ICLR 2023

Poster

Wed 7:30

Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
Tianxiang Hao · Hui Chen · Yuchen Guo · Guiguang Ding

Poster

Transfer NAS with Meta-learned Bayesian Surrogates
Gresa Shala · Thomas Elsken · Frank Hutter · Josif Grabocka

Oral

Tue 1:20

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

Poster

Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
Zaid Khan · Yun Fu

Poster

Tue 2:30

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

Poster

Tue 2:30

Interpretations of Domain Adaptations via Layer Variational Analysis
Huan-Hsin Tseng · Hsin-Yi Lin · Kuo-Hsuan Hung · Yu Tsao

Poster

Wed 2:30

Is Forgetting Less a Good Inductive Bias for Forward Transfer?
Jiefeng Chen · Timothy Nguyen · Dilan Gorur · Arslan Chaudhry

Poster

ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation
Chiu Wai Yan · Tsz Him Cheung · Dit-Yan Yeung

Workshop

Fri 1:50

Improving ecological connectivity assessments with transfer learning and function approximation
Michael Catchen · Michelle Lin · Timothée Poisot · David Rolnick · Andrew Gonzalez

Poster

Mon 2:30

How to prepare your task head for finetuning
YI REN · Shangmin Guo · Wonho Bae · Danica Sutherland

Workshop

Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
Patrick Emedom-Nnamdi · Abram Friesen · Bobak Shahriari · Matthew Hoffman · Nando de Freitas

Poster

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li · Yiwen Guo · Wangmeng Zuo · Hao Chen

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