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Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling

25 February 2021
Gregory W. Benton
Wesley J. Maddox
Sanae Lotfi
A. Wilson
    UQCV
ArXivPDFHTML

Papers citing "Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling"

20 / 20 papers shown
Title
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting
Linqi Yang
Xiongwei Zhao
Qihao Sun
Ke Wang
Ao Chen
Peng Kang
3DGS
80
0
0
07 Mar 2025
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Bowen Liu
Haoyang Li
Shuning Wang
Shuo Nie
Shanghang Zhang
OODD
CML
71
0
0
29 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OOD
MQ
28
1
0
08 Oct 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Achref Jaziri
Etienne Kunzel
Visvanathan Ramesh
CLL
50
0
0
19 Aug 2024
Towards Scalable and Versatile Weight Space Learning
Towards Scalable and Versatile Weight Space Learning
Konstantin Schurholt
Michael W. Mahoney
Damian Borth
45
15
0
14 Jun 2024
Federated Learning over Connected Modes
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
45
0
0
05 Mar 2024
Sparsified Model Zoo Twins: Investigating Populations of Sparsified
  Neural Network Models
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models
D. Honegger
Konstantin Schurholt
Damian Borth
31
4
0
26 Apr 2023
Knowledge is a Region in Weight Space for Fine-tuned Language Models
Knowledge is a Region in Weight Space for Fine-tuned Language Models
Almog Gueta
Elad Venezian
Colin Raffel
Noam Slonim
Yoav Katz
Leshem Choshen
28
49
0
09 Feb 2023
Editing Models with Task Arithmetic
Editing Models with Task Arithmetic
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
KELM
MoMe
MU
48
428
0
08 Dec 2022
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Shachar Don-Yehiya
Elad Venezian
Colin Raffel
Noam Slonim
Yoav Katz
Leshem Choshen
MoMe
28
52
0
02 Dec 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Page-Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
29
29
0
18 Nov 2022
Symmetries, flat minima, and the conserved quantities of gradient flow
Symmetries, flat minima, and the conserved quantities of gradient flow
Bo-Lu Zhao
I. Ganev
Robin G. Walters
Rose Yu
Nima Dehmamy
47
16
0
31 Oct 2022
lo-fi: distributed fine-tuning without communication
lo-fi: distributed fine-tuning without communication
Mitchell Wortsman
Suchin Gururangan
Shen Li
Ali Farhadi
Ludwig Schmidt
Michael G. Rabbat
Ari S. Morcos
27
24
0
19 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
252
314
0
11 Sep 2022
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
237
45
0
24 May 2022
SAE: Sequential Anchored Ensembles
SAE: Sequential Anchored Ensembles
Arnaud Delaunoy
Gilles Louppe
UQCV
BDL
11
0
0
30 Dec 2021
Connecting Low-Loss Subspace for Personalized Federated Learning
Connecting Low-Loss Subspace for Personalized Federated Learning
S. Hahn
Minwoo Jeong
Junghye Lee
FedML
19
18
0
16 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,889
0
15 Sep 2016
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
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