Sercan Ö. Arık

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments	2025	Hongjin Su Ruoxi Sun Jinsung Yoon Pengcheng Yin Tao Yu Sercan Ö. Arık
+ PDF Chat	Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling	2024	Maximillian Chen Ruoxi Sun Sercan Ö. Arık
+ PDF Chat	Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG	2024	Bowen Jin Jinsung Yoon Han Jiawei Sercan Ö. Arık
+ PDF Chat	CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL	2024	Mohammadreza Pourreza Hailong Li Ruoxi Sun Yeounoh Chung Shayan Talaei Gaurav Tarlok Kakkar Yu Gan Amin Saberi Fatma Özcan Sercan Ö. Arık
+ PDF Chat	SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging	2024	Mohammadreza Pourreza Ruoxi Sun Hailong Li Lesly Miculicich Tomas Pfister Sercan Ö. Arık
+ PDF Chat	CROME: Cross-Modal Adapters for Efficient Multimodal LLM	2024	Sayna Ebrahimi Sercan Ö. Arık Tejas Nama Tomas Pfister
+ PDF Chat	Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions	2024	Jinsung Yoon Raj Sinha Sercan Ö. Arık Tomas Pfister
+ PDF Chat	BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval	2024	Hongjin Su H. W. Yen Mengzhou Xia Weijia Shi Niklas Muennighoff Hanyu Wang F. H. Liu Quan Shi Zachary S. Siegel Michael Tang
+ PDF Chat	Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization	2024	Xingchen Wan Ruoxi Sun Hootan Nakhost Sercan Ö. Arık
+ PDF Chat	Learned Feature Importance Scores for Automated Feature Engineering	2024	Yihe Dong Sercan Ö. Arık Nathanael C. Yoder Tomas Pfister
+ PDF Chat	Chain of Agents: Large Language Models Collaborating on Long-Context Tasks	2024	Yusen Zhang Ruoxi Sun Yanfei Chen Tomas Pfister Rui Zhang Sercan Ö. Arık
+ PDF Chat	Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training	2024	Maximillian Chen Ruoxi Sun Sercan Ö. Arık Tomas Pfister
+ PDF Chat	Mitigating Object Hallucination via Data Augmented Contrastive Tuning	2024	Pritam Sarkar Sayna Ebrahimi Ali Etemad Ahmad Beirami Sercan Ö. Arık Tomas Pfister
+ PDF Chat	Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning	2024	Sungwon Han Jinsung Yoon Sercan Ö. Arık Tomas Pfister
+ PDF Chat	Effective Large Language Model Adaptation for Improved Grounding and Citation Generation	2024	Ye Xi Ruoxi Sun Sercan Ö. Arık Tomas Pfister
+ PDF Chat	TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents	2024	James Enouen Hootan Nakhost Sayna Ebrahimi Sercan Ö. Arık Yan Liu Tomas Pfister
+ PDF Chat	Neural Spline Search for Quantile Probabilistic Modeling	2023	Ruoxi Sun Chun‐Liang Li Sercan Ö. Arık Michael W. Dusenberry Chen‐Yu Lee Tomas Pfister
+	Neural Spline Search for Quantile Probabilistic Modeling	2023	Ruoxi Sun Chun‐Liang Li Sercan Ö. Arık Michael W. Dusenberry Chen‐Yu Lee Tomas Pfister
+	TSMixer: An All-MLP Architecture for Time Series Forecasting	2023	Sian Chen Chun‐Liang Li Nathanael C. Yoder Sercan Ö. Arık Tomas Pfister
+	SLM: End-to-end Feature Selection via Sparse Learnable Masks	2023	Yihe Dong Sercan Ö. Arık
+	ASPEST: Bridging the Gap Between Active Learning and Selective Prediction	2023	Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan Ö. Arık Somesh Jha Tomas Pfister
+	Universal Self-Adaptive Prompting	2023	Xingchen Wan Ruoxi Sun Hootan Nakhost Hanjun Dai Julian Martin Eisenschlos Sercan Ö. Arık Tomas Pfister
+	Better Zero-Shot Reasoning with Self-Adaptive Prompting	2023	Xingchen Wan Ruoxi Sun Hanjun Dai Sercan Ö. Arık Tomas Pfister
