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← Learning Types
Machine Learning
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Learning Types
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Self-Supervised Learning
8,255 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
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
NIPS 2023
Diversifying Spatial-Temporal Perception for Video Domain Generalization
NIPS 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features
NIPS 2023
Group Robust Classification Without Any Group Information
NIPS 2023
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
NIPS 2023
Effective Targeted Attacks for Adversarial Self-Supervised Learning
NIPS 2023
Masked Image Residual Learning for Scaling Deeper Vision Transformers
NIPS 2023
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
NIPS 2023
Reverse Engineering Self-Supervised Learning
NIPS 2023
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
NIPS 2023
4M: Massively Multimodal Masked Modeling
NIPS 2023
Identifiable Contrastive Learning with Automatic Feature Importance Discovery
NIPS 2023
RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
NIPS 2023
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
NIPS 2023
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
NIPS 2023
Revisiting Implicit Differentiation for Learning Problems in Optimal Control
NIPS 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
NIPS 2023
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
NIPS 2023
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning
NIPS 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
NIPS 2023
ResMem: Learn what you can and memorize the rest
NIPS 2023
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
NIPS 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
NIPS 2023
Solving Inverse Physics Problems with Score Matching
NIPS 2023
Equivariant Neural Operator Learning with Graphon Convolution
NIPS 2023
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