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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
Loss Function Learning for Domain Generalization by Implicit Gradient
ICML 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
ICML 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
ICML 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
CVPR 2022
Homography Loss for Monocular 3D Object Detection
CVPR 2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
ICML 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima
JMLR 2022
Early Stopping for Iterative Regularization with General Loss Functions
JMLR 2022
Project and Forget: Solving Large-Scale Metric Constrained Problems
JMLR 2022
SGD with Coordinate Sampling: Theory and Practice
JMLR 2022
Permutation Search of Tensor Network Structures via Local Sampling
ICML 2022
Image Based Reconstruction of Liquids From 2D Surface Detections
CVPR 2022
On Low-rank Trace Regression under General Sampling Distribution
JMLR 2022
Joint Continuous and Discrete Model Selection via Submodularity
JMLR 2022
Analyzing and Mitigating Interference in Neural Architecture Search
ICML 2022
Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration
CVPR 2022
A Difference Standardization Method for Mutual Transfer Learning
ICML 2022
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
ICML 2022
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization
JMLR 2022
Sparse Non-Local CRF
CVPR 2022
Bregman Power k-Means for Clustering Exponential Family Data
ICML 2022
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
AAAI 2022
Projected Robust PCA with Application to Smooth Image Recovery
JMLR 2022
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training
AAAI 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
ICML 2022
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