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Methodology
← Core Methods
Machine Learning
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Core Methods
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Optimization
1184 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 1
2004: 2
2005: 3
2006: 12
2007: 12
2008: 20
2009: 10
2010: 15
2011: 15
2012: 36
2013: 76
2014: 59
2015: 48
2016: 45
2017: 58
2018: 61
2019: 72
2020: 82
2021: 95
2022: 111
2023: 101
2024: 144
2025: 100
2026: 3
Papers
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
ICML 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
ICML 2020
Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract)
AAAI 2020
An Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means
AAAI 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
AAAI 2020
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
AAAI 2020
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
IJCAI 2020
Self-Guided Evolution Strategies with Historical Estimated Gradients
IJCAI 2020
Can Cross Entropy Loss Be Robust to Label Noise?
IJCAI 2020
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
AAAI 2020
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
AAAI 2020
A Constraint-Based Approach to Learning and Explanation
AAAI 2020
Enhanced Transport Distance for Unsupervised Domain Adaptation
CVPR 2020
Filter Grafting for Deep Neural Networks
CVPR 2020
How to Train Your Deep Multi-Object Tracker
CVPR 2020
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
CVPR 2020
M-LVC: Multiple Frames Prediction for Learned Video Compression
CVPR 2020
Learning to Select Base Classes for Few-Shot Classification
CVPR 2020
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner
CVPR 2020
Uncorrected Least-Squares Temporal Difference with Lambda-Return
AAAI 2020
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
EMNLP 2020
Solving Multiple Inference by Minimizing Expected Loss
PGM 2020
Efficient Heuristic Search for M-Modes Inference
PGM 2020
Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models
L4DC 2020
Themis: Fair and Efficient GPU Cluster Scheduling
NSDI 2020
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