John Canny

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All published works

Action	Title	Year	Authors
+	Low-Resourced Languages and Online Knowledge Repositories: A Need-Finding Study.	2024	Hellina Hailu Nigatu John Canny Sarah Chasins
+ PDF Chat	ALOHa: A New Measure for Hallucination in Captioning Models	2024	Suzanne Petryk David M. Chan Anish Kachinthaya Haodi Zou John Canny Joseph E. Gonzalez Trevor Darrell
+ PDF Chat	A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts	2024	Kuang-Huei Lee Xinyun Chen Hiroki Furuta John Canny Ian S. Fischer
+ PDF Chat	ALOHa: A New Measure for Hallucination in Captioning Models	2024	Suzanne Petryk David W. Chan Anish Kachinthaya Haodi Zou John Canny Joseph E. Gonzalez Trevor Darrell
+	IC3: Image Captioning by Committee Consensus	2023	David M. Chan Austin Myers Sudheendra Vijayanarasimhan David A. Ross John Canny
+ PDF Chat	An Embedding-Dynamic Approach to Self-Supervised Learning	2023	Suhong Moon Domas Buracas Seunghyun Park Jinkyu Kim John Canny
+	CLAIR: Evaluating Image Captions with Large Language Models	2023	David M. Chan Suzanne Petryk Joseph E. Gonzalez Trevor Darrell John Canny
+	Moral Foundations of Large Language Models	2023	Marwa Abdulhai Gregory Serapio‐García Clément Crepy Daria Valter John Canny Natasha Jaques
+ PDF Chat	IC3: Image Captioning by Committee Consensus	2023	David W. Chan Austin Myers Sudheendra Vijayanarasimhan David A. Ross John Canny
+ PDF Chat	CLAIR: Evaluating Image Captions with Large Language Models	2023	David M. Chan Suzanne Petryk Joseph E. Gonzalez Trevor Darrell John Canny
+ PDF Chat	What’s in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics	2022	David M. Chan Austin Myers Sudheendra Vijayanarasimhan David A. Ross Bryan Seybold John Canny
+	NewsPod: Automatic and Interactive News Podcasts	2022	Philippe Laban E. Ye Srujay Korlakunta John Canny Marti A. Hearst
+ PDF Chat	Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making	2022	Daniel Seita Nawid Jamali Michael Laskey Ajay Kumar Tanwani Ron Berenstein Prakash Baskaran Soshi Iba John Canny Ken Goldberg
+	Learning Causal Overhypotheses through Exploration in Children and Computational Models	2022	Eliza Kosoy Adrian Liu Jasmine D. Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H. Huang Bryanna Kaufmann John Canny Alison Gopnik
+	Misinformation Detection in Social Media Video Posts	2022	Kehan Wang David Chan Seth Z. Zhao John Canny Avideh Zakhor
+	What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics	2022	David M. Chan Austin Myers Sudheendra Vijayanarasimhan David A. Ross Bryan Seybold John Canny
+	Towards Understanding How Machines Can Learn Causal Overhypotheses	2022	Eliza Kosoy David M. Chan Adrian Liu Jasmine D. Collins Bryanna Kaufmann Sandy H. Huang Jessica B. Hamrick John Canny Nan Rosemary Ke Alison Gopnik
+	An Embedding-Dynamic Approach to Self-supervised Learning	2022	Suhong Moon Domas Buracas Seunghyun Park Jinkyu Kim John Canny
+	LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training	2022	Sumanth Gurram Andy Fang David Chan John Canny
+	Distribution Aware Metrics for Conditional Natural Language Generation	2022	David M. Chan Yiming Ni Austin Myers Sudheendra Vijayanarasimhan David A. Ross John Canny
+	Compressive Visual Representations	2021	Kuang-Huei Lee Anurag Arnab Sergio Guadarrama John Canny Ian Fischer
+	Compressive Visual Representations	2021	Kuang-Huei Lee Anurag Arnab Sergio Guadarrama John Canny Ian Fischer
+ PDF Chat	Active Learning for Video Description with Cluster-Regularized Ensemble Ranking	2021	David M. Chan Sudheendra Vijayanarasimhan David A. Ross John Canny
