Newbeeer

Poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

pfgmpp

Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

diffusion_restart_sampling

Code for NeurIPS 2023 paper "Restart Sampling for Improving Generative Processes"

L_DMI

Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

stf

Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”

orthogonal_classifier

Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"

Max-MIG

Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"

Anytime-Auto-Regressive-Model

Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"

V-information

Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"

TRM

Learning Representations that Support Robust Transfer of Predictors

particle-guidance

Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Semi-supervised-Multi-Modalities-Learning

statistical-learning-course-project

A-Survey-on-Generative-Diffusion-Model

academic-kickstart

awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

DA_label

disco-diff.github.io

edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

newbeeer.github.io

an academic homepage based on jekyll