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Frustratingly Easy Domain Adaptation

Frustratingly Easy Domain Adaptation

Annual Meeting of the Association for Computational Linguistics (ACL), 2007
10 July 2009
Hal Daumé
ArXiv (abs)PDFHTML

Papers citing "Frustratingly Easy Domain Adaptation"

50 / 391 papers shown
Social Media for Mental Health: Data, Methods, and Findings
Social Media for Mental Health: Data, Methods, and FindingsLecture Notes in Social Networks (LNSN), 2025
Nur Shazwani Kamarudin
Ghazaleh Beigi
Lydia Manikonda
Huan Liu
AI4MH
467
9
0
11 Nov 2025
Adaptive Sample Sharing for Linear Regression
Adaptive Sample Sharing for Linear Regression
Hamza Cherkaoui
Hélène Halconruy
Yohan Petetin
179
0
0
19 Oct 2025
To Ask or Not to Ask: Learning to Require Human Feedback
To Ask or Not to Ask: Learning to Require Human Feedback
Andrea Pugnana
Giovanni De Toni
Cesare Barbera
Roberto Pellungrini
Bruno Lepri
Andrea Passerini
153
0
0
09 Oct 2025
Named Entity Recognition in COVID-19 tweets with Entity Knowledge Augmentation
Named Entity Recognition in COVID-19 tweets with Entity Knowledge Augmentation
Xuankang Zhang
Jiangming Liu
211
0
0
05 Oct 2025
UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction
UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction
Joe Wilder
Nikhil Kadapala
Benji Xu
Mohammed Alsaadi
Aiden Parsons
Mitchell Rogers
Palash Agarwal
Adam Hassick
Laura Dietz
93
0
0
08 Sep 2025
Formal Bayesian Transfer Learning via the Total Risk Prior
Formal Bayesian Transfer Learning via the Total Risk Prior
Nathan Wycoff
Ali Arab
Lisa O. Singh
136
1
0
31 Jul 2025
Low-resource domain adaptation while minimizing energy and hardware resource consumption
Hernán Maina
Nicolás Wolovick
Luciana Benotti
213
0
0
10 Jun 2025
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
Chamika Sudusinghe
Gerasimos Gerogiannis Damitha Lenadora
Damitha Sandeepa Lenadora
Charles Block
Josep Torrellas
Charith Mendis
361
1
0
31 May 2025
From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching
From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual MatchingMachine-mediated learning (ML), 2025
Ruqi Bai
Yao Ji
Zeyu Zhou
David I. Inouye
OOD
548
1
0
30 May 2025
Multi-Domain Explainability of Preferences
Multi-Domain Explainability of Preferences
Nitay Calderon
Liat Ein-Dor
Roi Reichart
LRM
410
0
0
26 May 2025
Multi-modal cascade feature transfer for polymer property prediction
Multi-modal cascade feature transfer for polymer property prediction
Kiichi Obuchi
Yuta Yahagi
Kiyohiko Toyama
Shukichi Tanaka
Kota Matsui
500
0
0
06 May 2025
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2025
Wenke E
Chao Yuan
Li Li
Yixin Sun
Yona Falinie A. Gaus
Amir Atapour-Abarghouei
T. Breckon
399
4
0
02 Mar 2025
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Low Tensor-Rank Adaptation of Kolmogorov--Arnold NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2025
Yihang Gao
Michael K. Ng
Vincent Y. F. Tan
524
2
0
17 Feb 2025
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryBrain Informatics (BI), 2024
Alexander Olza
David Soto
Roberto Santana
403
0
0
28 Jan 2025
FlexPose: Pose Distribution Adaptation with Limited Guidance
FlexPose: Pose Distribution Adaptation with Limited GuidanceAAAI Conference on Artificial Intelligence (AAAI), 2024
Zixiao Wang
Junwu Weng
Mengyuan Liu
Bei Yu
3DH
294
0
0
18 Dec 2024
The Evolution and Future Perspectives of Artificial Intelligence Generated Content
The Evolution and Future Perspectives of Artificial Intelligence Generated Content
Chengzhang Zhu
Luobin Cui
Ying Tang
Jiacun Wang
468
4
0
02 Dec 2024
