conftrace_

Models

20,488 papers (23 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Generative Models (8,597) Diffusion Models (6,478) Large Language Models (2,815) Variational Inference (2,186) Vision-Language Models (839) Language Models (763) Foundation Models (330) Language Modeling (92) Variational Autoencoders (67) Neural Radiance Fields (46) Sequence-to-Sequence (42) Variational Autoencoder (24)

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Papers (including subtopics)

Unity Style Transfer for Person Re-Identification CVPR 2020 Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software AAAI 2020 Unpaired Image Super-Resolution Using Pseudo-Supervision CVPR 2020 Unpaired Point Cloud Completion on Real Scans using Adversarial Training ICLR 2020 Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping CVPR 2020 Unsupervised Acoustic Unit Representation Learning for Voice Conversion Using WaveNet Auto-Encoders Interspeech 2020 Unsupervised Audio Source Separation Using Generative Priors Interspeech 2020 Unsupervised Cross-Domain Singing Voice Conversion Interspeech 2020 Unsupervised Domain Clusters in Pretrained Language Models ACL 2020 Unsupervised Learning for Sequence-to-Sequence Text-to-Speech for Low-Resource Languages Interspeech 2020 Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control NeurIPS 2020 Unsupervised Model Selection for Variational Disentangled Representation Learning ICLR 2020 Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting ACL 2020 Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling AAAI 2020 User-Dependent Neural Sequence Models for Continuous-Time Event Data NeurIPS 2020 VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NeurIPS 2020 Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference NeurIPS 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020 Variational Amodal Object Completion NeurIPS 2020 Variational Autoencoders and Nonlinear ICA: A Unifying Framework AISTATS 2020 Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities ICLR 2020 Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020 Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution COLING 2020 Variational Bayesian Quantization ICML 2020