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Autoencoders

1095 directly classified papers

Papers per year

Papers

CF3: Compact and Fast 3D Feature Fields ICCV 2025
Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French NAACL 2025
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding IJCAI 2025
SemGes: Semantics-aware Co-Speech Gesture Generation using Semantic Coherence and Relevance Learning ICCV 2025
ARD-VAE: A Statistical Formulation to Find the Relevant Latent Dimensions of Variational Autoencoders WACV 2025
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds CVPR 2025
Interpretable Sparse Features for Probing Self-Supervised Speech Models IJCNLP 2025
VidTwin: Video VAE with Decoupled Structure and Dynamics CVPR 2025
Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets CVPR 2025
Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation ICCV 2025
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds CVPR 2025
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025
I3D-AE-LSTM: A 2-Stream Autoencoder for Action Quality Assessment using a Newly Created Cricket Batsman Video Dataset WACV 2025
SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction AAAI 2025
Latent Diffusion Models with Masked AutoEncoders ICCV 2025
Autoencoders in Function Space JMLR 2025
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise WACV 2025
SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images ICCV 2025
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder EMNLP 2025
BeautyBank: Encoding Facial Makeup in Latent Space WACV 2025
Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case AAAI 2025
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation AAAI 2025
SAEs Are Good for Steering – If You Select the Right Features EMNLP 2025
Latent Inter-User Difference Modeling for LLM Personalization EMNLP 2025
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025