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76 Results
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Poster
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Wed 2:30 |
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping · Micah Goldblum · Gowthami Somepalli · Ravid Shwartz-Ziv · Tom Goldstein · Andrew Wilson |
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Poster
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Reparameterization through Spatial Gradient Scaling Alexander Detkov · Mohammad Salameh · Muhammad Fetrat Qharabagh · Jialin Zhang · Wei Lu · SHANGLING JUI · Di Niu |
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Poster
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Mon 2:30 |
A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution Sungyoon Lee · Cheongjae Jang |
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Workshop
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Wed 23:45 |
Trustworthy and Reliable Large-Scale Machine Learning Models Yu Cheng · Boxin Wang · Bo Li · Tom Goldstein · Sanmi Koyejo · Yejin Choi |
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Poster
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UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining Hyung Won Chung · Xavier Garcia · Adam Roberts · Yi Tay · Orhan Firat · SHARAN NARANG · Noah Constant |
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Poster
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Delving into Semantic Scale Imbalance Yanbiao Ma · Licheng Jiao · Fang Liu · Yuxin Li · Shuyuan Yang · Xu Liu |
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Poster
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Tue 2:30 |
Sampling-based inference for large linear models, with application to linearised Laplace Javier Antorán · Shreyas Padhy · Riccardo Barbano · Eric Nalisnick · David Janz · José Miguel Hernández Lobato |
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Poster
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LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval Tao Shen · Xiubo Geng · Chongyang Tao · Can Xu · Xiaolong Huang · Binxing Jiao · Linjun Yang · Daxin Jiang |
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Poster
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Tue 7:30 |
Approximate Vanishing Ideal Computations at Scale Elias Wirth · Hiroshi Kera · Sebastian Pokutta |
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Poster
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Any-scale Balanced Samplers for Discrete Space Haoran Sun · Bo Dai · Charles Sutton · Dale Schuurmans · Hanjun Dai |
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Poster
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Mon 2:30 |
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers Wenyi Hong · Ming Ding · Wendi Zheng · Xinghan Liu · Jie Tang |
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Workshop
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Thu 8:00 |
Scaling laws for deep neural networks: driving theory and understanding through experimental insights Yasaman Bahri |