Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2011.03037
Cited By
Teaching with Commentaries
5 November 2020
Aniruddh Raghu
M. Raghu
Simon Kornblith
David Duvenaud
Geoffrey E. Hinton
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Teaching with Commentaries"
19 / 19 papers shown
Title
Curriculum Learning with Adam: The Devil Is in the Wrong Details
Leon Weber
Jaap Jumelet
Paul Michel
Elia Bruni
Dieuwke Hupkes
ODL
18
3
0
23 Aug 2023
Auxiliary Learning as an Asymmetric Bargaining Game
Aviv Shamsian
Aviv Navon
Neta Glazer
Kenji Kawaguchi
Gal Chechik
Ethan Fetaya
35
8
0
31 Jan 2023
On Implicit Bias in Overparameterized Bilevel Optimization
Paul Vicol
Jon Lorraine
Fabian Pedregosa
David Duvenaud
Roger C. Grosse
AI4CE
33
37
0
28 Dec 2022
The Forward-Forward Algorithm: Some Preliminary Investigations
Geoffrey E. Hinton
25
258
0
27 Dec 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
31
47
0
13 Oct 2022
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models
Jared Lichtarge
Chris Alberti
Shankar Kumar
37
4
0
10 Sep 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer
A. S. Rawat
Seungyeon Kim
Chong You
Himanshu Jain
Andreas Veit
Rob Fergus
Surinder Kumar
VLM
18
2
0
14 Aug 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng
Olga Russakovsky
FedML
DD
41
92
0
06 Jun 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching
Patrick Fernandes
Marcos Vinícius Treviso
Danish Pruthi
André F. T. Martins
Graham Neubig
FAtt
25
22
0
22 Apr 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning
D. Sivasubramanian
Ayush Maheshwari
Pradeep Shenoy
A. Prathosh
Ganesh Ramakrishnan
29
5
0
07 Feb 2022
When less is more: Simplifying inputs aids neural network understanding
R. Schirrmeister
Rosanne Liu
Sara Hooker
T. Ball
24
5
0
14 Jan 2022
Lyapunov Exponents for Diversity in Differentiable Games
Jonathan Lorraine
Paul Vicol
Jack Parker-Holder
Tal Kachman
Luke Metz
Jakob N. Foerster
25
7
0
24 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities
Ferran Alet
Dylan D. Doblar
Allan Zhou
J. Tenenbaum
Kenji Kawaguchi
Chelsea Finn
73
26
0
06 Dec 2021
Meta-Learning to Improve Pre-Training
Aniruddh Raghu
Jonathan Lorraine
Simon Kornblith
Matthew B. A. McDermott
David Duvenaud
19
30
0
02 Nov 2021
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search
Dylan R. Ashley
Anssi Kanervisto
Brendan Bennett
19
2
0
01 Apr 2021
Complex Momentum for Optimization in Games
Jonathan Lorraine
David Acuna
Paul Vicol
David Duvenaud
17
9
0
16 Feb 2021
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
656
0
23 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
183
639
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
344
11,684
0
09 Mar 2017
1