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∙ 08/23/2023

Improving Generative Model-based Unfolding with Schrödinger Bridges

Machine learning-based unfolding has enabled unbinned and high-dimension...

0 Sascha Diefenbacher, et al. ∙

∙ 06/15/2023

Fast Training of Diffusion Models with Masked Transformers

We propose an efficient approach to train large diffusion models with ma...

14 Hongkai Zheng, et al. ∙

∙ 03/02/2023

Defending against Adversarial Audio via Diffusion Model

Deep learning models have been widely used in commercial acoustic system...

0 Shutong Wu, et al. ∙

∙ 02/12/2023

I^2SB: Image-to-Image Schrödinger Bridge

We propose Image-to-Image Schrödinger Bridge (I^2SB), a new class of con...

6 Guan-Horng Liu, et al. ∙

∙ 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.,...

0 Zhuolin Yang, et al. ∙

∙ 11/24/2022

Fast Sampling of Diffusion Models via Operator Learning

Diffusion models have found widespread adoption in various areas. Howeve...

17 Hongkai Zheng, et al. ∙

∙ 11/01/2022

DensePure: Understanding Diffusion Models towards Adversarial Robustness

Diffusion models have been recently employed to improve certified robust...

7 Chaowei Xiao, et al. ∙

∙ 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...

31 Zhuoran Qiao, et al. ∙

∙ 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...

29 Manli Shu, et al. ∙

∙ 08/23/2022

Retrieval-based Controllable Molecule Generation

Generating new molecules with specified chemical and biological properti...

21 Zichao Wang, et al. ∙

∙ 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...

5 Jiachen Sun, et al. ∙

∙ 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...

16 Huaizu Jiang, et al. ∙

∙ 05/16/2022

Diffusion Models for Adversarial Purification

Adversarial purification refers to a class of defense methods that remov...

38 Weili Nie, et al. ∙

∙ 04/24/2022

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

Reasoning about visual relationships is central to how humans interpret ...

6 Xiaojian Ma, et al. ∙

∙ 10/21/2021

Controllable and Compositional Generation with Latent-Space Energy-Based Models

Controllable generation is one of the key requirements for successful ad...

13 Weili Nie, et al. ∙

∙ 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 ...

10 Weili Nie, et al. ∙

∙ 06/12/2020

LaRVAE: Label Replacement VAE for Semi-Supervised Disentanglement Learning

Learning interpretable and disentangled representations is a crucial yet...

0 Weili Nie, et al. ∙

∙ 03/06/2020

Semi-Supervised StyleGAN for Disentanglement Learning

Disentanglement learning is crucial for obtaining disentangled represent...

24 Weili Nie, et al. ∙

∙ 06/24/2018

JR-GAN: Jacobian Regularization for Generative Adversarial Networks

Generative adversarial networks (GANs) are notoriously difficult to trai...

0 Weili Nie, et al. ∙

∙ 05/18/2018

A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations

Backpropagation-based visualizations have been proposed to interpret con...

0 Weili Nie, et al. ∙

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