Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.06715
Cited By
v1
v2 (latest)
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
International Conference on Learning Representations (ICLR), 2020
17 February 2020
Yeming Wen
Dustin Tran
Jimmy Ba
OOD
FedML
UQCV
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning"
50 / 345 papers shown
How (Mis)calibrated is Your Federated CLIP and What To Do About It?
Mainak Singha
Masih Aminbeidokhti
Paolo Casari
Elisa Ricci
Subhankar Roy
FedML
VLM
234
0
0
03 Dec 2025
On Joint Regularization and Calibration in Deep Ensembles
Laurits Fredsgaard
Mikkel N. Schmidt
UQCV
400
0
0
06 Nov 2025
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
S. Yu
Dongjun Nam
Dina Katabi
Jeany Son
168
0
0
26 Oct 2025
Neural Diversity Regularizes Hallucinations in Language Models
Kushal Chakrabarti
Nirmal Balachundhar
175
0
0
23 Oct 2025
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
Sehyun Park
Jongjin Lee
Yunseop Shin
Ilsang Ohn
Yongdai Kim
UQCV
BDL
439
1
0
22 Oct 2025
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
Firas Gabetni
Giuseppe Curci
Andrea Pilzer
Subhankar Roy
Elisa Ricci
Gianni Franchi
208
3
0
21 Oct 2025
Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study
Gangda Deng
Yuxin Yang
Ömer Faruk Akgül
Hanqing Zeng
Yinglong Xia
Rajgopal Kannan
Viktor Prasanna
198
0
0
21 Oct 2025
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
Momin Abbas
Ali Falahati
Hossein Goli
Mohammad Mohammadi Amiri
196
2
0
07 Oct 2025
Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport
Jeffrey N Clark
Elena Fillola
Nawid Keshtmand
Raúl Santos-Rodríguez
Matthew Rigby
105
0
0
07 Oct 2025
Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation
Jeremiah Fadugba
P. Manescu
Bolanle Oladejo
D. Fernández-Reyes
Philipp Berens
UQCV
OOD
FedML
235
0
0
15 Sep 2025
Few-shot Class-incremental Fault Diagnosis by Preserving Class-Agnostic Knowledge with Dual-Granularity Representations
Zhendong Yang
Jie Wang
Liansong Zong
Xiaorong Liu
Quan Qian
Shiqian Chen
391
0
0
16 Aug 2025
Calibration Attention: Learning Reliability-Aware Representations for Vision Transformers
Wenhao Liang
Wei Emma Zhang
Lin Yue
Miao Xu
Olaf Maennel
L. Yao
Weitong Chen
212
0
0
12 Aug 2025
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
Ilia Azizi
Juraj Bodik
Jakob Heiss
Bin Yu
UQCV
UD
477
3
0
10 Jul 2025
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles
IEEE Transactions on Medical Imaging (TMI), 2023
Xing Shen
Hengguan Huang
Brennan Nichyporuk
Tal Arbel
MedIm
597
13
0
01 Jul 2025
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
C. Tan
Yubo Zhou
Haishan Ye
Guang Dai
Junmin Liu
Zengjie Song
Jiangshe Zhang
Zixiang Zhao
Yunda Hao
Yong Xu
AAML
317
0
0
29 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
Dominik Fuchsgruber
Tom Wollschlager
Johannes Bordne
Stephan Günnemann
236
1
0
28 May 2025
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks
Debargha Ganguly
Vikash Singh
Sreehari Sankar
Biyao Zhang
Xuecen Zhang
Srinivasan Iyengar
Xiaotian Han
Amit Sharma
Shivkumar Kalyanaraman
Vipin Chaudhary
461
7
0
26 May 2025
Asymmetric Duos: Sidekicks Improve Uncertainty
Tim G. Zhou
Evan Shelhamer
Geoff Pleiss
UQCV
544
1
0
24 May 2025
NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling
Bram Grooten
Farid Hasanov
Chenxiang Zhang
Q. Xiao
Boqian Wu
...
