Skip to content
conftrace_

neural network optimization

1,462 papers

Papers

Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020 Towards Stable and Efficient Training of Verifiably Robust Neural Networks ICLR 2020 Towards Unified INT8 Training for Convolutional Neural Network CVPR 2020 Training-Time-Friendly Network for Real-Time Object Detection AAAI 2020 Train Once, and Decode As You Like COLING 2020 UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa EMNLP 2020 ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks WACV 2020 Ultra-Low Precision 4-bit Training of Deep Neural Networks NeurIPS 2020 Understanding and Exploring the Network with Stochastic Architectures NeurIPS 2020 Understanding the Disharmony between Weight Normalization Family and Weight Decay AAAI 2020 Understanding Why Neural Networks Generalize Well Through GSNR of Parameters ICLR 2020 Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020 VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract) AAAI 2020 What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020 Wide Hidden Expansion Layer for Deep Convolutional Neural Networks WACV 2020 Acoustic Model Optimization Based on Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition Interspeech 2019 Adversarial Robustness vs. Model Compression, or Both? ICCV 2019 A Kernel Perspective for Regularizing Deep Neural Networks ICML 2019 All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification CVPR 2019 A Mean Field Theory of Batch Normalization ICLR 2019 A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off NeurIPS 2019 Analysis of Quantized Models ICLR 2019 Analyzing Federated Learning through an Adversarial Lens ICML 2019 An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression AAAI 2019 An Empirical study of Binary Neural Networks' Optimisation ICLR 2019