firstbacksecondback
37 Results
Poster
|
Fri 1:45 |
On the Provable Advantage of Unsupervised Pretraining Jiawei Ge · Shange Tang · Jianqing Fan · Chi Jin |
|
Poster
|
Fri 1:45 |
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data Antonis Antoniades · Yiyi Yu · Joe Canzano · William Wang · Spencer Smith |
|
Poster
|
Wed 1:45 |
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation Shahar Lutati · Eliya Nachmani · Lior Wolf |
|
Poster
|
Wed 7:30 |
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang · Haoyang Liu · Chaozhuo Li · Xing Xie · Sunghun Kim · Haohan Wang |
|
Poster
|
Tue 1:45 |
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining Siming Yan · Yuqi Yang · Yu-Xiao Guo · Hao Pan · Peng-Shuai Wang · 童欣 TONG XIN · Yang Liu · Qixing Huang |
|
Poster
|
Fri 1:45 |
Detecting Pretraining Data from Large Language Models Weijia Shi · Anirudh Ajith · Mengzhou Xia · Yangsibo Huang · Daogao Liu · Terra Blevins · Danqi Chen · Luke Zettlemoyer |
|
Poster
|
Thu 1:45 |
In-Context Pretraining: Language Modeling Beyond Document Boundaries Weijia Shi · Sewon Min · Maria Lomeli · Chunting Zhou · Margaret Li · Victoria Lin · Noah Smith · Luke Zettlemoyer · Scott Yih · Mike Lewis |
|
Poster
|
Tue 1:45 |
Emu: Generative Pretraining in Multimodality Quan Sun · Qiying Yu · Yufeng Cui · Fan Zhang · Xiaosong Zhang · Yueze Wang · Hongcheng Gao · Jingjing Liu · Tiejun Huang · Xinlong Wang |
|
Poster
|
Thu 1:45 |
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango · Fabio Ferreira · Arlind Kadra · Frank Hutter · Josif Grabocka |
|
Poster
|
Fri 1:45 |
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? Jingfeng Wu · Difan Zou · Zixiang Chen · Vladimir Braverman · Quanquan Gu · Peter Bartlett |
|
Poster
|
Thu 1:45 |
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models Tianzhe Chu · Shengbang Tong · Tianjiao Ding · Xili Dai · Benjamin Haeffele · Rene Vidal · Yi Ma |
|
Poster
|
Wed 7:30 |
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models Zuxin Liu · Jesse Zhang · Kavosh Asadi · Yao Liu · DING ZHAO · Shoham Sabach · Rasool Fakoor |