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Machine Learning
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Domain Adaptation
8656 directly classified papers
Papers per year
2003: 1
2004: 2
2006: 11
2007: 9
2008: 8
2009: 13
2010: 14
2011: 16
2012: 16
2013: 44
2014: 32
2015: 44
2016: 126
2017: 203
2018: 378
2019: 662
2020: 726
2021: 1006
2022: 964
2023: 1217
2024: 1326
2025: 1387
2026: 451
Papers
Learning View-Invariant Sparse Representations for Cross-View Action Recognition
ICCV 2013
Meta-Transportability of Causal Effects: A Formal Approach
AISTATS 2013
Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes
CVPR 2013
Distributed Low-Rank Subspace Segmentation
ICCV 2013
Frustratingly Easy NBNN Domain Adaptation
ICCV 2013
An Adaptive Descriptor Design for Object Recognition in the Wild
ICCV 2013
Semi-supervised Domain Adaptation with Instance Constraints
CVPR 2013
Event Recognition in Videos by Learning from Heterogeneous Web Sources
CVPR 2013
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling
ICCV 2013
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
ICML 2013
Domain Adaptation under Target and Conditional Shift
ICML 2013
Joint Transfer and Batch-mode Active Learning
ICML 2013
POP: Person Re-identification Post-rank Optimisation
ICCV 2013
Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model
ICML 2013
A Machine Learning Framework for Programming by Example
ICML 2013
Transfer Feature Learning with Joint Distribution Adaptation
ICCV 2013
Attribute Adaptation for Personalized Image Search
ICCV 2013
Stability and Hypothesis Transfer Learning
ICML 2013
Reshaping Visual Datasets for Domain Adaptation
NIPS 2013
Unsupervised Domain Adaptation by Domain Invariant Projection
ICCV 2013
Deep content-based music recommendation
NIPS 2013
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
ICML 2013
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
ICML 2013
Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions
ICCV 2013
Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift
ACML 2013
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