+	LANISTR: Multimodal Learning from Structured and Unstructured Data	2023	Sayna Ebrahimi Sercan Ö. Arık Yihe Dong Tomas Pfister
+	SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL	2023	Ruoxi Sun Sercan Ö. Arık Hootan Nakhost Hanjun Dai Rajarishi Sinha Pengcheng Yin Tomas Pfister
+ PDF Chat	Better Zero-Shot Reasoning with Self-Adaptive Prompting	2023	Xingchen Wan Ruoxi Sun Hanjun Dai Sercan Ö. Arık Tomas Pfister
+	Business Metric-Aware Forecasting for Inventory Management	2023	Juan Zhou Sercan Ö. Arık Jingtao Wang
+	PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series	2023	Nicasia Beebe-Wang Sayna Ebrahimi Jinsung Yoon Sercan Ö. Arık Tomas Pfister
+	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting	2023	Defu Cao Furong Jia Sercan Ö. Arık Tomas Pfister Yixiang Zheng Wen Ye Yan Liu
+	Search-Adaptor: Text Embedding Customization for Information Retrieval	2023	Jinsung Yoon Sercan Ö. Arık Yanfei Chen Tomas Pfister
+	Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs	2023	Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan Ö. Arık Tomas Pfister Somesh Jha
+	COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning	2023	Chuizheng Meng Yihe Dong Sercan Ö. Arık Yan Liu Tomas Pfister
+	SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data	2023	Ruoxi Sun Sercan Ö. Arık Rajarishi Sinha Hootan Nakhost Hanjun Dai Pengcheng Yin Tomas Pfister
+	Effective Large Language Model Adaptation for Improved Grounding	2023	Xi Ye Ruoxi Sun Sercan Ö. Arık Tomas Pfister
+	TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents	2023	James Enouen Hootan Nakhost Sayna Ebrahimi Sercan Ö. Arık Yan Liu Tomas Pfister
+ PDF Chat	Universal Self-Adaptive Prompting	2023	Xingchen Wan Ruoxi Sun Hootan Nakhost Hanjun Dai Julian Martin Eisenschlos Sercan Ö. Arık Tomas Pfister
+	SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data	2023	Ruoxi Sun Sercan Ö. Arık Rajarishi Sinha Hootan Nakhost Hanjun Dai Pengcheng Yin Tomas Pfister
+	Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs	2023	Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan Ö. Arık Tomas Pfister Somesh Jha
+ PDF Chat	The United States COVID-19 Forecast Hub dataset	2022	Estee Y. Cramer Yuxin Huang Yijin Wang Evan L Ray Matthew Cornell Johannes Bracher Andrea Brennen Alvaro J. Castro Rivadeneira Aaron Gerding Katie House
+ PDF Chat	Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding	2022	Zizhao Zhang Han Zhang L. Zhao Ting Chen Sercan Ö. Arık Tomas Pfister
+ PDF Chat	Algorithmic fairness in pandemic forecasting: lessons from COVID-19	2022	Thomas C. Tsai Sercan Ö. Arık Benjamin H. Jacobson Jinsung Yoon Nathanael C. Yoder Dario Sava Margaret Mitchell Garth Graham Tomas Pfister
+	Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States	2022	Estee Y. Cramer Evan L Ray Velma K. Lopez Johannes Bracher Andrea Brennen Alvaro J. Castro Rivadeneira Aaron Gerding Tilmann Gneiting Katie House Yuxin Huang
+	Decoupling Local and Global Representations of Time Series	2022	Sana Tonekaboni Chun‐Liang Li Sercan Ö. Arık Anna Goldenberg Tomas Pfister
+	Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series	2022	Sercan Ö. Arık Nathanael C. Yoder Tomas Pfister
+	Data-Efficient and Interpretable Tabular Anomaly Detection	2022	Chun‐Hao Chang Jinsung Yoon Sercan Ö. Arık Madeleine Udell Tomas Pfister
+	Interpretable Mixture of Experts	2022	Aya Abdelsalam Ismail Sercan Ö. Arık Jinsung Yoon Ankur Taly Soheil Feizi Tomas Pfister
