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2411.10634
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Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
15 November 2024
Kai Helli
David Schnurr
Noah Hollmann
Samuel G. Müller
Frank Hutter
OOD
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Papers citing
"Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data"
26 / 26 papers shown
Title
In-Context Adaptation to Concept Drift for Learned Database Operations
Jiaqi Zhu
Shaofeng Cai
Yanyan Shen
Gang Chen
Fang Deng
Beng Chin Ooi
VLM
162
0
0
07 May 2025
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
44
76
0
25 Nov 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Noah Hollmann
Samuel G. Müller
Katharina Eggensperger
Frank Hutter
82
305
0
05 Jul 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
Ronan Perry
Julius von Kügelgen
Bernhard Schölkopf
86
49
0
04 Jun 2022
Transformers Can Do Bayesian Inference
Samuel G. Müller
Noah Hollmann
Sebastian Pineda Arango
Josif Grabocka
Frank Hutter
BDL
UQCV
66
169
0
20 Dec 2021
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
98
683
0
05 Oct 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
A. Malinin
Neil Band
Ganshin
Alexander
German Chesnokov
...
Roginskiy
Denis
Mariya Shmatova
Panos Tigas
Boris Yangel
UQCV
OOD
75
131
0
15 Jul 2021
Revisiting Deep Learning Models for Tabular Data
Yu. V. Gorishniy
Ivan Rubachev
Valentin Khrulkov
Artem Babenko
LMTD
98
748
0
22 Jun 2021
Tabular Data: Deep Learning is Not All You Need
Ravid Shwartz-Ziv
Amitai Armon
LMTD
153
1,261
0
06 Jun 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
196
1,222
0
02 Mar 2021
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
76
1,137
0
02 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
215
4,070
0
17 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
339
18,721
0
13 Feb 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
85
1,236
0
20 Nov 2019
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi
Rishab Goel
Sepehr Eghbali
J. Ramanan
Jaspreet Sahota
Sanjay Thakur
Stella Wu
Cathal Smyth
Pascal Poupart
Marcus A. Brubaker
AI4TS
64
342
0
11 Jul 2019
Dataset shift quantification for credit card fraud detection
Y. Lucas
Pierre-Edouard Portier
Léa Laporte
Sylvie Calabretto
Liyun He-Guelton
Frédéric Oblé
Michael Granitzer
28
24
0
17 Jun 2019
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
188
1,453
0
02 Dec 2018
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
AI4CE
297
2,689
0
12 Sep 2018
Scikit-Multiflow: A Multi-output Streaming Framework
Jacob Montiel
Jesse Read
Albert Bifet
T. Abdessalem
33
308
0
12 Jul 2018
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,759
0
25 Oct 2017
Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian
Marco Piccirilli
Donald Adjeroh
Gianfranco Doretto
OOD
92
787
0
28 Sep 2017
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
337
7,498
0
02 Dec 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
97
3,151
0
06 Jul 2016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
735
38,858
0
09 Mar 2016
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
366
9,484
0
28 May 2015
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
124
1,179
0
10 Jan 2013
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