+	DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning	2021	Daniel Seita Abhinav Gopal Zhao Mandi John Canny
+	Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models	2021	Forrest Huang Gang Li Xin Zhou John Canny Li Yang
+ PDF Chat	Sketch-Based Creativity Support Tools Using Deep Learning	2021	Forrest Huang Eldon Schoop David Ha Jeffrey Nichols John Canny
+ PDF Chat	Artificial Intelligence for Human Computer Interaction: A Modern Approach	2021	Forrest Huang Eldon Schoop David Ha Jeffrey Nichols John Canny
+	Compressive Visual Representations	2021	Kuang-Huei Lee Anurag Arnab Sergio Guadarrama John Canny Ian Fischer
+ PDF Chat	Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor	2020	Daniel Seita Aditya Ganapathi Ryan Hoque Minho Hwang Edward Cen Ajay Kumar Tanwani Ashwin Balakrishna Brijen Thananjeyan Jeffrey Ichnowski Nawid Jamali
+	Active Learning for Video Description With Cluster-Regularized Ensemble Ranking	2020	David M. Chan Sudheendra Vijayanarasimhan David A. Ross John Canny
+ PDF Chat	Active Learning for Video Description With Cluster-Regularized Ensemble Ranking	2020	David M. Chan Sudheendra Vijayanarasimhan David A. Ross John Canny
+	Exploring Exploration: Comparing Children with RL Agents in Unified Environments.	2020	Eliza Kosoy Jasmine Collins David M. Chan Jessica B. Hamrick Sandy H. Huang Alison Gopnik John Canny
+	Measuring the Reliability of Reinforcement Learning Algorithms	2020	Stephanie C. Y. Chan Anoop Korattikara Sam Fishman John Canny Sergio Guadarrama
+	Scones	2020	Forrest Huang Eldon Schoop David Ha John Canny
+ PDF Chat	Periphery-Fovea Multi-Resolution Driving Model Guided by Human Attention	2020	Ye Xia Jinkyu Kim John Canny Karl Zipser Teresa Cañas-Bajo David Whitney
+	A Dataset and Benchmarks for Multimedia Social Analysis	2020	Bofan Xue David M. Chan John Canny
+	What’s The Latest? A Question-driven News Chatbot	2020	Philippe Laban John Canny Marti A. Hearst
+	Predictive Information Accelerates Learning in RL	2020	Kuang-Huei Lee Ian Fischer Anthony Liu Yijie Guo Honglak Lee John Canny Sergio Guadarrama
+	The Summary Loop: Learning to Write Abstractive Summaries Without Examples	2020	Philippe Laban Andrew Hsi John Canny Marti A. Hearst
+	Active Learning for Video Description With Cluster-Regularized Ensemble Ranking	2020	David M. Chan Sudheendra Vijayanarasimhan David A. Ross John Canny
+	Exploring Exploration: Comparing Children with RL Agents in Unified Environments	2020	Eliza Kosoy Jasmine D. Collins David M. Chan Sandy H. Huang Deepak Pathak Pulkit Agrawal John Canny Alison Gopnik Jessica B. Hamrick
+	Evaluating Protein Transfer Learning with TAPE	2019	Roshan Rao Nicholas Bhattacharya Neil Thomas Yan Duan Xi Chen John Canny Pieter Abbeel Yun S. Song
+ PDF Chat	Grounding Human-To-Vehicle Advice for Self-Driving Vehicles	2019	Jinkyu Kim Teruhisa Misu Yi-Ting Chen Ashish Tawari John Canny
+ PDF Chat	Risk Averse Robust Adversarial Reinforcement Learning	2019	Xinlei Pan Daniel Seita Yang Gao John Canny
+	Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention	2019	Ye Xia Jinkyu Kim John Canny Karl Zipser David Whitney
+	Risk Averse Robust Adversarial Reinforcement Learning	2019	Xinlei Pan Daniel Seita Yang Gao John Canny
+	Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications	2019	Forrest Huang John Canny
+	Evaluating Protein Transfer Learning with TAPE	2019	Roshan Rao Nicholas Bhattacharya Neil Thomas Yan Duan Peter Chen John Canny Pieter Abbeel Yun S. Song
+	ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations	2019	Daniel Seita David M. Chan Roshan Rao Chen Tang Zhao Mandi John Canny
+	Grounding Human-to-Vehicle Advice for Self-driving Vehicles	2019	Jinkyu Kim Teruhisa Misu Yi-Ting Chen Ashish Tawari John Canny
