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A Closer Look at Smoothness in Domain Adversarial Training

A Closer Look at Smoothness in Domain Adversarial Training

16 June 2022
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
Arihant Jain
R. Venkatesh Babu
ArXivPDFHTML

Papers citing "A Closer Look at Smoothness in Domain Adversarial Training"

14 / 14 papers shown
Title
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Minhee Cho
Hyesong Choi
Hayeon Jo
Dongbo Min
27
1
0
04 Sep 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 Jun 2024
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for
  Enhanced Domain Transfer in Graph-Structured Data
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data
Mengxi Wu
Mohammad Rostami
AI4CE
21
3
0
29 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
R. Venkatesh Babu
31
28
0
28 Dec 2022
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain
  Adaptation
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation
Hao Yan
Yuhong Guo
8
4
0
15 Dec 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation
Subsidiary Prototype Alignment for Universal Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
37
21
0
28 Oct 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative
  Inference
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan
Lan Zhang
Zimu Zheng
Yi-Nan Zhang
Xiang-Yang Li
25
2
0
28 Sep 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
21
89
0
16 Jun 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Kaibin Tian
Qijie Wei
Xirong Li
29
1
0
04 Apr 2022
Domain Adaptation via Prompt Learning
Domain Adaptation via Prompt Learning
Chunjiang Ge
Rui Huang
Mixue Xie
Zihang Lai
Shiji Song
Shuang Li
Gao Huang
VPVLM
VLM
36
143
0
14 Feb 2022
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
36
14
0
11 Nov 2021
S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active
  Domain Adaptation
S3^33VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Harsh Rangwani
Arihant Jain
Sumukh K Aithal
R. Venkatesh Babu
TTA
39
29
0
18 Sep 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
423
0
17 Feb 2021
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
299
2,890
0
15 Sep 2016
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