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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
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
NIPS 2024
Full-Atom Peptide Design with Geometric Latent Diffusion
NIPS 2024
Exploration by Learning Diverse Skills through Successor State Representations
NIPS 2024
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
NIPS 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
NIPS 2024
Amortizing intractable inference in diffusion models for vision, language, and control
NIPS 2024
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
NIPS 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NIPS 2024
Humanoid Locomotion as Next Token Prediction
NIPS 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
NIPS 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
NIPS 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
NIPS 2024
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
NIPS 2024
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
NIPS 2024
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
NIPS 2024
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images
NIPS 2024
Improved off-policy training of diffusion samplers
NIPS 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments
NIPS 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
NIPS 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
NIPS 2024
Proving Olympiad Algebraic Inequalities without Human Demonstrations
NIPS 2024
SAM-Guided Masked Token Prediction for 3D Scene Understanding
NIPS 2024
Self-supervised Transformation Learning for Equivariant Representations
NIPS 2024
Towards a theory of how the structure of language is acquired by deep neural networks
NIPS 2024
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