Papers
Who Likes What? — SplitLBI in Exploring Preferential Diversity of Ratings
Qianqian Xu, Jiechao Xiong, Zhiyong Yang et al.
“Who said it, and Why?” Provenance for Natural Language Claims
Yi Zhang, Zachary Ives, Dan Roth
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
Pratyush Maini, Keshav Kolluru, Danish Pruthi et al.
Why are Adaptive Methods Good for Attention Models?
Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit et al.
Why Are Deep Representations Good Perceptual Quality Features?
Taimoor Tariq, Okan Tarhan Tursun, Munchurl Kim et al.
Why Are Learned Indexes So Effective?
Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra
Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma
Why bigger is not always better: on finite and infinite neural networks
Laurence Aitchison
Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data
Rosa González Hautamäki, Tomi Kinnunen
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective
Kaixuan Huang, Yuqing Wang, Molei Tao et al.
Why do These Match? Explaining the Behavior of Image Similarity Models
Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk et al.
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner, Ivan Habernal, Iryna Gurevych
Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity
Jingzhao Zhang, Tianxing He, Suvrit Sra et al.
Why Having 10,000 Parameters in Your Camera Model Is Better Than Twelve
Thomas Schops, Viktor Larsson, Marc Pollefeys et al.
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Polina Kirichenko, Pavel Izmailov, Andrew G Wilson
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks
Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim et al.
Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul et al.
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers
Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh et al.
Why We Go Where We Go: Profiling User Decisions on Choosing POIs
Renjun Hu, Xinjiang Lu, Chuanren Liu et al.
Wide Hidden Expansion Layer for Deep Convolutional Neural Networks
Min Wang, Baoyuan Liu, Hassan Foroosh
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes
Devanshu Agrawal, Theodore Papamarkou, Jacob Hinkle
Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements
Yang Li, Gang Li, Luheng He et al.
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
Faisal Ladhak, Esin Durmus, Claire Cardie et al.