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A Model of Inductive Bias Learning

A Model of Inductive Bias Learning

1 June 2011
Jonathan Baxter
ArXivPDFHTML

Papers citing "A Model of Inductive Bias Learning"

14 / 14 papers shown
Title
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse
Frédéric Béchet
Benoit Favre
Géraldine Damnati
Gwénolé Lecorvé
Maxime Darrin
Philippe Formont
Pablo Piantanida
379
0
0
07 Mar 2025
Random Forest Autoencoders for Guided Representation Learning
Random Forest Autoencoders for Guided Representation Learning
Adrien Aumon
Shuang Ni
Myriam Lizotte
Guy Wolf
Kevin R. Moon
Jake S. Rhodes
96
0
0
18 Feb 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
146
9
0
17 Jan 2025
Prospective Learning: Learning for a Dynamic Future
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva
Rahul Ramesh
Rubing Yang
Siyu Yu
Joshua T. Vogelstein
Pratik Chaudhari
AI4TS
120
0
0
31 Oct 2024
Restructuring Vector Quantization with the Rotation Trick
Restructuring Vector Quantization with the Rotation Trick
Christopher Fifty
Ronald G. Junkins
Dennis Duan
Aniketh Iger
Jerry W. Liu
Ehsan Amid
Sebastian Thrun
Christopher Ré
LLMSV
72
12
0
08 Oct 2024
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
Jun Yuan
Guohao Cai
Zhenhua Dong
98
0
0
08 Oct 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori
Stefano Sarao Mannelli
Francesca Mignacco
94
3
0
26 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLL
LRM
177
2
0
29 Aug 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
Ruitao Chen
Liwei Wang
91
1
0
18 May 2024
Associative Transformer
Associative Transformer
Yuwei Sun
H. Ochiai
Zhirong Wu
Stephen Lin
Ryota Kanai
ViT
86
0
0
22 Sep 2023
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Fan Yang
Hongyang R. Zhang
Sen Wu
Christopher Ré
Weijie J. Su
72
11
0
22 Oct 2020
Maximum Roaming Multi-Task Learning
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
101
31
0
17 Jun 2020
The Canonical Distortion Measure for Vector Quantization and Function
  Approximation
The Canonical Distortion Measure for Vector Quantization and Function Approximation
Jonathan Baxter
21
22
0
14 Nov 2019
Learning Internal Representations (COLT 1995)
Learning Internal Representations (COLT 1995)
Jonathan Baxter
SSL
AI4CE
69
400
0
13 Nov 2019
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