Co-occurring keywords · papers mentioning both
Papers
OpEvo: An Evolutionary Method for Tensor Operator Optimization
AAAI 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
IJCAI 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
ICML 2021
Optimization Planning for 3D ConvNets
ICML 2021
Optimizing Deeper Transformers on Small Datasets
ACL 2021
Orthogonal Over-Parameterized Training
CVPR 2021
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
NeurIPS 2021
Path-BN: Towards effective batch normalization in the Path Space for ReLU networks
UAI 2021
Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit
JMLR 2021
Phase-Wise Parameter Aggregation for Improving SGD Optimization
WACV 2021
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
AAAI 2021
Post-Training Sparsity-Aware Quantization
NeurIPS 2021
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
ICML 2021
Rank & Sort Loss for Object Detection and Instance Segmentation
ICCV 2021
RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging
EMNLP 2021
Regularizing Neural Networks via Adversarial Model Perturbation
CVPR 2021
Reliably Fast Adversarial Training via Latent Adversarial Perturbation
ICCV 2021
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
NeurIPS 2021
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement
CVPR 2021
Reverse engineering learned optimizers reveals known and novel mechanisms
NeurIPS 2021
Revisiting Weight Initialization of Deep Neural Networks
ACML 2021
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
AAAI 2021
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
NeurIPS 2021
SA-BNN: State-Aware Binary Neural Network
AAAI 2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
NeurIPS 2021