ICLR 2023

Workshop

Self-Generating Data for Goal-Conditioned Compositional Problems
Ying Yuan · Yunfei Li · Yi Wu

Poster

STaSy: Score-based Tabular data Synthesis
Jayoung Kim · Chaejeong Lee · Noseong Park

Poster

IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
Ruifei He · Shuyang Sun · Xin Yu · Chuhui Xue · Wenqing Zhang · Philip Torr · Song Bai · XIAOJUAN QI

Oral

Tue 6:50

From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
Zichen Jeff Cui · Yibin Wang · Nur Muhammad Shafiullah · Lerrel Pinto

Poster

Tue 7:30

From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
Zichen Jeff Cui · Yibin Wang · Nur Muhammad Shafiullah · Lerrel Pinto

Poster

Semi-supervised learning with a principled likelihood from a generative model of data curation
Stoil Ganev · Laurence Aitchison

Poster

Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Yong Zhong · Hongtao Liu · Xiaodong Liu · Fan Bao · Weiran Shen · Chongxuan Li

Poster

Mon 2:30

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
Tennison Liu · Zhaozhi Qian · Jeroen Berrevoets · Mihaela van der Schaar

Poster

Language Models are Realistic Tabular Data Generators
Vadim Borisov · Kathrin Seßler · Tobias Leemann · Martin Pawelczyk · Gjergji Kasneci

Oral

Tue 1:20

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu · Chengyue Gong · Qiang Liu

Poster

Tue 2:30

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu · Chengyue Gong · Qiang Liu

Poster

ChiroDiff: Modelling chirographic data with Diffusion Models
Ayan Das · Yongxin Yang · Timothy Hospedales · Tao Xiang · Yi-Zhe Song

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