Papers
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
Fahim Dalvi, Nadir Durrani, Hassan Sajjad et al.
What is the Effect of Importance Weighting in Deep Learning?
Jonathon Byrd, Zachary Lipton
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
Jeonghun Baek, Geewook Kim, Junyeop Lee et al.
What Kind of Language Is Hard to Language-Model?
Sabrina J. Mielke, Ryan Cotterell, Kyle Gorman et al.
What made you do this? Understanding black-box decisions with sufficient input subsets
Brandon Carter, Jonas Mueller, Siddhartha Jain et al.
What makes a good conversation? How controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela et al.
What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations
Verónica Pérez-Rosas, Xinyi Wu, Kenneth Resnicow et al.
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
Xiaolei Huang, Jonathan May, Nanyun Peng
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
Xiaolei Huang, Jonathan May, Nanyun Peng
What Object Should I Use? - Task Driven Object Detection
Johann Sawatzky, Yaser Souri, Christian Grund et al.
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons
Ji Xin, Jimmy Lin, Yaoliang Yu
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons
Ji Xin, Jimmy Lin, Yaoliang Yu
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog.
Pushkar Shukla, Carlos Elmadjian, Richika Sharan et al.
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
Irene Li, Alexander R. Fabbri, Robert R. Tung et al.
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach et al.
What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
Tushar Khot, Ashish Sabharwal, Peter Clark
What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
Tushar Khot, Ashish Sabharwal, Peter Clark
What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
Mononito Goswami, Shiven Mian, Jack Mostow
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions
Ehsan Abbasnejad, Qi Wu, Qinfeng Shi et al.
What’s Wrong with Hebrew NLP? And How to Make it Right
Reut Tsarfaty, Shoval Sadde, Stav Klein et al.
What’s Wrong with Hebrew NLP? And How to Make it Right
Reut Tsarfaty, Shoval Sadde, Stav Klein et al.
What Synthesis Is Missing: Depth Adaptation Integrated With Weak Supervision for Indoor Scene Parsing
Keng-Chi Liu, Yi-Ting Shen, Jan P. Klopp et al.
What the Vec? Towards Probabilistically Grounded Embeddings
Carl Allen, Ivana Balazevic, Timothy Hospedales