conftrace_

generative model

2892 papers

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Also known as

GM

Co-occurring keywords

diffusion model (3751) image generation (2073) variational autoencoder (1288) variational inference (2069) neural network (6616) latent space (854) generative adversarial network (1944) representation learning (6206) unsupervised learning (3264) normalizing flow (354)

Papers

Improving Compositionality of Neural Networks by Decoding Representations to Inputs NIPS 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation NIPS 2021
On the Stochastic Stability of Deep Markov Models NIPS 2021
On Memorization in Probabilistic Deep Generative Models NIPS 2021
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders NIPS 2021
Artistic Style Transfer with Internal-external Learning and Contrastive Learning NIPS 2021
Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021
Invertible DenseNets with Concatenated LipSwish NIPS 2021
Making a (Counterfactual) Difference One Rationale at a Time NIPS 2021
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows IJCAI 2021
Scalable Normalizing Flows for Permutation Invariant Densities ICML 2021
Diffusion Models Beat GANs on Image Synthesis NIPS 2021
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting ICML 2021
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ICML 2021
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model ICML 2021
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement ICML 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021
Improved Denoising Diffusion Probabilistic Models ICML 2021
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021
Representational aspects of depth and conditioning in normalizing flows ICML 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics ICML 2021
Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes IJCAI 2021
Joint inference and input optimization in equilibrium networks NIPS 2021
Deep Extrapolation for Attribute-Enhanced Generation NIPS 2021