+	Measuring the Reliability of Reinforcement Learning Algorithms	2019	Stephanie C. Y. Chan Samuel Fishman John Canny Anoop Korattikara Sergio Guadarrama
+	Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor	2019	Daniel Seita Aditya Ganapathi Ryan Hoque Minho Hwang Edward Cen Ajay Kumar Tanwani Ashwin Balakrishna Brijen Thananjeyan Jeffrey Ichnowski Nawid Jamali
+	Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric.	2018	Daniel Seita Nawid Jamali Michael Laskey Ron Berenstein Ajay Kumar Tanwani Prakash Baskaran Soshi Iba John Canny Ken Goldberg
+ PDF Chat	T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data	2018	David M. Chan Roshan Rao Forrest Huang John Canny
+	t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data	2018	David M. Chan Roshan Rao Forrest Huang John Canny
+	An Efficient Minibatch Acceptance Test for Metropolis-Hastings	2018	Daniel Seita Xinlei Pan Haoyu Chen John Canny
+ PDF Chat	Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure	2018	Daniel Seita Sanjay Krishnan Roy Fox Stephen McKinley John Canny Ken Goldberg
+ PDF Chat	Textual Explanations for Self-Driving Vehicles	2018	Jinkyu Kim Anna Rohrbach Trevor Darrell John Canny Zeynep Akata
+	Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data	2018	Xinlei Pan Sung-Li Chiang John Canny
+	Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics	2018	Biye Jiang David M. Chan Tianhao Zhang John Canny
+	Textual Explanations for Self-Driving Vehicles	2018	Jinkyu Kim Anna Rohrbach Trevor Darrell John Canny Zeynep Akata
+	Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making	2018	Daniel Seita Nawid Jamali Michael Laskey Ajay Kumar Tanwani Ron Berenstein Prakash Baskaran Soshi Iba John Canny Ken Goldberg
+	t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data	2018	David M. Chan Roshan Rao Forrest Huang John Canny
+ PDF Chat	Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention	2017	Jinkyu Kim John Canny
+ PDF Chat	General Models for Rational Cameras and the Case of Two-Slit Projections	2017	Matthew Trager Bernd Sturmfels John Canny Martial Hebert Jean Ponce
+	Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention	2017	Jinkyu Kim John Canny
+	Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure	2017	Daniel Seita Sanjay Krishnan Roy Fox Stephen McKinley John Canny Ken Goldberg
+	An Efficient Minibatch Acceptance Test for Metropolis-Hastings.	2017	Daniel Seita Xinlei Pan Haoyu Chen John Canny
+	An Efficient Minibatch Acceptance Test for Metropolis-Hastings	2016	Daniel Seita Xinlei Pan Haoyu Chen John Canny
+	An Efficient Minibatch Acceptance Test for Metropolis-Hastings	2016	Daniel Seita Xinlei Pan Haoyu Chen John Canny
+	General models for rational cameras and the case of two-slit projections	2016	Matthew Trager Bernd Sturmfels John Canny Martial Hebert Jean Ponce
+	Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks	2015	Daniel Seita Haoyu Chen John Canny
+	SAME but Different: Fast and High-Quality Gibbs Parameter Estimation	2014	Huasha Zhao Biye Jiang John Canny
+	Sparse Allreduce: Efficient Scalable Communication for Power-Law Data	2013	Huasha Zhao John Canny
+	Some practical tools for algebraic geometry	2012	John Canny
+ PDF Chat	SPRING	2010	Anuj Tewari Nitesh Goyal Matthew K. Chan T. Y. Yau John Canny Ulrik Schroeder
+	How to deal with malicious users in privacy‐preserving distributed data mining	2009	Yitao Duan John Canny
+	Practical private computation of vector addition-based functions	2007	Yitao Duan John Canny
+	Practical Private Computation of Vector Addition- Based Functions or: Can Privacy be for Free?	2006	John Canny Yitao Duan
