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Methodology
← Core Methods
Machine Learning
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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
Low Resource Quadratic Forms for Knowledge Graph Embeddings
EMNLP 2021
Neural Architecture Search With Random Labels
CVPR 2021
Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions
AAAI 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
NIPS 2021
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
AAAI 2020
Improved Subsampled Randomized Hadamard Transform for Linear SVM
AAAI 2020
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio
AAAI 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework
AAAI 2020
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm
AAAI 2020
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection
AAAI 2020
Learning Optimal Decision Trees Using Caching Branch-and-Bound Search
AAAI 2020
Distributed Stochastic Gradient Descent with Event-Triggered Communication
AAAI 2020
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices
UAI 2020
Semi-bandit Optimization in the Dispersed Setting
UAI 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace
UAI 2020
Learning Combinatorial Solver for Graph Matching
CVPR 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
ICML 2020
Minimizing Discrete Total Curvature for Image Processing
CVPR 2020
Cogradient Descent for Bilinear Optimization
CVPR 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
AAAI 2020
Image denoising via K-SVD with primal-dual active set algorithm
WACV 2020
An Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means
AAAI 2020
Robust estimation of local affine maps and its applications to image matching
WACV 2020
Depth Completion via Deep Basis Fitting
WACV 2020
Themis: Fair and Efficient GPU Cluster Scheduling
NSDI 2020
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