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Model Architecture

4351 directly classified papers

Papers per year

Papers

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. NIPS 2019
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks NIPS 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NIPS 2019
Towards modular and programmable architecture search NIPS 2019
Superposition of many models into one NIPS 2019
Channel Gating Neural Networks NIPS 2019
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NIPS 2019
Neural Networks with Cheap Differential Operators NIPS 2019
A Condition Number for Joint Optimization of Cycle-Consistent Networks NIPS 2019
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning NIPS 2019
Discovering Neural Wirings NIPS 2019
LCA: Loss Change Allocation for Neural Network Training NIPS 2019
Self-Routing Capsule Networks NIPS 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library NIPS 2019
DL2: Training and Querying Neural Networks with Logic ICML 2019
On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters INTERSPEECH 2019
Neural Machine Translation with Reordering Embeddings ACL 2019
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers NIPS 2019
Splitting Steepest Descent for Growing Neural Architectures NIPS 2019
Lookahead Optimizer: k steps forward, 1 step back NIPS 2019
Fast and Accurate Stochastic Gradient Estimation NIPS 2019
On Lazy Training in Differentiable Programming NIPS 2019
A Primal Dual Formulation For Deep Learning With Constraints NIPS 2019
Leveraging Local and Global Patterns for Self-Attention Networks ACL 2019
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction ACL 2019