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latent representation

514 papers

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Co-occurring keywords · papers mentioning both

variational autoencoder (123) representation learning (71) generative model (56) unsupervised learning (38) variational inference (38) diffusion model (27) image generation (23) disentangled representation (21) latent space (18) self-supervised learning (18)

Papers

t^3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence ICLR 2024 AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models IJCAI 2024 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NeurIPS 2024 AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers ICML 2024 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024 Causal Representation Learning via Counterfactual Intervention AAAI 2024 CoSy: Evaluating Textual Explanations of Neurons NeurIPS 2024 DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation CVPR 2024 Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines ACL 2024 DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction CVPR 2024 DyST: Towards Dynamic Neural Scene Representations on Real-World Videos ICLR 2024 Enforcing Sparsity on Latent Space for Robust and Explainable Representations WACV 2024 Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024 Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing Interspeech 2024 Feature Unlearning for Pre-trained GANs and VAEs AAAI 2024 Framework-Agnostic Semantically-Aware Global Reasoning for Segmentation WACV 2024 From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication ICLR 2024 Gated Inference Network: Inference and Learning State-Space Models NeurIPS 2024 Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models CVPR 2024 Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 EMNLP 2024 Graph Geometry-Preserving Autoencoders ICML 2024 Graph Positional and Structural Encoder ICML 2024 How Diffusion Models Learn to Factorize and Compose NeurIPS 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 Instruction Embedding: Latent Representations of Instructions Towards Task Identification NeurIPS 2024