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Poster
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Tue 9:00
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Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
Zeyue Xue · Jianming Liang · Guanglu Song · Zhuofan Zong · Liang Chen · Yu Liu · Ping Luo
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Workshop
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Large-scale self-supervised pre-training on protein three-dimensional structures
Ilya Senatorov
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Workshop
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Self Supervised Pre-training for Large Scale Tabular Data
Sharad Chitlangia · Anand Muralidhar · Rajat Agarwal
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Poster
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Thu 9:00
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Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala · Aram Markosyan · Luke Zettlemoyer · Armen Aghajanyan
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Workshop
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Fri 8:30
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SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Song Han
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Workshop
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Sat 7:45
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Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
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Poster
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Tue 9:00
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Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Zhiqi Bu · Jialin Mao · Shiyun Xu
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Poster
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TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training
Yulong Liu · Guibo Zhu · Bin Zhu · Qi Song · Guojing Ge · Haoran Chen · GuanHui Qiao · Ru Peng · Lingxiang Wu · Jinqiao Wang
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Workshop
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Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Dhruv Shah
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Poster
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Understanding the Failure of Batch Normalization for Transformers in NLP
Jiaxi Wang · Ji Wu · Lei Huang
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Affinity Workshop
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Dual Channel Training of Large Action Spaces in Reinforcement Learning
Pranavi Pathakota · Hardik Meisheri · Harshad Khadilkar
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Poster
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Thu 14:00
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ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Zhewei Yao · Reza Yazdani Aminabadi · Minjia Zhang · Xiaoxia Wu · Conglong Li · Yuxiong He
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