+	Invariant Structure Learning for Better Generalization and Causal Explainability	2022	Yunhao Ge Sercan Ö. Arık Jinsung Yoon Ao Xu Laurent Itti Tomas Pfister
+	Test-Time Adaptation for Visual Document Understanding	2022	Sayna Ebrahimi Sercan Ö. Arık Tomas Pfister
+	Self-Supervised Learning with an Information Maximization Criterion	2022	Serdar Ozsoy Shadi Hamdan Sercan Ö. Arık Deniz Yüret Alper T. Erdoğan
+	Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts	2022	Rui Wang Yihe Dong Sercan Ö. Arık Rose Yu
+	Provable Membership Inference Privacy	2022	Zachary Izzo Jinsung Yoon Sercan Ö. Arık James Zou
+	SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch	2022	Jinsung Yoon Kihyuk Sohn Chun‐Liang Li Sercan Ö. Arık Tomas Pfister
+ PDF Chat	A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan	2021	Sercan Ö. Arık Joel Shor Rajarishi Sinha Jinsung Yoon Joseph R. Ledsam Long Tan Le Michael W. Dusenberry Nathanael C. Yoder Kris Popendorf Arkady Epshteyn
+	Temporal Fusion Transformers for interpretable multi-horizon time series forecasting	2021	Bryan Lim Sercan Ö. Arık Nicolas Loeff Tomas Pfister
+ PDF Chat	Controlling Neural Networks with Rule Representations	2021	Sungyong Seo Sercan Ö. Arık Jinsung Yoon X. D. Zhang Kihyuk Sohn Tomas Pfister
+	Self-Trained One-class Classification for Unsupervised Anomaly Detection.	2021	Jinsung Yoon Kihyuk Sohn Chun‐Liang Li Sercan Ö. Arık Chen‐Yu Lee Tomas Pfister
+ PDF Chat	TabNet: Attentive Interpretable Tabular Learning	2021	Sercan Ö. Arık Tomas Pfister
+ PDF Chat	A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan	2021	Joseph R. Ledsam Sercan Ö. Arık Joel Shor Rajarishi Sinha Jinsung Yoon Long Tan Le Michael W. Dusenberry Nathanael C. Yoder Kris Popendorf Arkady Epshteyn
+ PDF Chat	Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US	2021	Estee Y. Cramer Evan L Ray Velma K. Lopez Johannes Bracher Andrea Brennen Alvaro J. Castro Rivadeneira Aaron Gerding Tilmann Gneiting Katie House Yuxin Huang
+	Controlling Neural Networks with Rule Representations	2021	Sungyong Seo Sercan Ö. Arık Jinsung Yoon Xiang Zhang Kihyuk Sohn Tomas Pfister
+	Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection	2021	Jinsung Yoon Kihyuk Sohn Chun‐Liang Li Sercan Ö. Arık Chen‐Yu Lee Tomas Pfister
+	Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding	2021	Zizhao Zhang Han Zhang L. Zhao Ting Chen Sercan Ö. Arık Tomas Pfister
+ PDF Chat	Distilling Effective Supervision From Severe Label Noise	2020	Zizhao Zhang Han Zhang Sercan Ö. Arık Honglak Lee Tomas Pfister
+	Explaining Deep Neural Networks using Unsupervised Clustering	2020	Sercan Ö. Arık Yu-han Liu
+	Interpretable Sequence Learning for COVID-19 Forecasting	2020	Sercan Ö. Arık Chun‐Liang Li Jinsung Yoon Rajarishi Sinha Arkady Epshteyn Long Tan Le Vikas Menon Shashank Singh Leyou Zhang Nathanael C. Yoder
+ PDF Chat	Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning	2020	Linchao Zhu Sercan Ö. Arık Yi Yang Tomas Pfister
+ PDF Chat	Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost	2020	Mingfei Gao Zizhao Zhang Guo Yu Sercan Ö. Arık Larry S. Davis Tomas Pfister
+	Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting	2019	Bryan Lim Sercan Ö. Arık Nicolas Loeff Tomas Pfister
+	On Completeness-aware Concept-Based Explanations in Deep Neural Networks.	2019	Chih‐Kuan Yeh Been Kim Sercan Ö. Arık Chun‐Liang Li Tomas Pfister Pradeep Ravikumar
