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GrowBag graphs for keyword ? (Num. hits/coverage)
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Results
Found 4791 publication records. Showing 4791 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
10 | Carlos Martin, Tuomas Sandholm |
Computing equilibria by minimizing exploitability with best-response ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Vincent Pisztora, Jia Li 0001 |
Learning Performance Maximizing Ensembles with Explainability Guarantees. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit |
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer 0001 |
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Ron Fulbright |
On the Augmentation of Cognitive Accuracy and Cognitive Precision in Human/Cog Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Vítor Cerqueira, Luís Torgo |
Multi-output Ensembles for Multi-step Forecasting. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida |
Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Thomas Philippon, Christian Gagné 0001 |
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel |
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney |
When are ensembles really effective? |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian |
The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko |
Deep Gaussian Mixture Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Joshua D. Daniell, Piyush M. Mehta |
Probabilistic Solar Proxy Forecasting with Neural Network Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Tim Whitaker |
Subnetwork Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Thomas Coste, Usman Anwar, Robert Kirk, David Krueger |
Reward Model Ensembles Help Mitigate Overoptimization. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Stefano Calzavara, Lorenzo Cazzaro, Giulio Ermanno Pibiri, Nicola Prezza |
Verifiable Learning for Robust Tree Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch |
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Rafael Henrique Vareto, William Robson Schwartz |
Open-set Face Recognition using Ensembles trained on Clustered Data. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Stanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov |
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Andrei V. Konstantinov, Lev V. Utkin |
Interpretable Ensembles of Hyper-Rectangles as Base Models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson |
You can have your ensemble and run it too - Deep Ensembles Spread Over Time. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Rüdiger Westermann |
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Igor Gitman, Vitaly Lavrukhin, Aleksandr Laptev, Boris Ginsburg |
Confidence-based Ensembles of End-to-End Speech Recognition Models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Kareem A. Eltouny, Wansong Liu, Sibo Tian, Minghui Zheng, Xiao Liang 0012 |
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Ilija Tavchioski, Marko Robnik-Sikonja, Senja Pollak |
Detection of depression on social networks using transformers and ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Yixiao Zhang 0002, Akira Maezawa, Gus Xia, Kazuhiko Yamamoto, Simon Dixon |
Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Jonas Busk, Mikkel N. Schmidt, Ole Winther, Tejs Vegge, Peter Bjørn Jørgensen |
Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Shuangmei Wang, Yang Cao, Tieru Wu |
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Moritz A. Zanger, Wendelin Böhmer, Matthijs T. J. Spaan |
Diverse Projection Ensembles for Distributional Reinforcement Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik |
Fast Inference of Tree Ensembles on ARM Devices. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Panagiotis Mougkogiannis, Andrew Adamatzky |
Learning in ensembles of proteinoid microspheres. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Ruoqi Wen, Jiahao Huang, Rongpeng Li, Guoru Ding, Zhifeng Zhao |
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Anshul Nayak, Azim Eskandarian, Zachary Doerzaph, Prasenjit Ghorai |
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Matthew J. Tilley, Michelle Miller 0007, David Freedman |
Artificial Neuronal Ensembles with Learned Context Dependent Gating. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Shivam Pande |
Land use/land cover classification of fused Sentinel-1 and Sentinel-2 imageries using ensembles of Random Forests. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Jan Felipe van Diejen, Erdal Emsiz |
Cubature rules for unitary Jacobi ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Lennart Purucker, Joeran Beel |
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Sunwoong Yang, Kwanjung Yee |
Towards Quantifying Calibrated Uncertainty via Deep Ensembles in Multi-output Regression Task. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Ioannis Papoutsidakis, Angela Doufexi, Robert J. Piechocki |
Efficient Evaluation of the Probability of Error of Random Coding Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Giulia Di Teodoro, Marta Monaci, Laura Palagi |
Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Mohammad Junayed Hasan, Suhra Noor, Mohammad Ashrafuzzaman Khan |
Preserving the knowledge of long clinical texts using aggregated ensembles of large language models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Grant C. Forbes, Parth Katlana, Zeydy Ortiz |
Metric Ensembles For Hallucination Detection. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Silviu Pitis, Michael R. Zhang, Andrew Wang, Jimmy Ba |
Boosted Prompt Ensembles for Large Language Models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Duc C. Hoang, Cuong V. Nguyen, Amin Kharraz |
EnSolver: Uncertainty-Aware CAPTCHA Solver Using Deep Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Aidin Shiri, Kaushik Roy 0009, Amit P. Sheth, Manas Gaur |
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero |
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar |
Joint Training of Deep Ensembles Fails Due to Learner Collusion. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Tanmay Chavan, Ved Patwardhan |
Text Intimacy Analysis using Ensembles of Multilingual Transformers. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Aik Rui Tan, Shingo Urata, Samuel Goldman, Johannes C. B. Dietschreit, Rafael Gómez-Bombarelli |
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Carolina Veiga Ferreira de Souza, Suzanna Maria Bonnet, Daniel de Oliveira 0001, Márcio Cataldi, Fabio Miranda 0001, Marcos Lage |
ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Lizao Li, Rob Carver, Ignacio Lopez-Gomez, Fei Sha, John Anderson |
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Felix Jimenez, Matthias Katzfuss |
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | John Törnblom, Emil Karlsson, Simin Nadjm-Tehrani |
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Ori Linial, Alon Shoshan, Nadav Bhonker, Elad Hirsch, Lior Zamir, Igor Kviatkovsky, Gérard G. Medioni |
Asymmetric Face Recognition with Cross Model Compatible Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Yuuichi Asahi, Yuta Hasegawa, Naoyuki Onodera, Takashi Shimokawabe, Hayato Shiba, Yasuhiro Idomura |
Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Yanzhao Wu 0001, Ka Ho Chow, Wenqi Wei, Ling Liu 0001 |
Hierarchical Pruning of Deep Ensembles with Focal Diversity. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Panagiotis Mougkogiannis, Andrew Adamatzky |
Low frequency electrical waves in ensembles of proteinoid microspheres. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Jorge Martínez Gil |
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Vimal KB, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian |
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss, John P. Cunningham |
Pathologies of Predictive Diversity in Deep Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Jin-Hong Du, Pratik Patil, Arun Kumar Kuchibhotla |
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Konrad Zuchniak |
Multi-teacher knowledge distillation as an effective method for compressing ensembles of neural networks. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Dang Qua Nguyen, Taejoon Kim |
On The Stability of Approximate Message Passing with Independent Measurement Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Saumya Sinha, John Fasullo, Robert Steven Nerem, Claire Monteleoni |
Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Romit Maulik, Romain Egele, Krishnan Raghavan, Prasanna Balaprakash |
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | David Janz, Alexander E. Litvak, Csaba Szepesvári |
Ensemble sampling for linear bandits: small ensembles suffice. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Hotaka Shiokawa, Pradipto Das, Arthur Toth, Justin Chiu |
Multi-output Headed Ensembles for Product Item Classification. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Xi Wang, Laurence Aitchison, Maja Rudolph |
LoRA ensembles for large language model fine-tuning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava |
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Nicole Merkle, Ralf Mikut |
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato |
An impossibility result for Markov Chain Monte Carlo sampling from micro-canonical bipartite graph ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Yanqiao Zhu 0001, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang 0010 |
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Benjamin S. Ruben, Cengiz Pehlevan |
Learning Curves for Heterogeneous Feature-Subsampled Ridge Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Enes Bektas, Fazli Can |
Leveraging Linear Independence of Component Classifiers: Optimizing Size and Prediction Accuracy for Online Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Jiechen Chen, Sangwoo Park, Osvaldo Simeone |
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer |
Hierarchical Neural Simulation-Based Inference Over Event Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Saumya Sinha, John Fasullo, Robert Steven Nerem, Claire Monteleoni |
Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Adam Piróg, Halina Kwasnicka |
Snapshot Spectral Clustering - a costless approach to deep clustering ensembles generation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | David Hoffmann |
Impact of HPO on AutoML Forecasting Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar |
Responsible AI (RAI) Games and Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Vladan Stojnic, Zakaria Laskar, Giorgos Tolias |
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger |
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding 0001, Zhangyang Wang |
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Jamie F. Mair, Luke Causer, Juan P. Garrahan |
Minibatch training of neural network ensembles via trajectory sampling. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Tim Whitaker, Darrell Whitley |
Interpretable Diversity Analysis: Visualizing Feature Representations In Low-Cost Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Tatsuro Kawamoto |
Entropy of microcanonical finite-graph ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Rui Fang |
Penalty Ensembles for Navier-Stokes with Random Initial Conditions & Forcing. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Yuyue Yan, Takahiro Kawaguchi, Yuichiro Yano, Yuko Hanado, Takayuki Ishizaki |
Structured Kalman Filter for Time Scale Generation in Atomic Clock Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Jose González-Abad, Jorge Baño-Medina |
Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant |
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Atticus Beachy, Harok Bae, José Camberos, Ramana Grandhi |
Epistemic Modeling Uncertainty of Rapid Neural Network Ensembles for Adaptive Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Uri Stern, Daniel Shwartz, Daphna Weinshall |
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Cuong Tran 0007, Ferdinando Fioretto |
On the Fairness Impacts of Private Ensembles Models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Constantinos Chamzas, Caelan Reed Garrett, Balakumar Sundaralingam, Lydia E. Kavraki, Dieter Fox |
Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski |
Input gradient diversity for neural network ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis |
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Sam Powers, Eliot Xing, Abhinav Gupta 0001 |
Self-Activating Neural Ensembles for Continual Reinforcement Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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10 | Andrei-Alexandru Preda, Dumitru-Clementin Cercel, Traian Rebedea, Costin-Gabriel Chiru |
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Christian Komusiewicz, Pascal Kunz, Frank Sommer, Manuel Sorge |
On Computing Optimal Tree Ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
10 | Aditi Singla, Aditya Singh, Kanishk Kukreja |
A bi-objective ε-constrained framework for quality-cost optimization in language model ensembles. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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