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Autoencoders

1095 directly classified papers

Papers per year

Papers

Controllable 3D Face Generation with Conditional Style Code Diffusion AAAI 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NIPS 2024
Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing INTERSPEECH 2024
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks EMNLP 2024
LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities AAAI 2024
Design2Cloth: 3D Cloth Generation from 2D Masks CVPR 2024
Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders INTERSPEECH 2024
Attention-augmented X-vectors for the Evaluation of Mimicked Speech Using Sparse Autoencoder-LSTM framework INTERSPEECH 2024
Extraction of interpretable and shared speaker-specific speech attributes through binary auto-encoder INTERSPEECH 2024
PARAN: Variational Autoencoder-based End-to-End Articulation-to-Speech System for Speech Intelligibility INTERSPEECH 2024
Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method AAAI 2024
Challenging Error Correction in Recognised Byzantine Greek ACL 2024
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget AAAI 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models NIPS 2024
Causal Representation Learning via Counterfactual Intervention AAAI 2024
DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space AAAI 2024
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis AAAI 2024
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders AAAI 2024
EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals AAAI 2024
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders NIPS 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs NIPS 2024
M33D: Learning 3D Priors Using Multi-Modal Masked Autoencoders for 2D Image and Video Understanding WACV 2024
Deep Embedding Clustering Driven by Sample Stability IJCAI 2024
Scaling up masked audio encoder learning for general audio classification INTERSPEECH 2024
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding CVPR 2024