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Poster
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Thu 9:00
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An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti · Stefano Mannelli · Andrew Saxe
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Poster
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Tue 9:00
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Knowledge Distillation: Bad Models Can Be Good Role Models
Gal Kaplun · Eran Malach · Preetum Nakkiran · Shai Shalev-Shwartz
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Workshop
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Constructing Memory: Consolidation as Teacher-Student Training of a Generative Model
Eleanor Spens · Neil Burgess
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Poster
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Thu 14:00
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Training Spiking Neural Networks with Local Tandem Learning
Qu Yang · Jibin Wu · Malu Zhang · Yansong Chua · Xinchao Wang · Haizhou Li
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Poster
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Tue 9:00
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What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective
Huan Wang · Suhas Lohit · Michael Jones · Yun Fu
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Workshop
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RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training (Short Paper)
Zui Chen · Lei Cao · Samuel Madden
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Workshop
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Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
Jacob Eisenstein · Daniel Andor · Bernd Bohnet · Michael Collins · David Mimno
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Affinity Workshop
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FACTORS INFLUENCING POSTGRADUATE STUDENTS' ACADEMIC PERFORMANCE: MACHINE LEARNING APPROACH.
Ayodele Awokoya
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Workshop
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Teacher-generated pseudo human spatial-attention labels boost contrastive learning models
Yushi Yao · Chang Ye · Junfeng He · Gamaleldin Elsayed
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Workshop
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Sat 9:15
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A Lesson From a Student Community: To Each Their Role
Lizzie Lau · Valeriy Rotan · Ashwin Reddy · Michael Equi
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Poster
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Tue 14:00
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Teacher Forcing Recovers Reward Functions for Text Generation
Yongchang Hao · Yuxin Liu · Lili Mou
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Poster
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Thu 14:00
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On the difficulty of learning chaotic dynamics with RNNs
Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz
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