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neural network optimization

1,462 papers

Papers

Exploring Model-based Planning with Policy Networks ICLR 2020 F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation CVPR 2020 Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks CVPR 2020 FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020 Fixed-Point Back-Propagation Training CVPR 2020 Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020 Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees AISTATS 2020 Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020 Group-Wise Dynamic Dropout Based on Latent Semantic Variations AAAI 2020 Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines CVPR 2020 Harmonic Lowering for Accelerating Harmonic Convolution for Audio Signals Interspeech 2020 HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks NeurIPS 2020 How Can Self-Attention Networks Recognize Dyck-n Languages? EMNLP 2020 How to Characterize The Landscape of Overparameterized Convolutional Neural Networks NeurIPS 2020 ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020 Improved Training Strategies for End-to-End Speech Recognition in Digital Voice Assistants Interspeech 2020 Improve Transformer Models with Better Relative Position Embeddings EMNLP 2020 Inefficiency of K-FAC for Large Batch Size Training AAAI 2020 Information-Theoretic Local Minima Characterization and Regularization ICML 2020 Interference and Generalization in Temporal Difference Learning ICML 2020 Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? IJCAI 2020 Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout NeurIPS 2020 Kernel Based Progressive Distillation for Adder Neural Networks NeurIPS 2020 L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020