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Measuring the Intrinsic Dimension of Objective Landscapes

Measuring the Intrinsic Dimension of Objective Landscapes

24 April 2018
Chunyuan Li
Heerad Farkhoor
Rosanne Liu
J. Yosinski
ArXivPDFHTML

Papers citing "Measuring the Intrinsic Dimension of Objective Landscapes"

50 / 106 papers shown
Title
Memory-Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
Memory-Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
Fei Wu
Jia Hu
Geyong Min
Shiqiang Wang
22
0
0
16 May 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Anh Tong
Thanh Nguyen-Tang
Dongeun Lee
Duc Nguyen
Toan M. Tran
David Hall
Cheongwoong Kang
Jaesik Choi
35
0
0
03 Mar 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
116
8
0
28 Jan 2025
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
Thomas Robert
M. Safaryan
Ionut-Vlad Modoranu
Dan Alistarh
ODL
36
2
0
21 Oct 2024
Collaborative and Efficient Personalization with Mixtures of Adaptors
Collaborative and Efficient Personalization with Mixtures of Adaptors
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
46
2
0
04 Oct 2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Jin Hwa Lee
Thomas Jiralerspong
Lei Yu
Yoshua Bengio
Emily Cheng
CoGe
87
1
0
02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
50
11
0
02 Oct 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang
Jian Liang
Ran He
Zilei Wang
Tieniu Tan
75
17
0
25 Jul 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
Lukas Mauch
Marzieh Edraki
Aaron Courville
OODD
CLL
VLM
57
3
0
03 Jul 2024
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
Rickard Brüel-Gabrielsson
Jiacheng Zhu
Onkar Bhardwaj
Leshem Choshen
Kristjan Greenewald
Mikhail Yurochkin
Justin Solomon
51
5
0
17 Jun 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna
Medhanie Irgau
David B. Lobell
Stefano Ermon
VLM
32
4
0
16 Jun 2024
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
Hanqing Wang
Zeguan Xiao
Shuo Wang
Guanhua Chen
Guanhua Chen
44
19
0
13 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
48
6
0
07 Jun 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning &
  Adaptation
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
37
14
0
06 Jun 2024
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
Albin Soutif--Cormerais
Simone Magistri
Joost van de Weijer
Andew D. Bagdanov
40
1
0
28 May 2024
Does SGD really happen in tiny subspaces?
Does SGD really happen in tiny subspaces?
Minhak Song
Kwangjun Ahn
Chulhee Yun
73
5
1
25 May 2024
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
Emily Cheng
Diego Doimo
Corentin Kervadec
Iuri Macocco
Jade Yu
Alessandro Laio
Marco Baroni
112
11
0
24 May 2024
Machine Unlearning via Null Space Calibration
Machine Unlearning via Null Space Calibration
Huiqiang Chen
Tianqing Zhu
Xin Yu
Wanlei Zhou
43
6
0
21 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
64
76
0
03 Apr 2024
Introducing Routing Functions to Vision-Language Parameter-Efficient
  Fine-Tuning with Low-Rank Bottlenecks
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
Tingyu Qu
Tinne Tuytelaars
Marie-Francine Moens
MoE
46
2
0
14 Mar 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Oleksandr Balabanov
Hampus Linander
UQCV
41
15
0
19 Feb 2024
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Weixi Song
Z. Li
Lefei Zhang
Hai Zhao
Bo Du
VLM
29
7
0
19 Dec 2023
Federated Full-Parameter Tuning of Billion-Sized Language Models with
  Communication Cost under 18 Kilobytes
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin
Daoyuan Chen
Bingchen Qian
Bolin Ding
Yaliang Li
Shuiguang Deng
FedML
45
32
0
11 Dec 2023
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance
Haichao Sha
Ruixuan Liu
Yi-xiao Liu
Hong Chen
52
1
0
06 Dec 2023
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
Damjan Kalajdzievski
ALM
33
80
0
28 Nov 2023
The Shape of Learning: Anisotropy and Intrinsic Dimensions in
  Transformer-Based Models
The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models
Anton Razzhigaev
Matvey Mikhalchuk
Elizaveta Goncharova
Ivan Oseledets
Denis Dimitrov
Andrey Kuznetsov
35
7
0
10 Nov 2023
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion
  Recognition
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition
Yige Xu
Zhiwei Zeng
Zhiqi Shen
VLM
35
3
0
23 Oct 2023
Bridging Information-Theoretic and Geometric Compression in Language
  Models
Bridging Information-Theoretic and Geometric Compression in Language Models