+ PDF Chat	A subdivision-based algorithm for the sparse resultant	2000	John Canny Ioannis Z. Emiris
+ PDF Chat	A General Approach to Removing Degeneracies	1995	Ioannis Z. Emiris John Canny
+	A practical algorithm for geometric theorem proving	1995	Ashutosh Rege John Canny
+	An Algorithm for the Newton Resultant	1993	John Canny Paul Pedersen
+ PDF Chat	Improved Algorithms for Sign Determination and Existential Quantifier Elimination	1993	John Canny
+ PDF Chat	An efficient algorithm for the sparse mixed resultant	1993	John Canny Ioannis Z. Emiris
+ PDF Chat	Finding connected components of a semialgebraic set in subexponential time	1992	John Canny D. Yu. Grigor'ev Nicolai Vorobjov
+	Multipolynomial resultants and linear algebra	1992	Dinesh Manocha John Canny
+ PDF Chat	Finding connected components of a semi-algebraic set in subexponential time	1992	John Canny Dima Grigoriev Nicolai Vorobjov
+ PDF Chat	Efficient techniques for multipolynomial resultant algorithms	1991	Dinesh Manocha John Canny
+	An optimal condition for determining the exact number of roots of a polynomial system	1991	John Canny J. Maurice Rojas
+	An improved sign determination algorithm	1991	John Canny
+	Detecting Cusps and Inflection Points in Curves	1991	Dinesh Manocha John Canny
+	Generalised characteristic polynomials	1990	John Canny
+	On the “Piano Movers” series by Schwartz, Sharir, and Ariel-Sheffi	1989	John Canny
+	Generalized characteristic polynomials	1989	John Canny

Common Coauthors

Coauthor	Papers Together
Daniel Seita	16
David M. Chan	11
Jinkyu Kim	10
David M. Chan	10
Sudheendra Vijayanarasimhan	9
Forrest Huang	8
Ken Goldberg	7
Roshan Rao	6
Sergio Guadarrama	6
Xinlei Pan	6
Trevor Darrell	6
Ajay Kumar Tanwani	5
Austin Myers	5
David A. Ross	5
Soshi Iba	5
Nawid Jamali	5
Kuang-Huei Lee	5
Sandy H. Huang	4
David A. Ross	4
Suzanne Petryk	4
Ian Fischer	4
Haoyu Chen	4
Jessica B. Hamrick	4
Joseph E. Gonzalez	4
Eliza Kosoy	4
Alison Gopnik	4
Prakash Baskaran	3
Jasmine D. Collins	3
Michael Laskey	3
Yitao Duan	3
David Ha	3
Marti A. Hearst	3
Ioannis Z. Emiris	3
Anurag Arnab	3
Ron Berenstein	3
Dinesh Manocha	3
Eldon Schoop	3
Philippe Laban	3
Adrian Liu	2
Aditya Ganapathi	2
Bernd Sturmfels	2
Minho Hwang	2
Anish Kachinthaya	2
Yun S. Song	2
Brijen Thananjeyan	2
Biye Jiang	2
Nicholas Bhattacharya	2
Zeynep Akata	2
Huasha Zhao	2
Bryan Seybold	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	12
+ PDF Chat	CIDEr: Consensus-based image description evaluation	2015	Ramakrishna Vedantam C. Lawrence Zitnick Devi Parikh	8
+	End to End Learning for Self-Driving Cars	2016	Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Müller Jiakai Zhang	7
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	7
+ PDF Chat	End-to-End Learning of Driving Models from Large-Scale Video Datasets	2017	Huazhe Xu Yang Gao Fisher Yu Trevor Darrell	7
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	6
+	A Neural Representation of Sketch Drawings	2017	David Ha Douglas Eck	5
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	5
+	Noisy Networks For Exploration	2018	Meire Fortunato Mohammad Gheshlaghi Azar Bilal Piot Jacob Menick Ian Osband Alexander Graves Vlad Mnih Rémi Munos Demis Hassabis Olivier Pietquin	4
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	4
+ PDF Chat	Dense-Captioning Events in Videos	2017	Ranjay Krishna Kenji Hata Frederic Ren Li Fei-Fei Juan Carlos Niebles	4
+ PDF Chat	Deep Haptic Model Predictive Control for Robot-Assisted Dressing	2018	Zackory Erickson Henry Clever Greg Turk C. Karen Liu Charles C. Kemp	4
+	CAD2RL: Real Single-Image Flight Without a Single Real Image	2017	Fereshteh Sadeghi Sergey Levine	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	4
