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Machine Learning
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Application Areas
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Domain Adaptation
8,656 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
Triple Feature Disentanglement for One-Stage Adaptive Object Detection
AAAI 2024
Multi-Domain Incremental Learning for Face Presentation Attack Detection
AAAI 2024
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer
AAAI 2024
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation
AAAI 2024
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework
AAAI 2024
CPN: Complementary Proposal Network for Unconstrained Text Detection
AAAI 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
AAAI 2024
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
AAAI 2024
Zero-Shot Aerial Object Detection with Visual Description Regularization
AAAI 2024
Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification
AAAI 2024
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks
AAAI 2024
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
AAAI 2024
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
AAAI 2024
ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
AAAI 2024
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
AAAI 2024
Learning Image Demoiréing from Unpaired Real Data
AAAI 2024
Lifting by Image – Leveraging Image Cues for Accurate 3D Human Pose Estimation
AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
AAAI 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Learning to Reweight for Generalizable Graph Neural Network
AAAI 2024
Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation
AAAI 2024
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
AAAI 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
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