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Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

2
20
62
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4276
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Papers (including subtopics)

Disentangled Lifespan Face Synthesis ICCV 2021
Towards Vivid and Diverse Image Colorization With Generative Color Prior ICCV 2021
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation ICCV 2021
F-Drop&Match: GANs With a Dead Zone in the High-Frequency Domain ICCV 2021
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
Likelihood-Based Diverse Sampling for Trajectory Forecasting 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
Automatic variational inference with cascading flows ICML 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models 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
Unified Robust Semi-Supervised Variational Autoencoder 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
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models ICML 2021