Papers
11,951 papers found
A New Method of Region Embedding for Text Classification
chao qiao, bo huang, guocheng niu et al.
An image representation based convolutional network for DNA classification
Bojian Yin, Marleen Balvert, Davide Zambrano et al.
An Online Learning Approach to Generative Adversarial Networks
Paulina Grnarova, Kfir Y Levy, Aurelien Lucchi et al.
An Ultrasound Study of Gemination in Coronal Stops in Eastern Oromo
Maida Percival, Alexei Kochetov, Yoonjung Kang
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra, Debbie Marr
Approximate Nearest Neighbors in Limited Space
Piotr Indyk, Tal Wagner
Articulatory Consequences of Vocal Effort Elicitation Method
Elisabet Eir Cortes, Marcin Wlodarczak, Juraj Šimko
A Scalable Laplace Approximation for Neural Networks
Hippolyt Ritter, Aleksandar Botev, David Barber
A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer
Tianbao Yang, Zhe Li, Lijun Zhang
A Simple Neural Attentive Meta-Learner
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen et al.
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
Christian Buck, Jannis Bulian, Massimiliano Ciaramita et al.
Attacking Binarized Neural Networks
Angus Galloway, Graham W. Taylor, Medhat Moussa
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
Yi Zhou, Zimo Li, Shuangjiu Xiao et al.
Auto-Encoding Sequential Monte Carlo
Tuan Anh Le, Maximilian Igl, Tom Rainforth et al.
Automatically Inferring Data Quality for Spatiotemporal Forecasting
Sungyong Seo, Arash Mohegh, George Ban-Weiss et al.
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl, Dami Choi, Yuhuai Wu et al.
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson, Risto Miikkulainen
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
W. James Murdoch, Peter J. Liu, Bin Yu
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
Tao Shen, Tianyi Zhou, Guodong Long et al.
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
Nadav Cohen, Ronen Tamari, Amnon Shashua
Boosting the Actor with Dual Critic
Bo Dai, Albert Shaw, Niao He et al.
Boundary Seeking GANs
R Devon Hjelm, Athul Paul Jacob, Adam Trischler et al.
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov et al.