UW-Madison-Lee-Lab

CLIP_Counting

Code for "Zero-shot Improvement of Object Counting with CLIP"

CoBSAT

Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"

CodedInvNet

ICML2021

Dual_Operating_Modes_of_ICL

Expressive_Power_of_LoRA

Code for "The Expressive Power of Low-Rank Adaptation".

InRep

LanguageInterfacedFineTuning

Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.

score-wasserstein

Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.

SFT-PG

Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023

walip

UW-Madison-Lee-Lab/LanguageInterfacedFineTuning

Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.

UW-Madison-Lee-Lab/CoBSAT

Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"

UW-Madison-Lee-Lab/SFT-PG

Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023

UW-Madison-Lee-Lab/Expressive_Power_of_LoRA

Code for "The Expressive Power of Low-Rank Adaptation".

UW-Madison-Lee-Lab/score-wasserstein

Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.

UW-Madison-Lee-Lab/Dual_Operating_Modes_of_ICL

UW-Madison-Lee-Lab/CLIP_Counting

Code for "Zero-shot Improvement of Object Counting with CLIP"

UW-Madison-Lee-Lab/InRep

UW-Madison-Lee-Lab/ENTP

UW-Madison-Lee-Lab/CodedInvNet

ICML2021

UW-Madison-Lee-Lab/GenLabel_official

ICML 2022 Paper entitled "GenLabel: Mixup Relabeling using Generative Models": https://arxiv.org/pdf/2201.02354.pdf

UW-Madison-Lee-Lab/looped-tf

UW-Madison-Lee-Lab/walip

UW-Madison-Lee-Lab/Coded_Prompts_for_LLMs

Code for "Coded Prompts for Large Language Models".

UW-Madison-Lee-Lab/Improving-Fairness-via-Federated-Learning