Emily Cheng
Corentin Kervadec
Marco Baroni
36
17
0
20 Oct 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization
Decomposed Prompt Tuning via Low-Rank Reparameterization
Yao Xiao
Lu Xu
Jiaxi Li
Wei Lu
Xiaoli Li
VLM
25
6
0
16 Oct 2023
NOLA: Compressing LoRA using Linear Combination of Random Basis
NOLA: Compressing LoRA using Linear Combination of Random Basis
Soroush Abbasi Koohpayegani
K. Navaneet
Parsa Nooralinejad
Soheil Kolouri
Hamed Pirsiavash
40
12
0
04 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control
AdaptNet: Policy Adaptation for Physics-Based Character Control
Pei Xu
Kaixiang Xie
Sheldon Andrews
P. Kry
Michael Neff
Morgan McGuire
Ioannis Karamouzas
Victor Zordan
TTA
44
17
0
30 Sep 2023
Prompting or Fine-tuning? A Comparative Study of Large Language Models
  for Taxonomy Construction
Prompting or Fine-tuning? A Comparative Study of Large Language Models for Taxonomy Construction
Boqi Chen
Fandi Yi
Dániel Varró
37
16
0
04 Sep 2023
Quantifying lottery tickets under label noise: accuracy, calibration,
  and complexity
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity
V. Arora
Daniele Irto
Sebastian Goldt
G. Sanguinetti
44
2
0
21 Jun 2023
Data Representations' Study of Latent Image Manifolds
Data Representations' Study of Latent Image Manifolds
Ilya Kaufman
Omri Azencot
14
7
0
31 May 2023
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private
  Tuning
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning
Umang Gupta
Aram Galstyan
Greg Ver Steeg
11
2
0
30 May 2023
Fine-Tuning Language Models with Just Forward Passes
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
43
180
0
27 May 2023
Probing the Purview of Neural Networks via Gradient Analysis
Probing the Purview of Neural Networks via Gradient Analysis
Jinsol Lee
Charles Lehman
Mohit Prabhushankar
Ghassan AlRegib
34
7
0
06 Apr 2023
Inversion dynamics of class manifolds in deep learning reveals tradeoffs
  underlying generalisation
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation
Simone Ciceri
Lorenzo Cassani
Matteo Osella
P. Rotondo
P. Pizzochero
M. Gherardi
41
7
0
09 Mar 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Zhen Wang
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Huan Sun
Yoon Kim
VLM
VPVLM
44
108
0
06 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
34
73
0
22 Feb 2023
A survey of deep learning optimizers -- first and second order methods
A survey of deep learning optimizers -- first and second order methods
Rohan Kashyap
ODL
37
6
0
28 Nov 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain
  Generalization
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
Sanae Lotfi
Marc Finzi
Sanyam Kapoor
Andres Potapczynski
Micah Goldblum
A. Wilson
BDL
MLT
AI4CE
29
54
0
24 Nov 2022
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic
  Dimension
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
Xin He
Jiangchao Yao
Yuxin Wang
Zhenheng Tang
Ka Chu Cheung
Simon See
Bo Han
Xiaowen Chu
21
9
0
23 Nov 2022
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of
  SGD via Training Trajectories and via Terminal States
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang
Yongyi Mao
30
10
0
19 Nov 2022
Parameter-Efficient Tuning Makes a Good Classification Head
Parameter-Efficient Tuning Makes a Good Classification Head
Zhuoyi Yang
Ming Ding
Yanhui Guo
Qingsong Lv
Jie Tang
VLM
63
14
0
30 Oct 2022
Different Tunes Played with Equal Skill: Exploring a Unified
  Optimization Subspace for Delta Tuning
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning
Jing Yi
Weize Chen
Yujia Qin
Yankai Lin
Ning Ding
Xu Han
Zhiyuan Liu
Maosong Sun
Jie Zhou
20
2
0
24 Oct 2022
Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural
  Networks on Coupled Ordinary Differential Equations
Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural Networks on Coupled Ordinary Differential Equations
Alexander New
B. Eng
A. Timm
A. Gearhart
20
4
0
14 Oct 2022
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning
  Ticket's Mask?
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Mansheej Paul
F. Chen
Brett W. Larsen
Jonathan Frankle
Surya Ganguli
Gintare Karolina Dziugaite
UQCV
42
38
0
06 Oct 2022
Understanding Collapse in Non-Contrastive Siamese Representation
  Learning
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
55
33
0
29 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
172
151
0
20 Sep 2022
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