+	IEG: Robust Neural Network Training to Tackle Severe Label Noise.	2019	Zizhao Zhang Han Zhang Sercan Ö. Arık Honglak Lee Tomas Pfister
+	Learning to Transfer Learn	2019	Linchao Zhu Sercan Ö. Arık Yi Yang Tomas Pfister
+	RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling	2019	Jinsung Yoon Sercan Ö. Arık Tomas Pfister
+	TabNet: Attentive Interpretable Tabular Learning	2019	Sercan Ö. Arık Tomas Pfister
+	EPNAS: Efficient Progressive Neural Architecture Search	2019	Yanqi Zhou Peng Wang Sercan Ö. Arık Haonan Yu Syed Zawad Feng Yan Greg Diamos
+	Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks.	2019	Sercan Ö. Arık Tomas Pfister
+	ProtoAttend: Attention-Based Prototypical Learning	2019	Sercan Ö. Arık Tomas Pfister
+	Attention-Based Prototypical Learning	2019	Sercan Ö. Arık Tomas Pfister
+	EPNAS: Efficient Progressive Neural Architecture Search	2019	Yanqi Zhou Peng Wang Sercan Ö. Arık Haonan Yu Syed Zawad Feng Yan Greg Diamos
+	Data Valuation using Reinforcement Learning	2019	Jinsung Yoon Sercan Ö. Arık Tomas Pfister
+	Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost	2019	Mingfei Gao Zizhao Zhang Guo Yu Sercan Ö. Arık Larry S. Davis Tomas Pfister
+	Distance-Based Learning from Errors for Confidence Calibration	2019	Xing Chen Sercan Ö. Arık Zizhao Zhang Tomas Pfister
+	Distilling Effective Supervision from Severe Label Noise	2019	Zizhao Zhang Han Zhang Sercan Ö. Arık Honglak Lee Tomas Pfister
+	Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning	2019	Linchao Zhu Sercan Ö. Arık Yi Yang Tomas Pfister
+	Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting	2019	Bryan Lim Sercan Ö. Arık Nicolas Loeff Tomas Pfister
+	On Completeness-aware Concept-Based Explanations in Deep Neural Networks	2019	Chih‐Kuan Yeh Been Kim Sercan Ö. Arık Chun‐Liang Li Tomas Pfister Pradeep Ravikumar
+	ProtoAttend: Attention-Based Prototypical Learning	2019	Sercan Ö. Arık Tomas Pfister
+	TabNet: Attentive Interpretable Tabular Learning	2019	Sercan Ö. Arık Tomas Pfister
+	LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling	2019	Jinsung Yoon Sercan Ö. Arık Tomas Pfister
+ PDF Chat	Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks	2018	Sercan Ö. Arık Heewoo Jun Gregory Diamos
+ PDF Chat	Low-Complexity Implementation of Convex Optimization-Based Phase Retrieval	2018	Sercan Ö. Arık Joseph M. Kahn
+	Neural Voice Cloning with a Few Samples	2018	Sercan Ö. Arık Jitong Chen Kainan Peng Wei Ping Yanqi Zhou
+	Resource-Efficient Neural Architect	2018	Yanqi Zhou Siavash Ebrahimi Sercan Ö. Arık Haonan Yu Hairong Liu Greg Diamos
+	Deep Voice 3: 2000-Speaker Neural Text-to-Speech	2017	Wei Ping Kainan Peng Andrew Gibiansky Sercan Ö. Arık Ajay Kannan Sharan Narang Jonathan Raiman J. J. Miller
+	Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning	2017	Wei Ping Kainan Peng Andrew Gibiansky Sercan Ö. Arık Ajay Kannan Sharan Narang Jonathan Raiman J. J. Miller
+ PDF Chat	Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting	2017	Sercan Ö. Arık Markus Kliegl Rewon Child Joel Hestness Andrew Gibiansky Chris Fougner Ryan Prenger Adam Coates
+	Deep Voice: Real-time Neural Text-to-Speech	2017	Sercan Ö. Arık Mike Chrzanowski Adam Coates Gregory Diamos Andrew Gibiansky Yongguo Kang Xian Li J. J. Miller Andrew Y. Ng Jonathan Raiman
