Lund jet images from generative and cycle-consistent adversarial networks. (arXiv:1909.01359v1 [hep-ph]) http://arxiv.org/abs/1909.01359
Deep Equilibrium Models. (arXiv:1909.01377v1 [cs.LG]) http://arxiv.org/abs/1909.01377
Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings. (arXiv:1909.01401v1 [cs.LG]) http://arxiv.org/abs/1909.01401
Mixture Probabilistic Principal GeodesicAnalysis. (arXiv:1909.01412v1 [cs.LG]) http://arxiv.org/abs/1909.01412
Discriminative Topic Modeling with Logistic LDA. (arXiv:1909.01436v1 [stat.ML]) http://arxiv.org/abs/1909.01436
LCA: Loss Change Allocation for Neural Network Training. (arXiv:1909.01440v1 [cs.LG]) http://arxiv.org/abs/1909.01440
Interpretable Word Embeddings via Informative Priors. (arXiv:1909.01459v1 [cs.CL]) http://arxiv.org/abs/1909.01459
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. (arXiv:1909.01463v1 [cs.HC]) http://arxiv.org/abs/1909.01463
Rates of Convergence for Large-scale Nearest Neighbor Classification. (arXiv:1909.01464v1 [math.ST]) http://arxiv.org/abs/1909.01464
Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data. (arXiv:1909.01486v1 [cs.LG]) http://arxiv.org/abs/1909.01486
Minimum $L^q$-distance estimators for non-normalized parametric models. (arXiv:1909.00002v1 [math.ST]) http://arxiv.org/abs/1909.00002
Adaptively Sparse Transformers. (arXiv:1909.00015v1 [cs.CL]) http://arxiv.org/abs/1909.00015
A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between. (arXiv:1909.00021v1 [cs.LG]) http://arxiv.org/abs/1909.00021
Racial Disparities in Voting Wait Times: Evidence from Smartphone Data. (arXiv:1909.00024v1 [econ.GN]) http://arxiv.org/abs/1909.00024
Meta-Learning with Warped Gradient Descent. (arXiv:1909.00025v1 [cs.LG]) http://arxiv.org/abs/1909.00025
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. (arXiv:1909.00047v1 [cs.LG]) http://arxiv.org/abs/1909.00047
Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks. (arXiv:1909.00052v1 [cs.LG]) http://arxiv.org/abs/1909.00052
How Relevant is the Turing Test in the Age of Sophisbots?. (arXiv:1909.00056v1 [cs.CY]) http://arxiv.org/abs/1909.00056
Learning from Multi-User Activity Trails for B2B Ad Targeting. (arXiv:1909.00057v1 [cs.IT]) http://arxiv.org/abs/1909.00057
The association between commute time and poverty in the U.S. (arXiv:1909.00061v1 [stat.AP]) http://arxiv.org/abs/1909.00061
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