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Methodology
← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18863 directly classified papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
iMoT: Inertial Motion Transformer for Inertial Navigation
AAAI 2025
MITracker: Multi-View Integration for Visual Object Tracking
CVPR 2025
Boosting Image De-Raining via Central-Surrounding Synergistic Convolution
AAAI 2025
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
AAAI 2025
Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
CVPR 2025
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection
AAAI 2025
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer
AAAI 2025
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
AAAI 2025
Explicit Relational Reasoning Network for Scene Text Detection
AAAI 2025
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex
AAAI 2025
Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples
AAAI 2025
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
AAAI 2025
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
AAAI 2025
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
AAAI 2025
Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery
AAAI 2025
Effective and Efficient Representation Learning for Flight Trajectories
AAAI 2025
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation
AAAI 2025
GLIC: General Format Learned Image Compression
AAAI 2025
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
AAAI 2025
Cross-modal Multi-task Learning for Multimedia Event Extraction
AAAI 2025
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
AAAI 2025
Region-Level Data Attribution for Text-to-Image Generative Models
ICCV 2025
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection
JMLR 2025
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
AAAI 2025
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
AAAI 2025
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