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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
Siamese Box Adaptive Network for Visual Tracking
CVPR 2020
Projection & Probability-Driven Black-Box Attack
CVPR 2020
Understanding and Exploring the Network with Stochastic Architectures
NIPS 2020
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
NIPS 2020
Inefficiency of K-FAC for Large Batch Size Training
AAAI 2020
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion
AAAI 2020
What Makes Training Multi-Modal Classification Networks Hard?
CVPR 2020
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices
CVPR 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
CVPR 2020
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
CVPR 2020
Orthogonal Convolutional Neural Networks
CVPR 2020
DSNAS: Direct Neural Architecture Search Without Parameter Retraining
CVPR 2020
Learning Dynamic Routing for Semantic Segmentation
CVPR 2020
Controllable Orthogonalization in Training DNNs
CVPR 2020
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking
EMNLP 2020
An Empirical Investigation of Beam-Aware Training in Supertagging
EMNLP 2020
MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification
EMNLP 2020
On the Sub-layer Functionalities of Transformer Decoder
EMNLP 2020
Shallow-to-Deep Training for Neural Machine Translation
EMNLP 2020
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract)
AAAI 2020
Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract)
AAAI 2020
Understanding the Disharmony between Weight Normalization Family and Weight Decay
AAAI 2020
SPAN: A Stochastic Projected Approximate Newton Method
AAAI 2020
Towards Stream Translation: Adaptive Computation Time for Simultaneous Machine Translation
ACL 2020
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training
EMNLP 2020
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