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

On the Convergence of SARAH and Beyond AISTATS 2020
Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters WACV 2020
Train Once, and Decode As You Like COLING 2020
Learning to Optimize Non-Rigid Tracking CVPR 2020
PowerNorm: Rethinking Batch Normalization in Transformers ICML 2020
Information-Theoretic Local Minima Characterization and Regularization ICML 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks ICML 2020
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent ICML 2020
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks ICML 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks ICML 2020
What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020
Learning a Unified Sample Weighting Network for Object Detection CVPR 2020
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? IJCAI 2020
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems IJCAI 2020
Revisiting the Sibling Head in Object Detector CVPR 2020
On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location CVPR 2020
Learning Dynamic Routing for Semantic Segmentation CVPR 2020
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains AAAI 2020
On the Computational Power of Transformers and Its Implications in Sequence Modeling CONLL 2020
MIPaaL: Mixed Integer Program as a Layer AAAI 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020
Stochastic Loss Function AAAI 2020