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Machine Learning
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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
An Information Theory Perspective on Variance-Invariance-Covariance Regularization
NIPS 2023
Improving Self-supervised Molecular Representation Learning using Persistent Homology
NIPS 2023
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
NIPS 2023
Self-supervised Graph Neural Networks via Low-Rank Decomposition
NIPS 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling
NIPS 2023
Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
NIPS 2023
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
NIPS 2023
Representation Learning via Consistent Assignment of Views over Random Partitions
NIPS 2023
Goal Driven Discovery of Distributional Differences via Language Descriptions
NIPS 2023
Score-based Data Assimilation
NIPS 2023
Maximum Independent Set: Self-Training through Dynamic Programming
NIPS 2023
Siamese Masked Autoencoders
NIPS 2023
SwiFT: Swin 4D fMRI Transformer
NIPS 2023
A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
NIPS 2023
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
NIPS 2023
Explore In-Context Learning for 3D Point Cloud Understanding
NIPS 2023
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
NIPS 2023
Training Transitive and Commutative Multimodal Transformers with LoReTTa
NIPS 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
NIPS 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
NIPS 2023
Sequential Memory with Temporal Predictive Coding
NIPS 2023
On Separate Normalization in Self-supervised Transformers
NIPS 2023
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
NIPS 2023
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
NIPS 2023
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
NIPS 2023
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