Prospective Learning: Learning for a Dynamic Future
Prospective Learning: Learning for a Dynamic FutureNeural Information Processing Systems (NeurIPS), 2024
Ashwin De Silva
Rahul Ramesh
Rubing Yang
Siyu Yu
Joshua T. Vogelstein
Pratik Chaudhari
AI4TS
676
5
0
31 Oct 2024
Regularized Multi-output Gaussian Convolution Process with Domain
  Adaptation
Regularized Multi-output Gaussian Convolution Process with Domain AdaptationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Wang Xinming
Wang Chao
Song Xuan
Kirby Levi
Wu Jianguo
225
9
0
04 Sep 2024
Large Investment Model
Large Investment Model
Jian Guo
H. Shum
AIFin
462
1
0
12 Aug 2024
The Sociolinguistic Foundations of Language Modeling
The Sociolinguistic Foundations of Language Modeling
Jack Grieve
Sara Bartl
Matteo Fuoli
Jason Grafmiller
Weihang Huang
A. Jawerbaum
Akira Murakami
Marcus Perlman
Dana Roemling
Bodo Winter
410
29
0
12 Jul 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Yuncheng Hua
Yujin Huang
Shuo Huang
Tao Feng
Zhuang Li
Chris Bain
R. Bassed
Gholamreza Haffari
CMLOOD
431
6
0
18 Jun 2024
Transfer Learning for Latent Variable Network Models
Transfer Learning for Latent Variable Network Models
Akhil Jalan
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
460
3
0
05 Jun 2024
Would I Lie To You? Inference Time Alignment of Language Models using
  Direct Preference Heads
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
Avelina Asada Hadji-Kyriacou
Ognjen Arandjelović
223
3
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
213
36
0
29 May 2024
Automatic Domain Adaptation by Transformers in In-Context Learning
Automatic Domain Adaptation by Transformers in In-Context Learning
Ryuichiro Hataya
Kota Matsui
Masaaki Imaizumi
286
6
0
27 May 2024
Adapting Pretrained Networks for Image Quality Assessment on High
  Dynamic Range Displays
Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range Displays
Andrei Chubarau
Hyunjin Yoo
Tara Akhavan
James Clark
231
1
0
01 May 2024
Low-Resource Named Entity Recognition with Cross-Lingual,
  Character-Level Neural Conditional Random Fields
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields
Robert Bamler
Kevin Duh
194
59
0
14 Apr 2024
Spatial Transfer Learning for Estimating PM2.5 in Data-poor Regions
Spatial Transfer Learning for Estimating PM2.5 in Data-poor Regions
Shrey Gupta
Yongbee Park
Jianzhao Bi
Suyash Gupta
Andreas Züfle
Avani Wildani
Yang Liu
184
5
0
10 Apr 2024
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery
Sai Bhargav Rongali
Sarthak Mehrotra
Ankit Jha
C. MohamadHassanN
Shirsha Bose
Tanisha Gupta
Mainak Singha
Biplab Banerjee
368
11
0
08 Apr 2024
Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case
  Summarization
Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization
Santosh T.Y.S.S
Vatsal Venkatkrishna
Saptarshi Ghosh
Matthias Grabmair
ELM
289
9
0
28 Mar 2024
Towards Understanding Dual BN In Hybrid Adversarial Training
Towards Understanding Dual BN In Hybrid Adversarial Training
Chenshuang Zhang
Chaoning Zhang
Kang Zhang
Axi Niu
Junmo Kim
In So Kweon
AAML
235
1
0
28 Mar 2024
Generalizable and Stable Finetuning of Pretrained Language Models on
  Low-Resource Texts
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
Sai Ashish Somayajula
Youwei Liang
Abhishek Singh
Li Zhang
Pengtao Xie
301
4
0
19 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior
  Sampling
Enhancing Transfer Learning with Flexible Nonparametric Posterior SamplingInternational Conference on Learning Representations (ICLR), 2024
Hyungi Lee
G. Nam
Edwin Fong
Juho Lee
BDL
249
7
0
12 Mar 2024
Bridging Domains with Approximately Shared Features
