A survey on domain adaptation theory: learning bounds and theoretical guarantees

24 April 2020

Papers citing "A survey on domain adaptation theory: learning bounds and theoretical guarantees"

44 / 44 papers shown

Title
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation Jintao Guo Lei Qi Yinghuan Shi Yang Gao 38 2 0 08 Jan 2025
Transfer learning via Regularized Linear Discriminant Analysis Hongzhe Zhang Arnab Auddy Hongzhe Lee 40 0 0 05 Jan 2025
Proxy-informed Bayesian transfer learning with unknown sources Sabina J. Sloman Julien Martinelli Samuel Kaski 38 0 0 05 Nov 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang Yadi Cao Chris Russell Yanxin Shen Junyu Luo Ming Zhang Siyu Heng Zhiyuan Ning 51 1 0 13 Sep 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 51 2 0 22 Aug 2024
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment Théo Gnassounou Antoine Collas Rémi Flamary Karim Lounici Alexandre Gramfort 43 3 0 19 Jul 2024
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 87 0 0 16 Jul 2024
Efficient Discrepancy Testing for Learning with Distribution Shift Gautam Chandrasekaran Adam R. Klivans Vasilis Kontonis Konstantinos Stavropoulos Arsen Vasilyan 40 1 0 13 Jun 2024
Tolerant Algorithms for Learning with Arbitrary Covariate Shift Surbhi Goel Abhishek Shetty Konstantinos Stavropoulos Arsen Vasilyan OOD 34 2 0 04 Jun 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OT 46 1 0 18 Mar 2024
Towards Robust Graph Incremental Learning on Evolving Graphs Junwei Su Difan Zou Zijun Zhang Chuan Wu CLL OOD 48 18 0 20 Feb 2024
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets Dongik Shin Beomsu Kim Seungjun Baek MedIm 34 2 0 14 Aug 2023
Measuring the Robustness of NLP Models to Domain Shifts Nitay Calderon Naveh Porat Eyal Ben-David Alexander Chapanin Zorik Gekhman Nadav Oved Vitaly Shalumov Roi Reichart 27 7 0 31 May 2023
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks Jacob D. Abernethy Alekh Agarwal T. V. Marinov Manfred K. Warmuth 39 19 0 26 May 2023
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey Avijoy Chakma A. Faridee Indrajeet Ghosh Nirmalya Roy 38 4 0 07 Apr 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 23 1 0 15 Mar 2023
Interpretations of Domain Adaptations via Layer Variational Analysis Huan-Hsin Tseng Hsin-Yi Lin Kuo-Hsuan Hung Yu Tsao FAtt 38 4 0 03 Feb 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 51 49 0 30 Jan 2023
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 50 23 0 28 Dec 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation Ziqiao Wang Yongyi Mao 48 12 0 03 Oct 2022
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts Tommie Kerssies Mert Kilickaya Joaquin Vanschoren OOD TTA 41 7 0 18 Aug 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 56 9 0 12 Jul 2022
Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa H. Hino CLL OOD 22 10 0 23 Jun 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 29 4 0 18 Apr 2022
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition Kazuki Omi Jun Kimata Toru Tamaki 28 7 0 15 Apr 2022
Knowledge Distillation with the Reused Teacher Classifier Defang Chen Jianhan Mei Hailin Zhang C. Wang Yan Feng Chun-Yen Chen 36 167 0 26 Mar 2022
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization Sofien Dhouib S. Maghsudi 47 2 0 09 Mar 2022
Continual and Sliding Window Release for Private Empirical Risk Minimization Lauren Watson Abhirup Ghosh Benedek Rozemberczki Rik Sarkar 27 0 0 07 Mar 2022
A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation Md. Mohi Uddin Khan A. Shams Md. Mohsin Sarker Raihan 22 4 0 16 Feb 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao Huazhu Fu OOD 48 78 0 09 Dec 2021
Toward Real-World Voice Disorder Classification Heng-Cheng Kuo Yu-Peng Hsieh Huan-Hsin Tseng Chi-Te Wang Shih-Hau Fang Yu Tsao 32 1 0 05 Dec 2021
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint Alaa Bessadok Ahmed Nebli Mohamed Ali Mahjoub Gang Li Weili Lin Dinggang Shen I. Rekik 33 3 0 06 Oct 2021
On the inductive biases of deep domain adaptation Rodrigue Siry Louis Hémadou Loïc Simon F. Jurie 37 3 0 16 Sep 2021
Empirically Measuring Transfer Distance for System Design and Operation Tyler Cody Stephen C. Adams Peter A. Beling 27 12 0 02 Jul 2021
Ensembling Shift Detectors: an Extensive Empirical Evaluation Simona Maggio L. Dreyfus-Schmidt AI4TS 34 3 0 28 Jun 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 77 984 0 03 Mar 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 215 126 0 04 Jan 2021
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li Zhen Fang Feng Liu Jie Lu Bo Yuan Guangquan Zhang 30 55 0 30 Dec 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 39 39 0 29 Oct 2020
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 38 22 0 30 Jul 2020
Unsupervised Domain Adaptation in the Absence of Source Data Roshni Sahoo Divya Shanmugam John Guttag OOD 22 18 0 20 Jul 2020
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 793 0 19 Feb 2009
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 164 455 0 03 Dec 2007