Siddarth Srinivasan, Carlton Downey, Byron Boots
Learning and Testing Causal Models with Interventions
Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis et al.
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang, Zongqing Lu
Learning Attractor Dynamics for Generative Memory
Yan Wu, Gregory Wayne, Karol Gregor et al.
Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
Abubakar Abid, James Y Zou
Learning Beam Search Policies via Imitation Learning
Renato Negrinho, Matthew Gormley, Geoffrey J. Gordon