Papers
Spectrally-normalized margin bounds for neural networks
Peter L Bartlett, Dylan J Foster, Matus J Telgarsky
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin, Cong Zhao, Wei Pan
Improving the Expected Improvement Algorithm
Chao Qin, Diego Klabjan, Daniel Russo
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
Prateep Bhattacharjee, Sukhendu Das
Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh, Urun Dogan, Clay Scott
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems
Yonatan Belinkov, James Glass
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Caglar Gulcehre, Francis Dutil, Adam Trischler et al.
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons
Nikhil Parthasarathy, Eleanor Batty, William Falcon et al.
Sparse convolutional coding for neuronal assembly detection
Sven Peter, Elke Kirschbaum, Martin Both et al.
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization
Pan Xu, Jian Ma, Quanquan Gu
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li, Hao Liu, Changyou Chen et al.
Flexible statistical inference for mechanistic models of neural dynamics
Jan-Matthis Lueckmann, Pedro J Goncalves, Giacomo Bassetto et al.
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Jiajun Wu, Yifan Wang, Tianfan Xue et al.
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu, Maxim Raginsky
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
Marco Cusumano-Towner, Vikash K Mansinghka
Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian, Konstantin Makarychev, Miklos Racz et al.
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
Chengxu Zhuang, Jonas Kubilius, Mitra JZ Hartmann et al.
Self-supervised Learning of Motion Capture
Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer et al.
Quantifying how much sensory information in a neural code is relevant for behavior
Giuseppe Pica, Eugenio Piasini, Houman Safaai et al.
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Yuanzhi Li, Yang Yuan
Matching neural paths: transfer from recognition to correspondence search
Nikolay Savinov, Lubor Ladicky, Marc Pollefeys
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks
Zelun Luo, Yuliang Zou, Judy Hoffman et al.
Geometric Descent Method for Convex Composite Minimization
Shixiang Chen, Shiqian Ma, Wei Liu
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda et al.