Daniel S. Weld

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All published works
Action Title Year Authors
+ PDF Chat Challenges in Human-Agent Communication 2024 Gagan Bansal
Jennifer Wortman Vaughan
Saleema Amershi
Eric Horvitz
Adam Fourney
Hussein Mozannar
Victor Dibia
Daniel S. Weld
+ Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows 2023 Madeleine Grunde-McLaughlin
Michelle S. Lam
Ranjay Krishna
Daniel S. Weld
Jeffrey Heer
+ Scim: Intelligent Skimming Support for Scientific Papers 2022 Raymond Fok
Hita Kambhamettu
Luca Soldaini
Jonathan Bragg
Kyle Lo
Andrew Head
Marti A. Hearst
Daniel S. Weld
+ PDF Chat Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty 2021 Quan Ze Chen
Daniel S. Weld
Amy X. Zhang
+ Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork 2020 Gagan Bansal
Besmira Nushi
Ece Kamar
Eric Horvitz
Daniel S. Weld
+ SpanBERT: Improving Pre-training by Representing and Predicting Spans 2019 Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
+ PDF Chat The challenge of crafting intelligible intelligence 2019 Daniel S. Weld
Gagan Bansal
+ SpanBERT: Improving Pre-training by Representing and Predicting Spans 2019 Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
+ Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing 2018 Quan Ze Chen
Jonathan Bragg
Lydia B. Chilton
Daniel S. Weld
+ Semi-Supervised Event Extraction with Paraphrase Clusters 2018 James Ferguson
Colin Lockard
Daniel S. Weld
Hannaneh Hajishirzi
+ A Programming Language With a POMDP Inside 2016 Christopher H. Lin
Mausam Mausam
Daniel S. Weld
+ Extreme Extraction: Only One Hour per Relation 2015 Raphael Hoffmann
Luke Zettlemoyer
Daniel S. Weld
+ Topological Value Iteration Algorithms 2014 Peng Dai
Daniel S. Weld
Judy Goldsmith
+ Topological Value Iteration Algorithms 2014 Peng Dai
Daniel S. Weld
Judy Goldsmith
+ A Probabilistic Model of Action for Least-Commitment Planning with Information Gather 2013 Denise L. Draper
Steve Hanks
Daniel S. Weld
+ A Probabilistic Model of Action for Least-Commitment Planning with Information Gather 2013 Denise L. Draper
Steve Hanks
Daniel S. Weld
+ A Theory of Goal-Oriented MDPs with Dead Ends 2012 Andrey Kolobov
Mausam Mausam
Daniel S. Weld
+ Crowdsourcing Control: Moving Beyond Multiple Choice 2012 Christopher H. Lin
Mausam Mausam
Daniel S. Weld
+ Extending continuous time Bayesian networks 2005 Karthik Gopalratnam
Henry Kautz
Daniel S. Weld
+ PDF Chat A Domain-Independent Algorithm for Plan Adaptation 1995 Steve Hanks
Daniel S. Weld
+ A Domain-Independent Algorithm for Plan Adaptation 1995 Steve Hanks
Daniel S. Weld
+ Innovative design as systematic search 1993 Dorothy Neville
Daniel S. Weld
+ Comparative Analysis 1990 Daniel S. Weld
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Symbolic generalization for on-line planning 2002 Zhengzhu Feng
Eric A. Hansen
Shlomo Zilberstein
2
+ Explaining and Harnessing Adversarial Examples 2014 Ian Goodfellow
Jonathon Shlens
Christian Szegedy
2
+ PDF Chat A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains 2009 Nicolas Meuleau
Emmanuel Bénazéra
Ronen I. Brafman
Eric A. Hansen
Mausam Mausam
2
+ Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems 2013 Ronald Parr
2
+ PDF Chat Efficient Solution Algorithms for Factored MDPs 2003 Carlos Guestrin
Daphne Koller
R. Parr
Satchi Venkataraman
2
+ On the Complexity of Solving Markov Decision Problems 2013 Michael L. Littman
Thomas Dean
Leslie Pack Kaelbling
2
+ PDF Chat Ranking with Uncertain Labels 2007 Shuicheng Yan
Huan Wang
Thomas S. Huang
Qiong Yang
Xiaoou Tang
1
+ PDF Chat Causes and Explanations: A Structural-Model Approach. Part I: Causes 2005 Joseph Y. Halpern
Judea Pearl
1
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
1
+ PDF Chat Generating Visual Explanations 2016 Lisa Anne Hendricks
Zeynep Akata
Marcus Rohrbach
Jeff Donahue
Bernt Schiele
Trevor Darrell
1
+ Data Programming: Creating Large Training Sets, Quickly 2016 Alexander Ratner
Christopher De
Sen Wu
Daniel Selsam
Christopher RĂ©
1
+ The Mythos of Model Interpretability 2016 Zachary C. Lipton
1
+ Equality of Opportunity in Supervised Learning 2016 Moritz Hardt
Eric Price
Nathan Srebro
1
+ PDF Chat Crowdsourcing Ground Truth for Medical Relation Extraction 2018 Anca Dumitrache
Lora Aroyo
