Papers
Which Ones Are Speaking? Speaker-Inferred Model for Multi-Talker Speech Separation
Jing Shi, Jiaming Xu, Bo Xu
Whisper to Neutral Mapping Using Cosine Similarity Maximization in i-Vector Space for Speaker Verification
Abinay Reddy Naini, Achuth Rao M.V., Prasanta Kumar Ghosh
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid et al.
Whitening and Coloring Batch Transform for GANs
Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Yotam Gil, Yoav Chai, Or Gorodissky et al.
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
Shuailong Liang, Olivia Nicol, Yue Zhang
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota et al.
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations
Ran Le, Wenpeng Hu, Mingyue Shang et al.
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations
Ran Le, Wenpeng Hu, Mingyue Shang et al.
Who Needs Words? Lexicon-Free Speech Recognition
Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
Who Said That?: Audio-Visual Speaker Diarisation of Real-World Meetings
Joon Son Chung, Bong-Jin Lee, Icksang Han
Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates
Sebastian Padó, Andre Blessing, Nico Blokker et al.
Who wrote this book? A challenge for e-commerce
Béranger Dumont, Simona Maggio, Ghiles Sidi Said et al.
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi, Chen Gao, Joseph C. E. Messou et al.
Why Can’t You Do That HAL? Explaining Unsolvability of Planning Tasks
Sarath Sreedharan, Siddharth Srivastava, David Smith et al.
Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
Varun Kumar, Alison Smith-Renner, Leah Findlater et al.
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay, Yair Weiss
Why Does a Visual Question Have Different Answers?
Nilavra Bhattacharya, Qing Li, Danna Gurari
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem
Alon Brutzkus, Amir Globerson
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
Mohammad Taher Pilehvar, Jose Camacho-Collados
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs
Qi Zhang, Antoni B. Chan
Wide-Context Semantic Image Extrapolation
Yi Wang, Xin Tao, Xiaoyong Shen et al.