conftrace_

variational autoencoder

1288 papers

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Co-occurring keywords

generative model (2892) variational inference (2069) latent space (854) representation learning (6206) latent representation (418) latent variable (541) disentangled representation (521) unsupervised learning (3264) latent variable model (564) generative adversarial network (1944)

Papers

Full-Atom Peptide Design with Geometric Latent Diffusion NIPS 2024
Long-Tailed Anomaly Detection with Learnable Class Names CVPR 2024
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification AAAI 2024
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles AAAI 2024
Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NIPS 2024
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow AAAI 2024
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024
MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion AAAI 2024
Adversarial Purification with the Manifold Hypothesis AAAI 2024
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality AAAI 2024
Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures AAAI 2024
Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction CVPR 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024
Towards Variable and Coordinated Holistic Co-Speech Motion Generation CVPR 2024
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder CVPR 2024
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs EMNLP 2024
QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation NIPS 2024
Putting Back the Stops: Integrating Syntax with Neural Topic Models IJCAI 2024
A Causal Approach for Counterfactual Reasoning in Narratives ACL 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning IJCAI 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models NIPS 2024
MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space ACL 2024