DSAI@MQ

DSAI (including Machine Learning, NLP and Computer Vision) Reading Series

Latent Diffusion Models

Papers: High-Resolution Image Synthesis with Latent Diffusion Models
Denoising diffusion probabilistic models
Improved techniques for training score-based generative models
Venue: FSE-4RPD-334
Time: 2 Jan 2024
Presenter: Hui Chen

Deep vision, language to action modeling

Papers: When and why vision-language models behave like bags-of-words, and what to do about it?
A Dual Representation Framework for Robot Learning with Human Guidance
Decomposing NeRF for Editing via Feature Field Distillation
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
Slide: Download
Venue: FSE-4RPD-334
Time: 15 Dec 2023
Presenter: Peizhen Li

Deep probabilistic generative model

Papers: Bayesian Flow Networks
NVAE: A Deep Hierarchical Variational Autoencoder
Self-conditioned Image Generation via Generating Representations
CVPR2022 Tutorial: Denoising Diffusion-based Generative Modeling
Venue: FSE-4RPD-334
Time: 5 Dec 2023
Presenter: Zhangkai Wu

Spiking neural networks

Papers: Online Training Through Time for Spiking Neural Networks
Venue: FSE-4RPD-334
Time: 28 Nov 2023
Presenter: Matthew Lai

Bidirectional layout transformer

Papers: BLT: Bidirectional Layout Transformer for Controllable Layout Generation
Venue: FSE-4RPD-334
Time: 21 Nov 2023
Presenter: Manqing Dong

Out-of-distribution and knowledge transferability

Papers: Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection
R-divergence for Estimating Model-oriented Distribution Discrepancy
Dual Representation Learning for Out-of-distribution Detection
Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators
Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data
Venue: FSE-4RPD-334
Time: 14 Nov 2023
Presenter: Zhilin Zhao

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