Papers
Weakly Supervised Dense Event Captioning in Videos
Xuguang Duan, Wenbing Huang, Chuang Gan et al.
Weakly Supervised Facial Action Unit Recognition Through Adversarial Training
Guozhu Peng, Shangfei Wang
Weakly Supervised Instance Segmentation Using Class Peak Response
Yanzhao Zhou, Yi Zhu, Qixiang Ye et al.
Weakly Supervised Learning of Single-Cell Feature Embeddings
Juan C. Caicedo, Claire McQuin, Allen Goodman et al.
Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network
Fang Zhao, Jianshu Li, Jian Zhao et al.
Weakly Supervised Semantic Parsing with Abstract Examples
Omer Goldman, Veronica Latcinnik, Ehud Nave et al.
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang, Shaodi You, Xi Li et al.
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing
Zilong Huang, Xinggang Wang, Jiasi Wang et al.
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification
Li Niu, Ashok Veeraraghavan, Ashutosh Sabharwal
WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition
Yufeng Diao, Hongfei Lin, Di Wu et al.
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations
Erik-Lân Do Dinh, Hannah Wieland, Iryna Gurevych
Weighted Bipolar Argumentation Graphs: Axioms and Semantics
Leila Amgoud, Jonathan Ben-Naim
Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning
Jiyan Yang, Yin-Lam Chow, Christopher Ré et al.
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
Weighting of Coda Voicing Cues: Glottalisation and Vowel Duration
Joshua Penney, Felicity Cox, Anita Szakay
Weighting Pitch Contour and Loudness Contour in Mandarin Tone Perception in Cochlear Implant Listeners
Qinglin Meng, Nengheng Zheng, Ambika Prasad Mishra et al.
Weighting Time-Frequency Representation of Speech Using Auditory Saliency for Automatic Speech Recognition
Cong-Thanh Do, Yannis Stylianou
Weightless: Lossy weight encoding for deep neural network compression
Brandon Reagan, Udit Gupta, Bob Adolf et al.
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang, Bo Chen, Dandan Guo et al.
What Action Causes This? Towards Naive Physical Action-Effect Prediction
Qiaozi Gao, Shaohua Yang, Joyce Chai et al.
What can we learn from Semantic Tagging?
Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar et al.
What do character-level models learn about morphology? The case of dependency parsing
Clara Vania, Andreas Grivas, Adam Lopez
What Do Classifiers Actually Learn? a Case Study on Emotion Recognition Datasets
Patrick Meyer, Eric Buschermöhle, Tim Fingscheidt
What Do Deep Networks Like to See?
Sebastian Palacio, Joachim Folz, Jörn Hees et al.
What do RNN Language Models Learn about Filler–Gap Dependencies?
Ethan Wilcox, Roger Levy, Takashi Morita et al.