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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition NIPS 2023
Coherent Soft Imitation Learning NIPS 2023
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity NIPS 2023
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training NIPS 2023
Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs NIPS 2023
PRODIGY: Enabling In-context Learning Over Graphs NIPS 2023
Incomplete Multimodality-Diffused Emotion Recognition NIPS 2023
Adversarial Examples Are Not Real Features NIPS 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs NIPS 2023
What Makes Good Examples for Visual In-Context Learning? NIPS 2023
Data Pruning via Moving-one-Sample-out NIPS 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance NIPS 2023
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising NIPS 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning NIPS 2023
Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing NIPS 2023
Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On NIPS 2023
Generative Neural Fields by Mixtures of Neural Implicit Functions NIPS 2023
MAViL: Masked Audio-Video Learners NIPS 2023
Combating Representation Learning Disparity with Geometric Harmonization NIPS 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model NIPS 2023
Combating Bilateral Edge Noise for Robust Link Prediction NIPS 2023
Does Visual Pretraining Help End-to-End Reasoning? NIPS 2023
Improving multimodal datasets with image captioning NIPS 2023
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks NIPS 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NIPS 2023