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Neural Network Optimization

3,649 papers

Papers per year

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Papers

The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes AAAI 2019
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting AAAI 2019
Meta-Descent for Online, Continual Prediction AAAI 2019
Guided Dropout AAAI 2019
Lifted Proximal Operator Machines AAAI 2019
CircConv: A Structured Convolution with Low Complexity AAAI 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019
Hierarchical Context Enabled Recurrent Neural Network for Recommendation AAAI 2019
HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019
Non-Autoregressive Machine Translation with Auxiliary Regularization AAAI 2019
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019
Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant AAAI 2019
Long Short-Term Memory with Dynamic Skip Connections AAAI 2019
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models AAAI 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019
Numerical Optimization to AI, and Back AAAI 2019
Deep Reinforcement Learning via Past-Success Directed Exploration AAAI 2019
A Lightweight Recurrent Network for Sequence Modeling ACL 2019
Learning Deep Transformer Models for Machine Translation ACL 2019
Continual and Multi-Task Architecture Search ACL 2019
Wide-Coverage Neural A* Parsing for Minimalist Grammars ACL 2019
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing ACL 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019