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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
PiRank: Scalable Learning To Rank via Differentiable Sorting
NIPS 2021
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
NIPS 2021
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
NIPS 2021
Disentangled Contrastive Learning on Graphs
NIPS 2021
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
NIPS 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
NIPS 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
NIPS 2021
Cycle Self-Training for Domain Adaptation
NIPS 2021
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
NIPS 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
NIPS 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
NIPS 2021
Learning State Representations from Random Deep Action-conditional Predictions
NIPS 2021
Efficient Training of Visual Transformers with Small Datasets
NIPS 2021
Partial success in closing the gap between human and machine vision
NIPS 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
NIPS 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
NIPS 2021
Discovering and Achieving Goals via World Models
NIPS 2021
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
NIPS 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
NIPS 2021
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
NIPS 2021
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
NIPS 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
NIPS 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
NIPS 2021
Fast Abductive Learning by Similarity-based Consistency Optimization
NIPS 2021
No RL, No Simulation: Learning to Navigate without Navigating
NIPS 2021
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