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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Neural Network Optimization
3648 directly classified papers
Papers per year
2001: 1
2003: 1
2005: 2
2006: 3
2007: 6
2008: 1
2009: 7
2010: 5
2011: 7
2012: 9
2013: 17
2014: 18
2015: 40
2016: 76
2017: 113
2018: 214
2019: 324
2020: 414
2021: 489
2022: 445
2023: 524
2024: 469
2025: 386
2026: 77
Papers
NLFIIT at SemEval-2020 Task 11: Neural Network Architectures for Detection of Propaganda Techniques in News Articles
COLING 2020
UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation
COLING 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
NIPS 2020
On the Computational Power of Transformers and Its Implications in Sequence Modeling
CONLL 2020
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
NIPS 2019
RENAS: Reinforced Evolutionary Neural Architecture Search
CVPR 2019
AutoDispNet: Improving Disparity Estimation With AutoML
ICCV 2019
Optimizing Network Structure for 3D Human Pose Estimation
ICCV 2019
Cell-aware Stacked LSTMs for Modeling Sentences
ACML 2019
MFAS: Multimodal Fusion Architecture Search
CVPR 2019
Look Back and Predict Forward in Image Captioning
CVPR 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series
MLHC 2019
Universally Slimmable Networks and Improved Training Techniques
ICCV 2019
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
CVPR 2019
Quantization Networks
CVPR 2019
RePr: Improved Training of Convolutional Filters
CVPR 2019
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks
CVPR 2019
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning
ICCV 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
CVPR 2019
An Input-aware Factorization Machine for Sparse Prediction
IJCAI 2019
Wide-Coverage Neural A* Parsing for Minimalist Grammars
ACL 2019
Robust Video Stabilization by Optimization in CNN Weight Space
CVPR 2019
A Flexible Convolutional Solver for Fast Style Transfers
CVPR 2019
The implicit bias of gradient descent on nonseparable data
COLT 2019
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
CVPR 2019
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