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Learning by Transduction

Learning by Transduction

30 January 2013
A. Gammerman
V. Vovk
V. Vapnik
ArXiv (abs)PDFHTML

Papers citing "Learning by Transduction"

50 / 129 papers shown
Title
Full Conformal Adaptation of Medical Vision-Language Models
Full Conformal Adaptation of Medical Vision-Language Models
Julio Silva-Rodríguez
Leo Fillioux
P. Cournède
Maria Vakalopoulou
Stergios Christodoulidis
Ismail Ben Ayed
Jose Dolz
VLM
68
0
0
06 Jun 2025
Conformal Prediction for Zero-Shot Models
Conformal Prediction for Zero-Shot Models
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
VLM
48
0
0
30 May 2025
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
Eshant English
Christoph Lippert
48
0
0
29 May 2025
Test-time augmentation improves efficiency in conformal prediction
Test-time augmentation improves efficiency in conformal prediction
Divya Shanmugam
H. Lu
Swami Sankaranarayanan
John Guttag
237
0
0
28 May 2025
Individualised Counterfactual Examples Using Conformal Prediction Intervals
Individualised Counterfactual Examples Using Conformal Prediction Intervals
James M. Adams
Gesine Reinert
Lukasz Szpruch
Carsten Maple
Andrew Elliott
30
0
0
28 May 2025
Scalable and adaptive prediction bands with kernel sum-of-squares
Scalable and adaptive prediction bands with kernel sum-of-squares
Louis Allain
Sébastien Da Veiga
B. Staber
35
0
0
27 May 2025
Conformal Language Model Reasoning with Coherent Factuality
Conformal Language Model Reasoning with Coherent Factuality
Maxon Rubin-Toles
Maya Gambhir
Keshav Ramji
Aaron Roth
Surbhi Goel
HILMLRM
79
2
0
21 May 2025
A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations
A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations
Luca Menicali
Andrew Grace
David H. Richter
Stefano Castruccio
AI4CE
83
0
0
16 May 2025
Computing High-dimensional Confidence Sets for Arbitrary Distributions
Computing High-dimensional Confidence Sets for Arbitrary Distributions
Chao Gao
Liren Shan
Vaidehi Srinivas
Aravindan Vijayaraghavan
143
0
0
03 Apr 2025
AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection
AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection
Bohao Xing
Kaishen Yuan
Zitong Yu
Xianglong Liu
Heikki Kälviäinen
ViT
87
0
0
30 Mar 2025
Inductive randomness predictors: beyond conformal
Inductive randomness predictors: beyond conformal
Vladimir Vovk
88
0
0
04 Mar 2025
Volume Optimality in Conformal Prediction with Structured Prediction Sets
Volume Optimality in Conformal Prediction with Structured Prediction Sets
Chao Gao
Liren Shan
Vaidehi Srinivas
Aravindan Vijayaraghavan
115
1
0
23 Feb 2025
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
Chen Wang
Fangxin Wang
Ruocheng Guo
Yueqing Liang
Philip S. Yu
292
5
0
21 Feb 2025
Language Models Can Predict Their Own Behavior
Language Models Can Predict Their Own Behavior
Dhananjay Ashok
Jonathan May
ReLMAI4TSLRM
118
2
0
18 Feb 2025
Multivariate Conformal Prediction using Optimal Transport
Multivariate Conformal Prediction using Optimal Transport
Michal Klein
Louis Béthune
Eugène Ndiaye
Marco Cuturi
OT
223
3
0
05 Feb 2025
Safe Decentralized Multi-Agent Control using Black-Box Predictors, Conformal Decision Policies, and Control Barrier Functions
Safe Decentralized Multi-Agent Control using Black-Box Predictors, Conformal Decision Policies, and Control Barrier Functions
Sacha Huriot
Hussein Sibai
90
1
0
27 Sep 2024
Future-Proofing Medical Imaging with Privacy-Preserving Federated
  Learning and Uncertainty Quantification: A Review
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review
Nikolas Koutsoubis
Asim Waqas
Yasin Yilmaz
R. Ramachandran
M. Schabath
Ghulam Rasool
115
1
0
24 Sep 2024
Split Conformal Prediction under Data Contamination
Split Conformal Prediction under Data Contamination
Jase Clarkson
Wenkai Xu
Mihai Cucuringu
Gesine Reinert
136
3
0
10 Jul 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
145
113
0
05 Jul 2024
Calibrated Large Language Models for Binary Question Answering
Calibrated Large Language Models for Binary Question Answering
Patrizio Giovannotti
Alexander Gammerman
55
1
0
01 Jul 2024
LayerMatch: Do Pseudo-labels Benefit All Layers?
LayerMatch: Do Pseudo-labels Benefit All Layers?
Chaoqi Liang
Guanglei Yang
Lifeng Qiao
Zitong Huang
Hongliang Yan
Yunchao Wei
W. Zuo
90
0
0
20 Jun 2024
Privacy Preserving Federated Learning in Medical Imaging with
  Uncertainty Estimation
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
Nikolas Koutsoubis
Yasin Yilmaz
Ravi P. Ramachandran
M. Schabath
Ghulam Rasool
79
8
0
18 Jun 2024
Uncertainty quantification in metric spaces
Uncertainty quantification in metric spaces
Gábor Lugosi
Marcos Matabuena
139
5
0
08 May 2024
MoDE: CLIP Data Experts via Clustering
MoDE: CLIP Data Experts via Clustering
Jiawei Ma
Po-Yao Huang
Saining Xie
Shang-Wen Li
