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

Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020
The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation CVPR 2020
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs CVPR 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives CVPR 2020
Optimizing Neural Networks via Koopman Operator Theory NIPS 2020
Parabolic Approximation Line Search for DNNs NIPS 2020
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020
Understanding and Exploring the Network with Stochastic Architectures NIPS 2020
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods NIPS 2020
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations NIPS 2020
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks NIPS 2019
Robust Text Classifier on Test-Time Budgets EMNLP 2019
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NIPS 2019
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias NIPS 2019
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution NIPS 2019
Semi-flat minima and saddle points by embedding neural networks to overparameterization NIPS 2019
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019
Root Mean Square Layer Normalization NIPS 2019
Large Scale Structure of Neural Network Loss Landscapes NIPS 2019
Generalization Bounds for Neural Networks via Approximate Description Length NIPS 2019
Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion INTERSPEECH 2019
Real-Time One-Pass Decoder for Speech Recognition Using LSTM Language Models INTERSPEECH 2019
Deep Learning without Weight Transport NIPS 2019
Wasserstein GAN With Quadratic Transport Cost ICCV 2019
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking ICML 2019