Shiwei Liu
L. Yin
Elena Mocanu
Mykola Pechenizkiy
Decebal Constantin Mocanu
402
0
0
23 May 2025
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard
Si-Yang Liu
Qile Zhou
Han-Jia Ye
LMTD
LRM
401
4
0
19 May 2025
Parallel Scaling Law for Language Models
Mouxiang Chen
Binyuan Hui
Zeyu Cui
Jiaxi Yang
Dayiheng Liu
Jianling Sun
Junyang Lin
Zhongxin Liu
MoE
LRM
384
23
0
15 May 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
HILM
687
2
0
25 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey
Jun-Peng Jiang
Si-Yang Liu
Hao-Run Cai
Qile Zhou
Han-Jia Ye
LMTD
454
25
0
17 Apr 2025
Self-Controlled Dynamic Expansion Model for Continual Learning
RunQing Wu
KaiHui Huang
HanYi Zhang
Fei Ye
CLL
VLM
365
1
0
14 Apr 2025
Boosting-inspired online learning with transfer for railway maintenance
Diogo Risca
Afonso Lourenço
Goreti Marreiros
234
2
0
11 Apr 2025
Enhanced Anomaly Detection for Capsule Endoscopy Using Ensemble Learning Strategies
Julia Werner
Christoph Gerum
Jorg Nick
Maxime Le Floch
Franz Brinkmann
Jochen Hampe
Oliver Bringmann
205
4
0
08 Apr 2025
Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection
International Conference on Neural Information Processing (ICONIP), 2025
Shunsuke Sakai
Shunsuke Tsuge
Tatsuhito Hasegawa
221
0
0
08 Apr 2025
(GG) MoE vs. MLP on Tabular Data
Andrei Chernov
BDL
MoE
422
2
0
05 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
OODD
619
2
0
05 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Si-Yang Liu
Han-Jia Ye
491
27
0
04 Feb 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Parinita Nema
V. Kurmi
CLL
348
5
0
17 Jan 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
RunQing Wu
Fei Ye
QiHe Liu
Guoxi Huang
Jinyu Guo
Rongyao Hu
CLL
922
1
0
15 Jan 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Adrien Lafage
Mathieu Barbier
Gianni Franchi
David Filliat
493
8
0
08 Jan 2025
U-FaceBP: Uncertainty-aware Bayesian Ensemble Deep Learning for Face Video-based Blood Pressure Measurement
Yusuke Akamatsu
Terumi Umematsu
Terumi Umematsu
CVBM
289
1
0
14 Dec 2024
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
Computer Vision and Pattern Recognition (CVPR), 2024
Gianni Franchi
Dat Nguyen Trong
Nacim Belkhir
Guoxuan Xia
Andrea Pilzer
UQLM
476
7
0
04 Dec 2024
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
Xinzhe Cao
Yadong Xu
Xiaofeng Yang
338
0
0
24 Nov 2024
Multi-Token Enhancing for Vision Representation Learning
Zhong-Yu Li
Yu-Song Hu
Bo Yin
Ming-Ming Cheng
536
2
0
24 Nov 2024
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
Neural Information Processing Systems (NeurIPS), 2024
G. Nam
Juho Lee
388
1
0
22 Nov 2024
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
Neural Information Processing Systems (NeurIPS), 2024
David Smerkous
Qinxun Bai
Fuxin Li
BDL
400
3
0
31 Oct 2024
Uncertainty Estimation for 3D Object Detection via Evidential Learning
Nikita Durasov
Rafid Mahmood
Jiwoong Choi
Marc T. Law
James Lucas
Pascal Fua
Jose M. Alvarez
UQCV
EDL
3DPC
379
5
0
31 Oct 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
International Conference on Learning Representations (ICLR), 2024
Yury Gorishniy
Akim Kotelnikov
Artem Babenko
LMTD
MoE
996
71
0
31 Oct 2024
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
Hsiu-Yuan Huang
Yutong Yang
Zhaoxi Zhang
Sanwoo Lee
Yunfang Wu
490
43
0
20 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Boning Zhang
Dongzhu Liu
Osvaldo Simeone
Guanchu Wang
Dimitrios Pezaros
Guangxu Zhu
BDL
FedML
252
1
0
18 Oct 2024
Boosting Deep Ensembles with Learning Rate Tuning
Hongpeng Jin
Yanzhao Wu
323
2
0
10 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs
Ruijia Niu
D. Wu
Rose Yu
Yi-An Ma
661
2
0
09 Oct 2024
Regularized Neural Ensemblers
Sebastian Pineda Arango
Maciej Janowski
Lennart Purucker
Arber Zela
Frank Hutter
Josif Grabocka
UQCV
346
0
0
06 Oct 2024
IT
3
^3
3
: Idempotent Test-Time Training
Nikita Durasov
Assaf Shocher
Doruk Öner
Gal Chechik
Alexei A. Efros
Pascal Fua
OOD
VLM
644
4
0
05 Oct 2024
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time
European Conference on Computer Vision (ECCV), 2024
Chiao-An Yang
Ziwei Liu
Raymond A. Yeh
181
1
0
01 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Mengyuan Chen
Junyu Gao
Changsheng Xu
EDL
450
7
0
01 Oct 2024
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation
Knowledge Discovery and Data Mining (KDD), 2024
Maying Shen
Nadine Chang
Sifei Liu
Jose M. Alvarez
309
4
0
20 Sep 2024
1
2
3
4
5
6
7
Next
Page 1 of 7