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← Learning Types
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
Guiding Large Language Models via Directional Stimulus Prompting
NIPS 2023
DiffUTE: Universal Text Editing Diffusion Model
NIPS 2023
Implicit variance regularization in non-contrastive SSL
NIPS 2023
TopoSRL: Topology preserving self-supervised Simplicial Representation Learning
NIPS 2023
Learning Human Action Recognition Representations Without Real Humans
NIPS 2023
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
NIPS 2023
Self-supervised video pretraining yields robust and more human-aligned visual representations
NIPS 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
NIPS 2023
MomentDiff: Generative Video Moment Retrieval from Random to Real
NIPS 2023
Gacs-Korner Common Information Variational Autoencoder
NIPS 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
NIPS 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
NIPS 2023
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
NIPS 2023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
NIPS 2023
Toolformer: Language Models Can Teach Themselves to Use Tools
NIPS 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
NIPS 2023
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
NIPS 2023
Unbiased learning of deep generative models with structured discrete representations
NIPS 2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
NIPS 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
NIPS 2023
Why think step by step? Reasoning emerges from the locality of experience
NIPS 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
NIPS 2023
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
NIPS 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
NIPS 2023
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
NIPS 2023
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