conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Learning Types
Machine Learning
›
Learning Types
›
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
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
NIPS 2023
Understanding Contrastive Learning via Distributionally Robust Optimization
NIPS 2023
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
NIPS 2023
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
NIPS 2023
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
NIPS 2023
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
NIPS 2023
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
NIPS 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
NIPS 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
NIPS 2023
Multi Time Scale World Models
NIPS 2023
Use perturbations when learning from explanations
NIPS 2023
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
NIPS 2023
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
NIPS 2023
Convolutional Visual Prompt for Robust Visual Perception
NIPS 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
NIPS 2023
Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
NIPS 2023
Lookaround Optimizer: $k$ steps around, 1 step average
NIPS 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
NIPS 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
NIPS 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
NIPS 2023
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
NIPS 2023
Compressed Video Prompt Tuning
NIPS 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
NIPS 2023
Self-supervised Object-Centric Learning for Videos
NIPS 2023
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
NIPS 2023
<
1
…
116
117
118
…
331
>