+ PDF Chat	Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention	2017	Jinkyu Kim John Canny	4
+	VisualBackProp: visualizing CNNs for autonomous driving.	2016	Mariusz Bojarski Anna Choromanska Krzysztof Choromański Bernhard Firner Larry Jackel Urs Müller Karol Zieba	4
+	Learning Transferable Visual Models From Natural Language Supervision	2021	Alec Radford Jong Wook Kim Chris Hallacy Aditya Ramesh Gabriel Goh Sandhini Agarwal Girish Sastry Amanda Askell Pamela Mishkin Jack Clark	3
+	OpenAI Gym	2016	Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	Deep Exploration via Bootstrapped DQN	2016	Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy	3
+	The number of roots of a system of equations	1979	D. N. Bernshtein	3
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	3
+ PDF Chat	Sequence to Sequence -- Video to Text	2015	Subhashini Venugopalan Marcus Rohrbach Jeffrey Donahue Raymond J. Mooney Trevor Darrell Kate Saenko	3
+ PDF Chat	Video Summarization with Long Short-Term Memory	2016	Ke Zhang Wei‐Lun Chao Fei Sha Kristen Grauman	3
+	Rainbow: Combining Improvements in Deep Reinforcement Learning	2017	Matteo Hessel Joseph Modayil Hado van Hasselt Tom Schaul Georg Ostrovski Will Dabney Daniel Horgan Bilal Piot Mohammad Gheshlaghi Azar David Silver	3
+ PDF Chat	Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents	2018	Marlos C. Machado Marc G. Bellemare Erik Talvitie Joel Veness Matthew Hausknecht Michael Bowling	3
+ PDF Chat	HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips	2019	Antoine Miech Dimitri Zhukov Jean-Baptiste Alayrac Makarand Tapaswi Ivan Laptev Josef Šivic	3
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	3
+	Bayesian Learning via Stochastic Gradient Langevin Dynamics	2011	Max Welling Yee Whye Teh	3
+ 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	3
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	3
+ PDF Chat	Textual Explanations for Self-Driving Vehicles	2018	Jinkyu Kim Anna Rohrbach Trevor Darrell John Canny Zeynep Akata	3
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	3
+	Scalable Discrete Sampling as a Multi-Armed Bandit Problem	2015	Yutian Chen Zoubin Ghahramani	3
+	Newton polytopes and the Bezout theorem	1977	A. G. Kushnirenko	3
+	Resolution des systemes d'equations algebriques	1981	Daniel Lazard	3
+	Newton polyhedra and the genus of complete intersections	1978	Askold Khovanskiĭ	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	Multi-sensor surface analysis for robotic ironing	2016	Yinxiao Li Xiuhan Hu Danfei Xu Yonghao Yue Eitan Grinspun Peter K. Allen	3
+	Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring	2012	Sungjin Ahn Anoop Korattikara Max Welling	3
+	CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication	2019	Jin-Hwa Kim Nikita Kitaev Xinlei Chen Marcus Rohrbach Byoung‐Tak Zhang Yuandong Tian Dhruv Batra Devi Parikh	3
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	3
+	Interpolating polynomials from their values	1990	Richard Zippel	3
+	Know What You Don’t Know: Unanswerable Questions for SQuAD	2018	Pranav Rajpurkar Robin Jia Percy Liang	3
+	Spatial Point Processes	2011	Mark Huber	3
+ PDF Chat	SketchyScene: Richly-Annotated Scene Sketches	2018	Changqing Zou Qian Yu Ruofei Du Haoran Mo Yi-Zhe Song Tao Xiang Chengying Gao Baoquan Chen Hao Zhang	3
+ PDF Chat	Photo-Sketching: Inferring Contour Drawings From Images	2019	Mengtian Li Zhe Lin Radomír Měch Ersin Yumer Deva Ramanan	3
+	None	2002	Arnaud Doucet Simon Godsill Christian P. Robert	2
+	Optimizing the CVaR via sampling	2015	Aviv Tamar Yonatan Glassner Shie Mannor	2