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Methodology
← Learning Types
Machine Learning
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Learning Types
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Self-Supervised Learning
8255 directly classified papers
Papers per year
2006: 8
2007: 7
2008: 7
2009: 9
2010: 12
2011: 7
2012: 13
2013: 11
2014: 12
2015: 17
2016: 35
2017: 97
2018: 191
2019: 441
2020: 663
2021: 1166
2022: 1170
2023: 1544
2024: 1323
2025: 1205
2026: 317
Papers
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding
CVPR 2025
Nonlinear functional regression by functional deep neural network with kernel embedding
JMLR 2025
Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning
CVPR 2025
SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
CVPR 2025
TreeMeshGPT: Artistic Mesh Generation with Autoregressive Tree Sequencing
CVPR 2025
Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition
CVPR 2025
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking
CVPR 2025
SEAL: Semantic Attention Learning for Long Video Representation
CVPR 2025
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
AAAI 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
JMLR 2025
Autoencoders in Function Space
JMLR 2025
Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders
CVPR 2025
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
JMLR 2025
Profiling neural grammar induction on morphemically tokenised child-directed speech
NAACL 2025
BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
CVPR 2025
Boost Your Human Image Generation Model via Direct Preference Optimization
CVPR 2025
Sonata: Self-Supervised Learning of Reliable Point Representations
CVPR 2025
DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models
SEMEVAL 2025
Visual Lexicon: Rich Image Features in Language Space
CVPR 2025
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
NAACL 2025
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
NAACL 2025
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
CVPR 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning
CVPR 2025
ViiNeuS: Volumetric Initialization for Implicit Neural Surface Reconstruction of Urban Scenes with Limited Image Overlap
CVPR 2025
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient
IJCAI 2025
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