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Generative Models

6,381 papers

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Papers

Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation ICCV 2021
Robustness and Generalization via Generative Adversarial Training ICCV 2021
Perceptual Variousness Motion Deblurring With Light Global Context Refinement ICCV 2021
In Defense of Scene Graphs for Image Captioning ICCV 2021
Internal Video Inpainting by Implicit Long-Range Propagation ICCV 2021
Deep kernel processes ICML 2021
Generalized Doubly Reparameterized Gradient Estimators ICML 2021
Scalable Normalizing Flows for Permutation Invariant Densities ICML 2021
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning ICML 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021
Learning from Nested Data with Ornstein Auto-Encoders ICML 2021
Riemannian Convex Potential Maps ICML 2021
Sliced Iterative Normalizing Flows ICML 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models ICML 2021
Measuring Robustness in Deep Learning Based Compressive Sensing ICML 2021
Bayesian Deep Learning via Subnetwork Inference ICML 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021
Coded-InvNet for Resilient Prediction Serving Systems ICML 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021
Improved Contrastive Divergence Training of Energy-Based Models ICML 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021
Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021