Chris Welty
1
+ Towards A Rigorous Science of Interpretable Machine Learning 2017 Finale Doshi‐Velez
Been Kim
1
+ On Calibration of Modern Neural Networks 2017 Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
1
+ Exchangeability and related topics 1985 David Aldous
1
+ Interpretable and Explorable Approximations of Black Box Models 2017 Himabindu Lakkaraju
Ece Kamar
Rich Caruana
Jure Leskovec
1
+ Neural-Symbolic Learning and Reasoning: A Survey and Interpretation 2017 Tarek R. Besold
Artur S. d’Avila Garcez
Sebastian Bader
Howard Bowman
Pedro Domingos
Pascal Hitzler
Kai-Uwe KĂŒehnberger
LuĂ­s C. Lamb
Daniel Lowd
Priscila Machado Vieira Lima
1
+ PDF Chat Capturing Ambiguity in Crowdsourcing Frame Disambiguation 2018 Anca Dumitrache
Lora Aroyo
Chris Welty
1
+ Know What You Don't Know: Unanswerable Questions for SQuAD 2018 Pranav Rajpurkar
Robin Jia
Percy Liang
1
+ Construction of the Literature Graph in Semantic Scholar 2018 Waleed Ammar
Dirk Groeneveld
Chandra Bhagavatula
Iz Beltagy
Miles Crawford
Doug Downey
Jason Dunkelberger
Ahmed Elgohary
Sergey Feldman
Vu Ha
1
+ PDF Chat Grounding Visual Explanations 2018 Lisa Anne Hendricks
Ronghang Hu
Trevor Darrell
Zeynep Akata
1
+ PDF Chat Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation 2018 Samuel LĂ€ubli
Rico Sennrich
Martin Volk
1
+ PDF Chat Efficient Online Scalar Annotation with Bounded Support 2018 Keisuke Sakaguchi
Benjamin Van Durme
1
+ NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles. 2019 Jeppe NĂžrregaard
Benjamin D. Horne
Sibel Adalı
1
+ PDF Chat A Crowdsourced Frame Disambiguation Corpus with Ambiguity 2019 Anca Dumitrache
Lora Aroyo
Chris Welty
1
+ Ex Machina: Personal Attacks Seen at Scale 2016 Ellery Wulczyn
Nithum Thain
Lucas Dixon
1
+ Understanding Black-box Predictions via Influence Functions 2017 Pang Wei Koh
Percy Liang
1
+ Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing 2018 Quan Ze Chen
Jonathan Bragg
Lydia B. Chilton
Daniel S. Weld
1
+ PDF Chat NELA-GT-2018: A Large Multi-Labelled News Dataset for the Study of Misinformation in News Articles 2019 Jeppe NĂžrregaard
Benjamin D. Horne
Sibel Adalı
1
+ PDF Chat Finding Convincing Arguments Using Scalable Bayesian Preference Learning 2018 Edwin Simpson
Iryna Gurevych
1
+ A Unified Approach to Interpreting Model Predictions 2017 Scott Lundberg
Su‐In Lee
1
+ Explanation in artificial intelligence: Insights from the social sciences 2018 Tim Miller
1
+ Know What You Don’t Know: Unanswerable Questions for SQuAD 2018 Pranav Rajpurkar
Robin Jia
Percy Liang
1
+ Causes and Explanations: A Structural-Model Approach 2000 Joseph Y. Halpern
Judea Pearl
1
+ Capturing Ambiguity in Crowdsourcing Frame Disambiguation 2018 Anca Dumitrache
Lora Aroyo
Chris Welty
1
+ PDF Chat A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations 2017 Josua Krause
Aritra Dasgupta
Jordan Swartz
Yindalon Aphinyanaphongs
Enrico Bertini
1
+ Quantifying Facial Age by Posterior of Age Comparisons 2017 Yunxuan Zhang
Li Liu
Cheng Li
Chen Change Loy
1
+ Learning continuous time bayesian networks 2002 Uri Nodelman
Christian R. Shelton
Daphne Koller
1
+ PDF Chat Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling 2016 Svetlana Kiritchenko
Saif M. Mohammad
1
+ Feature Engineering for Knowledge Base Construction. 2014 Christopher RĂ©
Amir Abbas Sadeghian
Zifei Shan
Jaeho Shin
Feiran Wang
Sen Wu
Ce Zhang
1
+ Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets 2019 Mor Geva
Yoav Goldberg
Jonathan Berant
1
+ Pretrained Language Models for Sequential Sentence Classification 2019 Arman Cohan
Iz Beltagy
Daniel King
Bhavana Dalvi
Dan Weld
1
+ Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets 2019 Mor Geva
Yoav Goldberg
Jonathan Berant
1
+ Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks 2019 Nils Reimers
Iryna Gurevych
1
+ Metrology for AI: From Benchmarks to Instruments 2019 Chris Welty
Praveen Paritosh
Lora Aroyo
1
+ PDF Chat Rank Aggregation via Heterogeneous Thurstone Preference Models 2020 Tao Jin
Pan Xu
Quanquan Gu
Farzad Farnoud
1
+ MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers 2020 Wenhui Wang
Furu Wei
Li Dong
Hangbo Bao
Nan Yang
Ming Zhou
1
+ MPNet: Masked and Permuted Pre-training for Language Understanding 2020 Kaitao Song
Xu Tan
Tao Qin
Jianfeng Lu
Tie‐Yan Liu
1