Papers
From which world is your graph
Cheng Li, Felix MF Wong, Zhenming Liu et al.
Optimal Sample Complexity of M-wise Data for Top-K Ranking
Minje Jang, Sunghyun Kim, Changho Suh et al.
Multi-Objective Non-parametric Sequential Prediction
Guy Uziel, Ran El-Yaniv
Gaussian process based nonlinear latent structure discovery in multivariate spike train data
Anqi Wu, Nicholas A. Roy, Stephen Keeley et al.
Tomography of the London Underground: a Scalable Model for Origin-Destination Data
Nicolò Colombo, Ricardo Silva, Soong Moon Kang
End-to-end Differentiable Proving
Tim Rocktäschel, Sebastian Riedel
Boltzmann Exploration Done Right
Nicolò Cesa-Bianchi, Claudio Gentile, Gabor Lugosi et al.
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
Seunghyun Park, Seonwoo Min, Hyun-Soo Choi et al.
Consistent Multitask Learning with Nonlinear Output Relations
Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco et al.
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