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Neural Networks

629 directly classified papers

Papers per year

Papers

Linear Antisymmetric Recurrent Neural Networks L4DC 2020
Learning Composable Energy Surrogates for PDE Order Reduction NIPS 2020
Multiscale Deep Equilibrium Models NIPS 2020
Neural Power Units NIPS 2020
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons AAAI 2019
Joey NMT: A Minimalist NMT Toolkit for Novices EMNLP 2019
SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence EMNLP 2019
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets EMNLP 2019
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs EMNLP 2019
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA ACML 2019
Value Iteration Networks on Multiple Levels of Abstraction RSS 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019
Tilde’s Machine Translation Systems for WMT 2019 ACL 2019
Learning Fully Dense Neural Networks for Image Semantic Segmentation AAAI 2019
Improving Neural Question Generation Using Answer Separation AAAI 2019
Read + Verify: Machine Reading Comprehension with Unanswerable Questions AAAI 2019
Neural Relation Extraction within and across Sentence Boundaries AAAI 2019
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models AAAI 2019
Long Short-Term Memory with Dynamic Skip Connections AAAI 2019
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective AAAI 2019
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System AAAI 2019
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval AAAI 2019
PROMT Systems for WMT 2019 Shared Translation Task ACL 2019
Johns Hopkins University Submission for WMT News Translation Task ACL 2019
OpenKiwi: An Open Source Framework for Quality Estimation ACL 2019