conftrace_

neural network optimization

1293 papers

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Co-occurring keywords

model compression (3302) neural network (6616) convolutional neural network (4226) gradient descent (1144) stochastic gradient descent (1091) efficient computing (781) deep neural network (1803) large language model (13587) knowledge distillation (3725) representation learning (6206)

Papers

Model-free, Model-based, and General Intelligence IJCAI 2018
Speech Intelligibility Enhancement Based on a Non-causal Wavenet-like Model INTERSPEECH 2018
Removing the Feature Correlation Effect of Multiplicative Noise NIPS 2018
Kalman Normalization: Normalizing Internal Representations Across Network Layers NIPS 2018
How Does Batch Normalization Help Optimization? NIPS 2018
Adding One Neuron Can Eliminate All Bad Local Minima NIPS 2018
Porcupine Neural Networks: Approximating Neural Network Landscapes NIPS 2018
On the Local Hessian in Back-propagation NIPS 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation NIPS 2018
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition CVPR 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018
Constructing Fast Network through Deconstruction of Convolution NIPS 2018
Synaptic Strength For Convolutional Neural Network NIPS 2018
Inference-Invariant Transformation of Batch Normalization for Domain Adaptation of Acoustic Models INTERSPEECH 2018
Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models AISTATS 2018
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis NIPS 2018
Learning to Optimize Tensor Programs NIPS 2018
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization NIPS 2018
Learning Versatile Filters for Efficient Convolutional Neural Networks NIPS 2018
How to Start Training: The Effect of Initialization and Architecture NIPS 2018
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global ICML 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks IJCAI 2018
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization ICML 2018
BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks EMNLP 2018