Papers
What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games
Chun Kai Ling, Fei Fang, J. Zico Kolter
What Have We Learned From Deep Representations for Action Recognition?
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes et al.
What It Takes to Achieve 100% Condition Accuracy on WikiSQL
Semih Yavuz, Izzeddin Gur, Yu Su et al.
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets
De-An Huang, Vignesh Ramanathan, Dhruv Mahajan et al.
What Makes Reading Comprehension Questions Easier?
Saku Sugawara, Kentaro Inui, Satoshi Sekine et al.
What makes us laugh? Investigations into Automatic Humor Classification
Vikram Ahuja, Taradheesh Bali, Navjyoti Singh
What Makes You Stressed? Finding Reasons From Tweets
Reshmi Gopalakrishna Pillai, Mike Thelwall, Constantin Orasan
What represents “style” in authorship attribution?
Kalaivani Sundararajan, Damon Woodard
What’s Going On in Neural Constituency Parsers? An Analysis
David Gaddy, Mitchell Stern, Dan Klein
What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
Yitong Li, Timothy Baldwin, Trevor Cohn
What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers, Shashwath Hosur Ananthakrishna, Anna Rumshisky
What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis
Philip John Gorinski, Mirella Lapata
What to Expect from Expected Kneser-Ney Smoothing
Michael Levit, Sarangarajan Parthasarathy, Shuangyu Chang
What type of happiness are you looking for? - A closer look at detecting mental health from language
Alina Arseniev-Koehler, Sharon Mozgai, Stefan Scherer
What we need to learn if we want to do and not just talk
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, German Kruszewski, Guillaume Lample et al.
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?
Ye Qi, Devendra Sachan, Matthieu Felix et al.
When data permutations are pathological: the case of neural natural language inference
Natalie Schluter, Daniel Varab
When does deep multi-task learning work for loosely related document classification tasks?
Emma Kerinec, Chloé Braud, Anders Søgaard
When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing?
Richard Cole, Thanasis Lianeas, Evdokia Nikolova
When do random forests fail?
Cheng Tang, Damien Garreau, Ulrike von Luxburg
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Ding Liu, Bihan Wen, Xianming Liu et al.
When is a Convolutional Filter Easy to Learn?
Simon S. Du, Jason D. Lee, Yuandong Tian
When Rigging a Tournament, Let Greediness Blind You
Sushmita Gupta, Sanjukta Roy, Saket Saurabh et al.
When science journalism meets artificial intelligence : An interactive demonstration
Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu et al.