Luke Zettlemoyer
Shih-Fu Chang
Wen-tau Yih
Hu Xu
MoECLIPVLM
77
14
0
24 Apr 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
154
0
0
18 Mar 2024
Enhancing Information Maximization with Distance-Aware Contrastive
  Learning for Source-Free Cross-Domain Few-Shot Learning
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
Huali Xu
Li Liu
Shuaifeng Zhi
Shaojing Fu
Z. Su
Ming-Ming Cheng
Yongxiang Liu
96
12
0
04 Mar 2024
Deductive Closure Training of Language Models for Coherence, Accuracy,
  and Updatability
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
Afra Feyza Akyürek
Ekin Akyürek
Leshem Choshen
Derry Wijaya
Jacob Andreas
HILMSyDa
125
18
0
16 Jan 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Benjamin Eyre
Elliot Creager
David Madras
Antonio Torralba
Katherine Heller
OODOODD
67
1
0
29 Dec 2023
SymmPI: Predictive Inference for Data with Group Symmetries
SymmPI: Predictive Inference for Data with Group Symmetries
Yan Sun
Mengxin Yu
110
2
0
26 Dec 2023
Reliable Prediction Intervals with Regression Neural Networks
Reliable Prediction Intervals with Regression Neural Networks
Harris Papadopoulos
H. Haralambous
426
112
0
15 Dec 2023
Sequential inductive prediction intervals
Sequential inductive prediction intervals
B. Avelin
34
0
0
08 Dec 2023
Regenerating Arbitrary Video Sequences with Distillation Path-Finding
Regenerating Arbitrary Video Sequences with Distillation Path-Finding
T. Le
Sheng-Yi Yao
Chun-Te Wu
Tong-Yee Lee
87
1
0
13 Nov 2023
Guaranteed Coverage Prediction Intervals with Gaussian Process
  Regression
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression
Harris Papadopoulos
111
14
0
24 Oct 2023
Learning to (Learn at Test Time)
Learning to (Learn at Test Time)
Yu Sun
Xinhao Li
Karan Dalal
Chloe Hsu
Oluwasanmi Koyejo
Carlos Guestrin
Xiaolong Wang
Tatsunori Hashimoto
Xinlei Chen
SSL
83
8
0
20 Oct 2023
Non-Exchangeable Conformal Risk Control
Non-Exchangeable Conformal Risk Control
António Farinhas
Chrysoula Zerva
Dennis Ulmer
André F. T. Martins
199
10
0
02 Oct 2023
Approximating Score-based Explanation Techniques Using Conformal
  Regression
Approximating Score-based Explanation Techniques Using Conformal Regression
Amr Alkhatib
Henrik Bostrom
Sofiane Ennadir
Ulf Johansson
FAtt
38
4
0
23 Aug 2023
Resampled Confidence Regions with Exponential Shrinkage for the Regression Function of Binary Classification
Resampled Confidence Regions with Exponential Shrinkage for the Regression Function of Binary Classification
Ambrus Tamás
Balázs Csanád Csáji
UQCV
53
0
0
03 Aug 2023
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTAViT3DGS
149
21
0
11 Jul 2023
Neural Priming for Sample-Efficient Adaptation
Neural Priming for Sample-Efficient Adaptation
Matthew Wallingford
Vivek Ramanujan
Alex Fang
Aditya Kusupati
Roozbeh Mottaghi
Aniruddha Kembhavi
Ludwig Schmidt
Ali Farhadi
VLM
189
15
0
16 Jun 2023
On the Expected Size of Conformal Prediction Sets
On the Expected Size of Conformal Prediction Sets
Guneet Singh Dhillon
George Deligiannidis
Tom Rainforth
83
10
0
12 Jun 2023
Evaluating Machine Translation Quality with Conformal Predictive
  Distributions
Evaluating Machine Translation Quality with Conformal Predictive Distributions
Patrizio Giovannotti
UQLM
105
7
0
02 Jun 2023
Test-Time Training on Nearest Neighbors for Large Language Models
Test-Time Training on Nearest Neighbors for Large Language Models
Moritz Hardt
Yu Sun
VLMRALM
128
30
0
29 May 2023
Conformal Prediction with Large Language Models for Multi-Choice
  Question Answering
Conformal Prediction with Large Language Models for Multi-Choice Question Answering
Bhawesh Kumar
Cha-Chen Lu
Gauri Gupta
Anil Palepu
David R. Bellamy
Ramesh Raskar
Andrew L. Beam
97
77
0
28 May 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim
80
1
0
24 May 2023
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
Meijia Shao
Yuan Zhang
98
6
0
19 May 2023
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Kai Zhang
Pulkit Agrawal
100
16
0
27 Apr 2023
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video
  Representations for Semi-Supervised Action Recognition
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
I. Dave
Mamshad Nayeem Rizve
Chong Chen
M. Shah
TTA
97
18
0
28 Mar 2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose
  Estimation with Consistency Training
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training
Mohammad Rezaei
Farnaz Farahanipad
Alex Dillhoff
V. Athitsos
3DH
77
2
0
27 Mar 2023
Conformalized Semi-supervised Random Forest for Classification and
  Abnormality Detection
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
Yujin Han
Mingwenchan Xu
Leying Guan
33
3
0
04 Feb 2023
Learning Functional Transduction
Learning Functional Transduction
Mathieu Chalvidal
Thomas Serre
Rufin VanRullen
AI4CE
104
2
0
01 Feb 2023
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