research
∙
08/23/2023
Improving Generative Model-based Unfolding with Schrödinger Bridges
Machine learning-based unfolding has enabled unbinned and high-dimension...
share
research
∙
06/15/2023
Fast Training of Diffusion Models with Masked Transformers
We propose an efficient approach to train large diffusion models with ma...
research
∙
03/02/2023
Defending against Adversarial Audio via Diffusion Model
Deep learning models have been widely used in commercial acoustic system...
research
∙
02/12/2023
I^2SB: Image-to-Image Schrödinger Bridge
We propose Image-to-Image Schrödinger Bridge (I^2SB), a new class of con...
research
∙
02/09/2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Augmenting pretrained language models (LMs) with a vision encoder (e.g.,...
research
∙
11/24/2022
Fast Sampling of Diffusion Models via Operator Learning
Diffusion models have found widespread adoption in various areas. Howeve...
research
∙
11/01/2022
DensePure: Understanding Diffusion Models towards Adversarial Robustness
Diffusion models have been recently employed to improve certified robust...
research
∙
09/30/2022
Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models
Molecular complexes formed by proteins and small-molecule ligands are ub...
research
∙
09/15/2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Pre-trained vision-language models (e.g., CLIP) have shown promising zer...
research
∙
08/23/2022
Retrieval-based Controllable Molecule Generation
Generating new molecules with specified chemical and biological properti...
research
∙
08/21/2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
3D Point cloud is becoming a critical data representation in many real-w...
research
∙
05/27/2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
A significant gap remains between today's visual pattern recognition mod...
research
∙
05/16/2022
Diffusion Models for Adversarial Purification
Adversarial purification refers to a class of defense methods that remov...
research
∙
04/24/2022
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Reasoning about visual relationships is central to how humans interpret ...
research
∙
10/21/2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Controllable generation is one of the key requirements for successful ad...
research
∙
10/02/2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Humans have an inherent ability to learn novel concepts from only a few ...
research
∙
06/12/2020
LaRVAE: Label Replacement VAE for Semi-Supervised Disentanglement Learning
Learning interpretable and disentangled representations is a crucial yet...
research
∙
03/06/2020
Semi-Supervised StyleGAN for Disentanglement Learning
Disentanglement learning is crucial for obtaining disentangled represent...
research
∙
06/24/2018
JR-GAN: Jacobian Regularization for Generative Adversarial Networks
Generative adversarial networks (GANs) are notoriously difficult to trai...
research
∙
05/18/2018
