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← Optimization & Theory
Deep Learning
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Optimization & Theory
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Efficient Computing
1253 directly classified papers
Papers per year
2008: 1
2009: 1
2012: 2
2013: 2
2014: 10
2015: 6
2016: 14
2017: 19
2018: 59
2019: 71
2020: 113
2021: 128
2022: 162
2023: 159
2024: 225
2025: 281
Papers
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
CVPR 2019
Importance Estimation for Neural Network Pruning
CVPR 2019
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization
CVPR 2019
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation
CVPR 2019
Efficient Neural Network Compression
CVPR 2019
In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images
CVPR 2019
Logistic Regression on Homomorphic Encrypted Data at Scale
AAAI 2019
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
AAAI 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
AAAI 2019
Active Mini-Batch Sampling Using Repulsive Point Processes
AAAI 2019
Balanced Sparsity for Efficient DNN Inference on GPU
AAAI 2019
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
AAAI 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence
AAAI 2019
Super Sparse Convolutional Neural Networks
AAAI 2019
Divide and Conquer for Full-Resolution Light Field Deblurring
CVPR 2018
Fast Spectral Ranking for Similarity Search
CVPR 2018
Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy
CVPR 2018
Optimizing Video Object Detection via a Scale-Time Lattice
CVPR 2018
Learning Compressible 360° Video Isomers
CVPR 2018
ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions
CVPR 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
CVPR 2018
SBNet: Sparse Blocks Network for Fast Inference
CVPR 2018
BlockDrop: Dynamic Inference Paths in Residual Networks
CVPR 2018
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
CVPR 2018
Detail-Preserving Pooling in Deep Networks
CVPR 2018
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