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

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders EACL 2024
VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE ACL 2024
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs EMNLP 2024
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024
Poisson Variational Autoencoder NIPS 2024
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search NSDI 2024
A Causal Approach for Counterfactual Reasoning in Narratives ACL 2024
Towards Visual Text Design Transfer Across Languages NIPS 2024
Deep Hierarchical Video Compression AAAI 2024
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics ACL 2024
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder NAACL 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024
MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space ACL 2024
Towards Variable and Coordinated Holistic Co-Speech Motion Generation CVPR 2024
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media ACL 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024
Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023
Disentangled Representation for Causal Mediation Analysis AAAI 2023
Learning Dynamic Latent Spaces for Lifelong Generative Modelling AAAI 2023
Continual Variational Autoencoder via Continual Generative Knowledge Distillation AAAI 2023
Towards Symmetry-Aware Generation of Periodic Materials NIPS 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023
Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation EMNLP 2023