Papers
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Chi Jin, Praneeth Netrapalli, Michael Jordan
What is More Likely to Happen Next? Video-and-Language Future Event Prediction
Jie Lei, Licheng Yu, Tamara Berg et al.
“What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence
Venelin Kovatchev, Phillip Smith, Mark Lee et al.
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients
Alvin Chan, Yi Tay, Yew-Soon Ong
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
Xing Xu, Jiefu Chen, Jinhui Xiao et al.
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
Junjie Hu, Yu Cheng, Zhe Gan et al.
What makes fake images detectable? Understanding properties that generalize
Lucy Chai, David Bau, Ser-Nam Lim et al.
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole et al.
What Makes Training Multi-Modal Classification Networks Hard?
Weiyao Wang, Du Tran, Matt Feiszli
What Matters in Unsupervised Optical Flow
Rico Jonschkowski, Austin Stone, Jonathan T. Barron et al.
What Meaning-Form Correlation Has to Compose With: A Study of MFC on Artificial and Natural Language
Timothee Mickus, Timothée Bernard, Denis Paperno
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman, Chiyuan Zhang
What Question Answering can Learn from Trivia Nerds
Jordan Boyd-Graber, Benjamin Börschinger
What relations are reliably embeddable in Euclidean space?
Robi Bhattacharjee, Sanjoy Dasgupta
What shapes feature representations? Exploring datasets, architectures, and training
Katherine Hermann, Andrew Lampinen
What's Hidden in a Randomly Weighted Neural Network?
Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi et al.
What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name?
Sriram Balasubramanian, Naman Jain, Gaurav Jindal et al.
What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models
Wietse de Vries, Andreas van Cranenburgh, Malvina Nissim
What’s The Latest? A Question-driven News Chatbot
Philippe Laban, John Canny, Marti A. Hearst
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS
Brooke Stephenson, Laurent Besacier, Laurent Girin et al.
What time is it? Temporal Analysis of Novels
Allen Kim, Charuta Pethe, Steve Skiena
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context
Ramy Baly, Georgi Karadzhov, Jisun An et al.
What went wrong and when? Instance-wise feature importance for time-series black-box models
Sana Tonekaboni, Shalmali Joshi, Kieran Campbell et al.
What You See is What You Get: Exploiting Visibility for 3D Object Detection
Peiyun Hu, Jason Ziglar, David Held et al.
What You See May Not Be What You Get: UCB Bandit Algorithms Robust to $\varepsilon$-Contamination
Laura Niss, Ambuj Tewari