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Poster
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
SungYub Kim · Sihwan Park · Kyungsu Kim · Eunho Yang
Poster
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Junfeng Guo · Yiming Li · Xun Chen · Hanqing Guo · Lichao Sun · Cong Liu
Oral
Mon 1:50 Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · Xinyang Geng · George Tucker · Sergey Levine
Poster
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen · Xiao Wang · Soravit Changpinyo · AJ Piergiovanni · Piotr Padlewski · Daniel Salz · Sebastian Goodman · Adam Grycner · Basil Mustafa · Lucas Beyer · Alexander Kolesnikov · Joan Puigcerver · Nan Ding · Keran Rong · Hassan Akbari · Gaurav Mishra · Linting Xue · Ashish V. Thapliyal · James Bradbury · Weicheng Kuo · Mojtaba Seyedhosseini · Chao Jia · Burcu Karagol Ayan · Carlos Riquelme · Andreas Steiner · Anelia Angelova · Xiaohua Zhai · Neil Houlsby · Radu Soricut
Poster
Tue 7:30 Compositional Semantic Parsing with Large Language Models
Andrew Drozdov · Nathanael Schaerli · Ekin Akyürek · Nathan Scales · Xinying Song · Xinyun Chen · Olivier Bousquet · Denny Zhou
Poster
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
Yucheng Lu · Conglong Li · Minjia Zhang · Christopher De Sa · Yuxiong He
Poster
Wed 7:30 Scaling Laws for a Multi-Agent Reinforcement Learning Model
Oren Neumann · Claudius Gros
Workshop
Wed 23:45 Trustworthy and Reliable Large-Scale Machine Learning Models
Yu Cheng · Boxin Wang · Bo Li · Tom Goldstein · Sanmi Koyejo · Yejin Choi
Poster
Wed 2:30 Understanding Zero-shot Adversarial Robustness for Large-Scale Models
Chengzhi Mao · Scott Geng · Junfeng Yang · Xin Wang · Carl Vondrick
Workshop
Thu 4:00 SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Kamal · Kushal Tirumala · Daniel Simig · Surya Ganguli · Ari Morcos
Poster
Mon 2:30 CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong · Ming Ding · Wendi Zheng · Xinghan Liu · Jie Tang
Workshop
Thu 8:00 Scaling laws for deep neural networks: driving theory and understanding through experimental insights
Yasaman Bahri