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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
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
CVPR 2018
NISP: Pruning Networks Using Neuron Importance Score Propagation
CVPR 2018
Spatially-Adaptive Filter Units for Deep Neural Networks
CVPR 2018
Self-Governing Neural Networks for On-Device Short Text Classification
EMNLP 2018
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
EMNLP 2018
Speeding Up Neural Machine Translation Decoding by Cube Pruning
EMNLP 2018
Revisiting Character-Based Neural Machine Translation with Capacity and Compression
EMNLP 2018
Simple Recurrent Units for Highly Parallelizable Recurrence
EMNLP 2018
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
EMNLP 2018
Scaling Neural Machine Translation
EMNLP 2018
DNN Multimodal Fusion Techniques for Predicting Video Sentiment
ACL 2018
OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models
ACL 2018
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
ACL 2018
Marian: Cost-effective High-Quality Neural Machine Translation in C++
ACL 2018
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU
ACL 2018
Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
ACL 2018
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
CVPR 2018
Recurrent Residual Module for Fast Inference in Videos
CVPR 2018
Fast End-to-End Trainable Guided Filter
CVPR 2018
Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks
CVPR 2018
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
CVPR 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
CVPR 2018
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
CVPR 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
NIPS 2018
Modular Networks: Learning to Decompose Neural Computation
NIPS 2018
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