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Neural Network Optimization

3,649 papers

Papers per year

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Papers

Show Your Work: Improved Reporting of Experimental Results EMNLP 2019
Fine-tune BERT with Sparse Self-Attention Mechanism EMNLP 2019
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition EMNLP 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019
Visualizing and Understanding the Effectiveness of BERT EMNLP 2019
Revealing the Dark Secrets of BERT EMNLP 2019
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons EMNLP 2019
Making Asynchronous Stochastic Gradient Descent Work for Transformers EMNLP 2019
Forecasting Firm Material Events from 8-K Reports EMNLP 2019
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models EMNLP 2019
Exploring Randomly Wired Neural Networks for Image Recognition ICCV 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation ICCV 2019
Multinomial Distribution Learning for Effective Neural Architecture Search ICCV 2019
Universally Slimmable Networks and Improved Training Techniques ICCV 2019
AutoDispNet: Improving Disparity Estimation With AutoML ICCV 2019
Differentiable Kernel Evolution ICCV 2019
Optimizing Network Structure for 3D Human Pose Estimation ICCV 2019
EvalNorm: Estimating Batch Normalization Statistics for Evaluation ICCV 2019
One-Shot Neural Architecture Search via Self-Evaluated Template Network ICCV 2019
Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification ICCV 2019
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning ICCV 2019
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks ICCV 2019
Fast and Practical Neural Architecture Search ICCV 2019
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification ICCV 2019
Static Automatic Batching In TensorFlow ICML 2019