+	Deep Voice 2: Multi-Speaker Neural Text-to-Speech	2017	Sercan Ö. Arık Gregory Diamos Andrew Gibiansky J. J. Miller Kainan Peng Wei Ping Jonathan Raiman Yanqi Zhou
+	Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning	2017	Wei Ping Kainan Peng Andrew Gibiansky Sercan Ö. Arık Ajay Kannan Sharan Narang Jonathan Raiman J. J. Miller
+	Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting	2017	Sercan Ö. Arık Markus Kliegl Rewon Child Joel Hestness Andrew Gibiansky Chris Fougner Ryan Prenger Adam Coates
+ PDF Chat	Optimal representation and processing of optical signals in quadratic-phase systems	2015	Sercan Ö. Arık Haldun M. Özaktaş
+	Supervised classification-based stock prediction and portfolio optimization.	2014	Sercan Ö. Arık Sukru Burc Eryilmaz Adam Goldberg
+	Supervised classification-based stock prediction and portfolio optimization	2014	Sercan Ö. Arık Sukru Burc Eryilmaz Adam Goldberg
+ PDF Chat	Fundamental structure of Fresnel diffraction: longitudinal uniformity with respect to fractional Fourier order	2011	Haldun M. Özaktaş Sercan Ö. Arık Türker Coşkun
+ PDF Chat	Fundamental structure of Fresnel diffraction: natural sampling grid and the fractional Fourier transform	2011	Haldun M. Özaktaş Sercan Ö. Arık Türker Coşkun

Common Coauthors

Coauthor	Papers Together
Tomas Pfister	73
Jinsung Yoon	29
Chun‐Liang Li	15
Nathanael C. Yoder	10
Ruoxi Sun	10
Hootan Nakhost	9
Rajarishi Sinha	9
Ruoxi Sun	8
Sayna Ebrahimi	8
Andrew Gibiansky	7
Hanjun Dai	7
Arkady Epshteyn	6
Elli Kanal	6
Long Tan Le	6
Zizhao Zhang	6
Thomas C. Tsai	6
J. J. Miller	5
Jonathan Raiman	5
Wei Ping	5
Xingchen Wan	5
Yanqi Zhou	5
Kihyuk Sohn	5
Kainan Peng	5
Yihe Dong	5
Dario Sava	5
Leyou Zhang	4
Chen‐Yu Lee	4
Rose Yu	4
Michael W. Dusenberry	4
Christina Kyriakides	3
Matt Kinsey	3
Logan Brooks	3
Russ Wolfinger	3
Joshua Kaminsky	3
Jiaming Cui	3
Anja Mühlemann	3
Soni Saksham	3
Daniel M. Siegel	3
Emily T. Martin	3
Liyao Gao	3
Jiefeng Chen	3
Pedro Forli	3
Pete Riley	3
Mingyuan Zhou	3
Avtansh Tiwari	3
Ugur Koyluoglu	3
Addison J. Hu	3
Shelby Wilson	3
Benjamin D. Trump	3
Robert Walraven	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	9
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	8
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	8
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	7
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	6
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	5
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	5
+	Deep Learning Scaling is Predictable, Empirically	2017	Joel Hestness Sharan Narang Newsha Ardalani Gregory Diamos Heewoo Jun Hassan Kianinejad Md. Mostofa Ali Patwary Yang Yang Yanqi Zhou	5
+	Deep Voice: Real-time Neural Text-to-Speech	2017	Sercan Ö. Arık Mike Chrzanowski Adam Coates Gregory Diamos Andrew Gibiansky Yongguo Kang Xian Li J. J. Miller Andrew Y. Ng Jonathan Raiman	5
+ PDF Chat	Evaluating epidemic forecasts in an interval format	2021	Johannes Bracher Evan L Ray Tilmann Gneiting Nicholas G Reich	5
+	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	2020	Kihyuk Sohn David Berthelot Chun‐Liang Li Zizhao Zhang Nicholas Carlini Ekin D. Cubuk А.В. Куракин Han Zhang Colin Raffel	4
+	A Multi-Horizon Quantile Recurrent Forecaster	2017	Ruofeng Wen Kari Torkkola N. Balakrishnan Dhruv Madeka	4
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	4
+	Understanding Black-box Predictions via Influence Functions	2017	Pang Wei Koh Percy Liang	4
