Poster

Tue 9:00

Knowledge Distillation: Bad Models Can Be Good Role Models
Gal Kaplun · Eran Malach · Preetum Nakkiran · Shai Shalev-Shwartz

Poster

Thu 9:00

An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti · Stefano Mannelli · Andrew Saxe

Workshop

Constructing Memory: Consolidation as Teacher-Student Training of a Generative Model
Eleanor Spens · Neil Burgess

Poster

Thu 14:00

Training Spiking Neural Networks with Local Tandem Learning
Qu Yang · Jibin Wu · Malu Zhang · Yansong Chua · Xinchao Wang · Haizhou Li

Poster

Tue 9:00

What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective
Huan Wang · Suhas Lohit · Michael Jones · Yun Fu

Workshop

RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training (Short Paper)
Zui Chen · Lei Cao · Samuel Madden

Workshop

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

Affinity Workshop

FACTORS INFLUENCING POSTGRADUATE STUDENTS' ACADEMIC PERFORMANCE: MACHINE LEARNING APPROACH.
Ayodele Awokoya

Workshop

Teacher-generated pseudo human spatial-attention labels boost contrastive learning models
Yushi Yao · Chang Ye · Junfeng He · Gamaleldin Elsayed

Poster

Tue 14:00

Teacher Forcing Recovers Reward Functions for Text Generation
Yongchang Hao · Yuxin Liu · Lili Mou

Workshop

Sat 9:15

A Lesson From a Student Community: To Each Their Role
Lizzie Lau · Valeriy Rotan · Ashwin Reddy · Michael Equi

Poster

Thu 14:00

On the difficulty of learning chaotic dynamics with RNNs
Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz