Papers
Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification
Abdellah El Mekki, Ahmed Alami, Hamza Alami et al.
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information
T. Tony Cai, Tengyuan Liang, Alexander Rakhlin
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Gregory Farquhar, Bei Peng et al.
Weighted-Sampling Audio Adversarial Example Attack
Xiaolei Liu, Kun Wan, Yufei Ding et al.
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
Dimitrios Sarigiannis, Thomas Parnell, Haralampos Pozidis
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks
Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu et al.
WeightNet: Revisiting the Design Space of Weight Networks
Ningning Ma, Xiangyu Zhang, Jiawei Huang et al.
Weight Poisoning Attacks on Pretrained Models
Keita Kurita, Paul Michel, Graham Neubig
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
Christopher Morris, Gaurav Rattan, Petra Mutzel
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning
Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast et al.
Well-Structured Committees
Sushmita Gupta, Pallavi Jain, Saket Saurabh
WER we are and WER we think we are
Piotr Szymański, Piotr Żelasko, Mikolaj Morzy et al.
WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers
Ahmed Sultan, Mahmoud Salim, Amina Gaber et al.
WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers
Ahmed Sultan, Mahmoud Salim, Amina Gaber et al.
Weston-Watkins Hinge Loss and Ordered Partitions
Yutong Wang, Clayton Scott
WG-WaveNet: Real-Time High-Fidelity Speech Synthesis Without GPU
Po-chun Hsu, Hung-yi Lee
What Are People Asking About COVID-19? A Question Classification Dataset
Jerry Wei, Chengyu Huang, Soroush Vosoughi et al.
What are the Goals of Distributional Semantics?
Guy Emerson
What Are You Trying to Do? Semantic Typing of Event Processes
Muhao Chen, Hongming Zhang, Haoyu Wang et al.
What Are You Trying to Do? Semantic Typing of Event Processes
Muhao Chen, Hongming Zhang, Haoyu Wang et al.
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong, Yang Cong, Gan Sun et al.
What can I do here? A Theory of Affordances in Reinforcement Learning
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici et al.
What Can Learned Intrinsic Rewards Capture?
Zeyu Zheng, Junhyuk Oh, Matteo Hessel et al.
What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang et al.
What Can We Do to Improve Peer Review in NLP?
Anna Rogers, Isabelle Augenstein