+	Self-Consistency Improves Chain of Thought Reasoning in Language Models	2022	Xuezhi Wang Jason Lee Dale Schuurmans Quoc V. Le Ed H. Denny Zhou	4
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	4
+	PaLM: Scaling Language Modeling with Pathways	2022	Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra Adam Roberts Paul Barham Hyung Won Chung Charles Sutton Sebastian Gehrmann	4
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	4
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	4
+	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)	2017	Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler Fernanda Viégas Rory Sayres	4
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	4
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	4
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	4
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	3
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	3
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	3
+	Representer Point Selection for Explaining Deep Neural Networks	2018	Chih‐Kuan Yeh Joon Sik Kim Ian En-Hsu Yen Pradeep Ravikumar	3
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	3
+ PDF Chat	Transfer Learning for Low-Resource Neural Machine Translation	2016	Barret Zoph Deniz Yüret Jonathan May Kevin Knight	3
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	3
+	Hamiltonian Neural Networks	2019	Sam Greydanus Misko Dzamba Jason Yosinski	3
+ PDF Chat	Additional sampling criterion for the linear canonical transform	2008	John J. Healy Bryan M. Hennelly John T. Sheridan	3
+	Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning	2019	Michael Lutter Christian Ritter Jan Peters	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	3
+	The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt	2017	Cécile Viboud Kaiyuan Sun Robert Gaffey Marco Ajelli Laura Fumanelli Stefano Merler Qian Zhang Gerardo Chowell Lone Simonsen Alessandro Vespignani	3
+ PDF Chat	Sampling of the diffraction field	2000	Levent Onural	3
+ PDF Chat	Exact Relation Between Continuous and Discrete Linear Canonical Transforms	2009	Figen S. Öktem Haldun M. Özaktaş	3
+ PDF Chat	Fractional Fourier optics	1995	Haldun M. Özaktaş David Mendlovic	3
+	Modeling epidemics using cellular automata	2006	Sara Hoya White A. Martı́n del Rey Gerardo Rodríguez	3
+ PDF Chat	Fast numerical algorithm for the linear canonical transform	2005	Bryan M. Hennelly John T. Sheridan	3
+ PDF Chat	CNN Features Off-the-Shelf: An Astounding Baseline for Recognition	2014	Ali Sharif Razavian Hossein Azizpour Josephine Sullivan Stefan Carlsson	3
+	Generalized Additive Models	1986	Trevor Hastie Robert Tibshirani	3
+	MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels	2017	Lu Jiang Zhengyuan Zhou Thomas Leung Li-Jia Li Li Fei-Fei	3
+ PDF Chat	Digital Computation of Linear Canonical Transforms	2008	Aykut Koç Haldun M. Özaktaş Çağatay Candan M. Alper Kutay	3
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	3
+ PDF Chat	An open-data-driven agent-based model to simulate infectious disease outbreaks	2018	Elizabeth Hunter Brian Mac Namee John D. Kelleher	3
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	3
+ PDF Chat	Generalizing, optimizing, and inventing numerical algorithms for the fractional Fourier, Fresnel, and linear canonical transforms	2005	Bryan M. Hennelly John T. Sheridan	3