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Self-Supervised Learning

8,255 papers

Papers per year

Papers

PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds NIPS 2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions NIPS 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion NIPS 2023
Synthetic Experience Replay NIPS 2023
TaskMet: Task-driven Metric Learning for Model Learning NIPS 2023
Self-Refine: Iterative Refinement with Self-Feedback NIPS 2023
OpenAssistant Conversations - Democratizing Large Language Model Alignment NIPS 2023
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections NIPS 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners NIPS 2023
Learning Interpretable Low-dimensional Representation via Physical Symmetry NIPS 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation NIPS 2023
Extracting Reward Functions from Diffusion Models NIPS 2023
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception NIPS 2023
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction NIPS 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring NIPS 2023
Neural Algorithmic Reasoning Without Intermediate Supervision NIPS 2023
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes NIPS 2023
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment NIPS 2023
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts NIPS 2023
Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation NIPS 2023
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling NIPS 2023
Generator Born from Classifier NIPS 2023
Curriculum Learning With Infant Egocentric Videos NIPS 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion NIPS 2023
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NIPS 2023