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Deep Hashing Network for Unsupervised Domain Adaptation

Deep Hashing Network for Unsupervised Domain Adaptation

22 June 2017
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
    OOD
ArXiv (abs)PDFHTML

Papers citing "Deep Hashing Network for Unsupervised Domain Adaptation"

50 / 1,215 papers shown
Can Modifying Data Address Graph Domain Adaptation?
Can Modifying Data Address Graph Domain Adaptation?Knowledge Discovery and Data Mining (KDD), 2024
Renhong Huang
Jiarong Xu
Xin Jiang
Ruichuan An
Yang Yang
OOD
317
9
0
27 Jul 2024
Learn from the Learnt: Source-Free Active Domain Adaptation via
  Contrastive Sampling and Visual Persistence
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence
Mengyao Lyu
Tianxiang Hao
Xinhao Xu
Hui Chen
Zijia Lin
Jungong Han
Guiguang Ding
VLMTTA
236
10
0
26 Jul 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature
  Shift
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
Gina Wong
Joshua Gleason
Ramalingam Chellappa
Yoav Wald
Anqi Liu
OOD
393
1
0
25 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
518
4
0
25 Jul 2024
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction
  with Neural Collapse Principles
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles
Zicheng Pan
Xiaohan Yu
Yongsheng Gao
277
0
0
23 Jul 2024
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
327
4
0
22 Jul 2024
Rethinking Domain Adaptation and Generalization in the Era of CLIP
Rethinking Domain Adaptation and Generalization in the Era of CLIP
Ruoyu Feng
Tao Yu
Xin Jin
Xiaoyuan Yu
Lei Xiao
Zhibo Chen
VLM
267
6
0
21 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with
  Orthogonal Regularization for Domain Generalization
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
Jiajun Hu
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
220
12
0
21 Jul 2024
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain
  Adaptation using a Gaussian Mixture Model
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
Pascal Schlachter
Simon Wagner
Bin Yang
TTA
308
4
0
19 Jul 2024
Contrastive Adversarial Training for Unsupervised Domain Adaptation
Contrastive Adversarial Training for Unsupervised Domain Adaptation
Jiahong Chen
Zhilin Zhang
Lucy Li
Behzad Shahrasbi
Arjun Mishra
205
2
0
17 Jul 2024
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain
  Adaptation
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
Eduardo Fernandes Montesuma
F. E. Castellon
Fred-Maurice Ngole-Mboula
Aurélien Mayoue
Antoine Souloumiac
Cédric Gouy-Pailler
239
1
0
16 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Yanis Lalou
Théo Gnassounou
Antoine Collas
Antoine de Mathelin
Oleksii Kachaiev
Ambroise Odonnat
Alexandre Gramfort
Thomas Moreau
Rémi Flamary
542
1
0
16 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for
  Generalization to Unseen Clients
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
Mengmeng Ma
Tang Li
Xi Peng
251
7
0
06 Jul 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional
  Diffusion Models for Domain Generalization
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Moslem Yazdanpanah
Ismail Ben Ayed
Christian Desrosiers
343
5
0
04 Jul 2024
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
Jinjing Zhu
Yucheng Chen
Lin Wang
VLM
217
6
0
01 Jul 2024
Zero-shot domain adaptation based on dual-level mix and contrast
Zero-shot domain adaptation based on dual-level mix and contrast
Yu Zhe
Jun Sakuma
VLM
281
1
0
27 Jun 2024
Exclusive Style Removal for Cross Domain Novel Class Discovery
Exclusive Style Removal for Cross Domain Novel Class Discovery
Yicheng Wang
Yifan Zhang
Junmin Liu
Kai Sun
434
3
0
26 Jun 2024
Geometric Understanding of Discriminability and Transferability for
  Visual Domain Adaptation
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Xiao-Lin Xu
Qingshan Liu
208
5
0
24 Jun 2024
When Invariant Representation Learning Meets Label Shift: Insufficiency
  and Theoretical Insights
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
You-Wei Luo
Chuan-Xian Ren
OOD
193
6
0
24 Jun 2024
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain
  Adaptation Approach
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
Mengcheng Lan
Min Meng
Jun-chen Yu
Jigang Wu
CLL
296
4
0
20 Jun 2024
WATT: Weight Average Test-Time Adaptation of CLIP
WATT: Weight Average Test-Time Adaptation of CLIP
David Osowiechi
Mehrdad Noori
G. A. V. Hakim
Moslem Yazdanpanah
Ali Bahri
Milad Cheraghalikhani
Sahar Dastani
Farzad Beizaee
Ismail Ben Ayed
Christian Desrosiers
VLM
237
24
0
19 Jun 2024
Revisiting Spurious Correlation in Domain Generalization
Revisiting Spurious Correlation in Domain Generalization
Bin Qin
Jiangmeng Li
Yi Li
Xuesong Wu
Yupeng Wang
Jingyao Wang
Jianwen Cao
CML
300
1
0
17 Jun 2024
Cross-domain Open-world Discovery
Cross-domain Open-world Discovery
Shuo Wen
Maria Brbic
OOD
292
7
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
673
14
0
16 Jun 2024
How Does Distribution Matching Help Domain Generalization: An
  Information-theoretic Analysis
How Does Distribution Matching Help Domain Generalization: An Information-theoretic AnalysisIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
