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Methodology
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Deep Learning
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Learning Types
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Self-Supervised Learning
2959 directly classified papers
Papers per year
2006: 3
2007: 1
2008: 2
2009: 3
2010: 1
2011: 3
2012: 5
2013: 5
2014: 8
2015: 9
2016: 15
2017: 23
2018: 59
2019: 146
2020: 289
2021: 389
2022: 485
2023: 547
2024: 445
2025: 502
2026: 19
Papers
Iterative Multi-Granular Image Editing Using Diffusion Models
WACV 2024
Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
CVPR 2024
Unsupervised Blind Image Deblurring Based on Self-Enhancement
CVPR 2024
Self-Supervised Representation Learning with Meta Comprehensive Regularization
AAAI 2024
Seeing Dark Videos via Self-Learned Bottleneck Neural Representation
AAAI 2024
AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning
AAAI 2024
LMD: Faster Image Reconstruction with Latent Masking Diffusion
AAAI 2024
M-BEV: Masked BEV Perception for Robust Autonomous Driving
AAAI 2024
Ungeneralizable Examples
CVPR 2024
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
AAAI 2024
DDAE: Towards Deep Dynamic Vision BERT Pretraining
AAAI 2024
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency
AAAI 2024
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
AAAI 2024
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
AAAI 2024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
NIPS 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
NIPS 2024
Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals
AAAI 2024
Zero-shot Image Editing with Reference Imitation
NIPS 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
NIPS 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
NIPS 2024
Poseidon: Efficient Foundation Models for PDEs
NIPS 2024
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
NIPS 2024
A Theoretical Understanding of Self-Correction through In-context Alignment
NIPS 2024
Learning Versatile Skills with Curriculum Masking
NIPS 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
NIPS 2024
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