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Deep Learning
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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
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
AAAI 2024
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation
AAAI 2024
Large Occluded Human Image Completion via Image-Prior Cooperating
AAAI 2024
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack
AAAI 2024
Cycle-Consistency Learning for Captioning and Grounding
AAAI 2024
Deep Learning on Graphs: A Data-Centric Exploration
AAAI 2024
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification
AAAI 2024
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
AAAI 2024
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
AAAI 2024
Improving Factual Error Correction by Learning to Inject Factual Errors
AAAI 2024
LMD: Faster Image Reconstruction with Latent Masking Diffusion
AAAI 2024
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
AAAI 2024
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
AAAI 2024
TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
AAAI 2024
ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining
AAAI 2024
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training
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
Self-Supervised Representation Learning with Meta Comprehensive Regularization
AAAI 2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
AAAI 2024
Explicit Visual Prompts for Visual Object Tracking
AAAI 2024
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
AAAI 2024
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
AAAI 2024
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
AAAI 2024
M-BEV: Masked BEV Perception for Robust Autonomous Driving
AAAI 2024
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