Bridging Domains with Approximately Shared FeaturesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ziliang Samuel Zhong
Xiang Pan
Qi Lei
OOD
338
2
0
11 Mar 2024
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax
  Analysis and Adaptive Procedure
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure
T. T. Cai
Hongming Pu
277
32
0
22 Jan 2024
Dynamic Corrective Self-Distillation for Better Fine-Tuning of
  Pretrained Models
Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models
Ibtihel Amara
Vinija Jain
Vasu Sharma
211
0
0
12 Dec 2023
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a
  Novel Probabilistic Transfer Learning Strategy
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy
Wyatt Bridgman
Uma Balakrishnan
Reese E. Jones
Jiefu Chen
Xuqing Wu
Cosmin Safta
Yueqin Huang
Mohammad Khalil
194
1
0
07 Dec 2023
On the Potential and Limitations of Few-Shot In-Context Learning to
  Generate Metamorphic Specifications for Tax Preparation Software
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
Dananjay Srinivas
Rohan Das
Saeid Tizpaz-Niari
Ashutosh Trivedi
Maria Leonor Pacheco
249
7
0
20 Nov 2023
Subspace Adaptation Prior for Few-Shot Learning
Subspace Adaptation Prior for Few-Shot LearningMachine-mediated learning (ML), 2023
Mike Huisman
Aske Plaat
Jan N. van Rijn
VLM
258
4
0
13 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Yongfeng Zhang
Qiang Yang
Zhi-Hong Mao
Ye Ye
399
11
0
12 Oct 2023
Transfer learning for piecewise-constant mean estimation: Optimality,
  $\ell_1$- and $\ell_0$-penalisation
Transfer learning for piecewise-constant mean estimation: Optimality, ℓ1\ell_1ℓ1​- and ℓ0\ell_0ℓ0​-penalisation
Fan Wang
Yi Yu
325
0
0
09 Oct 2023
Conditional Instrumental Variable Regression with Representation
  Learning for Causal Inference
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
T. Le
CML
332
14
0
03 Oct 2023
biquality-learn: a Python library for Biquality Learning
biquality-learn: a Python library for Biquality Learning
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
241
0
0
18 Aug 2023
Stable and Causal Inference for Discriminative Self-supervised Deep
  Visual Representations
Stable and Causal Inference for Discriminative Self-supervised Deep Visual RepresentationsIEEE International Conference on Computer Vision (ICCV), 2023
Yuewei Yang
Hai Helen Li
Yiran Chen
CMLOOD
302
3
0
16 Aug 2023
Auditing and Robustifying COVID-19 Misinformation Datasets via
  Anticontent Sampling
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent SamplingAAAI Conference on Artificial Intelligence (AAAI), 2023
Clay H. Yoo
Ashiqur R. KhudaBukhsh
292
6
0
05 Aug 2023
Transfer Learning with Random Coefficient Ridge Regression
Transfer Learning with Random Coefficient Ridge Regression
Hongzhe Zhang
Hongzhe Li
181
2
0
28 Jun 2023
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net
  Estimation and Optimization
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Shoujie Tong
Heming Xia
Damai Dai
Runxin Xu
Tianyu Liu
Binghuai Lin
Yunbo Cao
Zhifang Sui
273
0
0
24 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Yongfeng Zhang
Jennifer Foster
Yue Zhang
OOD
351
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23 May 2023
Best-Effort Adaptation
Best-Effort AdaptationAnnals of Mathematics and Artificial Intelligence (AMAI), 2023
Pranjal Awasthi
Corinna Cortes
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Towards Weakly-Supervised Hate Speech Classification Across Datasets
Towards Weakly-Supervised Hate Speech Classification Across Datasets
Yiping Jin
Leo Wanner
Vishakha Kadam
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