226
2
0
14 Jun 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank
  Adapters
Exploring Training on Heterogeneous Data with Mixture of Low-rank AdaptersInternational Conference on Machine Learning (ICML), 2024
Yuhang Zhou
Zihua Zhao
Haolin Li
Siyuan Du
Jiangchao Yao
Ya Zhang
Yanfeng Wang
MoMeMoE
277
8
0
14 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
570
8
0
13 Jun 2024
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time
  Adaptation
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
Yunbei Zhang
Akshay Mehra
Jihun Hamm
VLM
302
12
0
12 Jun 2024
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian
  Sampling Approach
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach
Challapalli Phanindra Revanth
Sumohana S. Channappayya
C Krishna Mohan
197
23
0
11 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain
  Generalization
Causality-inspired Latent Feature Augmentation for Single Domain Generalization
Jian Xu
Chaojie Ji
Yankai Cao
Ye Li
Ruxin Wang
OOD
327
1
0
10 Jun 2024
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Zongbin Wang
Bin Pan
Shiyu Shen
Tianyang Shi
Zhenwei Shi
AI4CE
293
1
0
09 Jun 2024
Domain Agnostic Conditional Invariant Predictions for Domain
  Generalization
Domain Agnostic Conditional Invariant Predictions for Domain Generalization
Zongbin Wang
Bin Pan
Zhenwei Shi
OOD
216
0
0
09 Jun 2024
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label
  Encoding Perspective
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective
Yulong Zhang
Yuan Yao
Shuhao Chen
Pengrong Jin
Yu Zhang
Jian Jin
Jiangang Lu
181
3
0
05 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation
Proxy Denoising for Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
Xiatian Zhu
395
11
0
03 Jun 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature
  Adaptation
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Jiachen Liang
Ruibing Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
284
6
0
31 May 2024
Domain Adaptation with Cauchy-Schwarz Divergence
Domain Adaptation with Cauchy-Schwarz Divergence
Wenzhe Yin
Shujian Yu
Yicong Lin
Jie Li
Jan-Jakob Sonke
E. Gavves
245
7
0
30 May 2024
Domain adaptation in small-scale and heterogeneous biological datasets
Domain adaptation in small-scale and heterogeneous biological datasets
Seyedmehdi Orouji
Martin C. Liu
T. Korem
Megan A. K. Peters
190
25
0
29 May 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under
  Distribution Shifts
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
Weijian Deng
Jianfeng Zhang
Bo An
353
3
0
29 May 2024
Locally Estimated Global Perturbations are Better than Local
  Perturbations for Federated Sharpness-aware Minimization
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan
Shengchao Hu
Jiangchao Yao
Gang Niu
Ya Zhang
Masashi Sugiyama
Yanfeng Wang
FedML
285
30
0
29 May 2024
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang
Ziqing Fan
Jiangchao Yao
Ya Zhang
Yanfeng Wang
262
9
0
29 May 2024
WIDIn: Wording Image for Domain-Invariant Representation in
  Single-Source Domain Generalization
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
Jiawei Ma
Yulei Niu
Shiyuan Huang
G. Han
Shih-Fu Chang
VLM
172
1
0
28 May 2024
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain
  Adaptation
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation
Shanshan Wang
Hao Zhou
Xun Yang
Zhenwei He
Meng Wang
Xingyi Zhang
Meng Wang
286
0
0
28 May 2024
Harnessing the Power of Vicinity-Informed Analysis for Classification
  under Covariate Shift
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
Mitsuhiro Fujikawa
Yohei Akimoto
Jun Sakuma
Kazuto Fukuchi
190
0
0
27 May 2024
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Yawen Zou
Chunzhi Gu
Junzhou Yu
Shangce Gao
Chao Zhang
269
3
0
26 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Farhad Pourpanah
Mahdiyar Molahasani
Milad Soltany
Michael A. Greenspan
Ali Etemad
FedMLOOD
817
5
0
25 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift
  Measures and Synthetic Scene Images
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
Yiran Luo
Joshua Forster Feinglass
Tejas Gokhale
Kuan-Cheng Lee
Chitta Baral
Yezhou Yang
187
4
0
24 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Changwen Zheng
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Jingyao Wang
CMLBDLVLM
439
1
0
24 May 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer ModelsInternational Conference on Learning Representations (ICLR), 2024
Yongxin Guo
Zhenglin Cheng
Xiaoying Tang
Tao Lin
Tao Lin
MoE
525
32
0
23 May 2024
Adapting Large Multimodal Models to Distribution Shifts: The Role of
  In-Context Learning
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning
Guanglin Zhou
Zhongyi Han
Shiming Chen
Erdun Gao
Liming Zhu
Salman Khan
Xin Gao
Lina Yao
VLM
252
7
0
20 May 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain
  Shift
Optimal Aggregation of Prediction Intervals under Unsupervised Domain ShiftNeural Information Processing Systems (NeurIPS), 2024
Jiawei Ge
Debarghya Mukherjee
Jianqing Fan
257
4
0
16 May 2024
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