Autoencoders

Provable Compositional Generalization for Object-Centric Learning ICLR 2024 QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation NeurIPS 2024 Representation Learning via Manifold Flattening and Reconstruction JMLR 2024 Rethinking Graph Masked Autoencoders through Alignment and Uniformity AAAI 2024 Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NeurIPS 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024 Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis CVPR 2024 Revisit and Outstrip Entity Alignment: A Perspective of Generative Models ICLR 2024 R-MAE: Regions Meet Masked Autoencoders ICLR 2024 Robustly overfitting latents for flexible neural image compression NeurIPS 2024 SALSA: Semantically-Aware Latent Space Autoencoder AAAI 2024 Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99% NeurIPS 2024 Scaling up masked audio encoder learning for general audio classification Interspeech 2024 SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation CVPR 2024 Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation NeurIPS 2024 Selective Deep Autoencoder for Unsupervised Feature Selection AAAI 2024 Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors CVPR 2024 Self-Guided Masked Autoencoder NeurIPS 2024 Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning ICLR 2024 Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less SemEval 2024 Self-Supervised Learning With Masked Autoencoders for Teeth Segmentation From Intra-Oral 3D Scans WACV 2024 SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder CVPR 2024 Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation ICLR 2024 SketchINR: A First Look into Sketches as Implicit Neural Representations CVPR 2024 Sparse Autoencoders Find Highly Interpretable Features in Language Models ICLR 2024