neural network optimization

Deterministic Mini-batch Sequencing for Training Deep Neural Networks AAAI 2021 DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities ICCV 2021 DI-Fusion: Online Implicit 3D Reconstruction With Deep Priors CVPR 2021 Direct Differentiable Augmentation Search ICCV 2021 Dissecting Supervised Contrastive Learning ICML 2021 Distance-Based Regularisation of Deep Networks for Fine-Tuning ICLR 2021 Does Preprocessing Help Training Over-parameterized Neural Networks? NeurIPS 2021 DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch AAAI 2021 Dynamic Resolution Network NeurIPS 2021 Early Stopping in Deep Networks: Double Descent and How to Eliminate it ICLR 2021 Effective Fusion Factor in FPN for Tiny Object Detection WACV 2021 EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation EMNLP 2021 Efficient Neural Network Training via Forward and Backward Propagation Sparsification NeurIPS 2021 Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021 Empirical Analysis of Generalized Iterative Speech Separation Networks Interspeech 2021 End-to-End High Dynamic Range Camera Pipeline Optimization CVPR 2021 Exploiting the Redundancy in Convolutional Filters for Parameter Reduction WACV 2021 Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption AAAI 2021 Fast and Accurate Model Scaling CVPR 2021 Faster Meta Update Strategy for Noise-Robust Deep Learning CVPR 2021 FracBits: Mixed Precision Quantization via Fractional Bit-Widths AAAI 2021 GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning EMNLP 2021 GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization ICCV 2021 Gradient Forward-Propagation for Large-Scale Temporal Video Modelling CVPR 2021 HAWQ-V3: Dyadic Neural Network Quantization ICML 2021