Neural Network Optimization
4,155 papers
Papers per year
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Papers
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
ICML 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
ICLR 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
ICML 2020
Elimination of All Bad Local Minima in Deep Learning
AISTATS 2020
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks
ICLR 2020
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
ICML 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
ICLR 2020
End-to-End ASR with Adaptive Span Self-Attention
Interspeech 2020
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking
EMNLP 2020
Enhancing Monotonicity for Robust Autoregressive Transformer TTS
Interspeech 2020
Enhancing Monotonic Multihead Attention for Streaming ASR
Interspeech 2020
Enhancing Urban Flow Maps via Neural ODEs
IJCAI 2020
ERMI at PARSEME Shared Task 2020: Embedding-Rich Multiword Expression Identification
COLING 2020
Escaping Saddle-Point Faster under Interpolation-like Conditions
NeurIPS 2020
Escaping the Gravitational Pull of Softmax
NeurIPS 2020
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise
JMLR 2020
Estimating Training Data Influence by Tracing Gradient Descent
NeurIPS 2020
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks
EMNLP 2020
Evolved Speech-Transformer: Applying Neural Architecture Search to End-to-End Automatic Speech Recognition
Interspeech 2020
Evolving Normalization-Activation Layers
NeurIPS 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks
NeurIPS 2020
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
NeurIPS 2020
Explicit Regularisation in Gaussian Noise Injections
NeurIPS 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
IJCAI 2020
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training
EMNLP 2020