Papers
11,015 papers found
Whitening and Coloring Batch Transform for GANs
Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe
Wizard of Wikipedia: Knowledge-Powered Conversational Agents
Emily Dinan, Stephen Roller, Kurt Shuster et al.
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing, Theophane Weber, Yori Zwols et al.
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel L. Smith and Quoc V. Le
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
Sanjeev Arora, Mikhail Khodak, Nikunj Saunshi et al.
Action-dependent Control Variates for Policy Optimization via Stein Identity
Hao Liu*, Yihao Feng*, Yi Mao et al.
Activation Maximization Generative Adversarial Nets
Zhiming Zhou, Han Cai, Shu Rong et al.
Active Learning for Convolutional Neural Networks: A Core-Set Approach
Ozan Sener, Silvio Savarese
Active Neural Localization
Devendra Singh Chaplot, Emilio Parisotto, Ruslan Salakhutdinov
Adaptive Dropout with Rademacher Complexity Regularization
Ke Zhai, Huan Wang
Adaptive Quantization of Neural Networks
Soroosh Khoram, Jing Li
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus, Caiming Xiong, Richard Socher
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu, Hung Bui, Hirokazu Narui et al.
Adversarial Dropout Regularization
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada et al.
A Framework for the Quantitative Evaluation of Disentangled Representations
Cian Eastwood, Christopher K. I. Williams
A Hierarchical Model for Device Placement
Azalia Mirhoseini, Anna Goldie, Hieu Pham et al.
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
Jiaqi Mu, Pramod Viswanath
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu, Jianqiang Yao, Zhouchen Lin et al.
AmbientGAN: Generative models from lossy measurements
Ashish Bora, Eric Price, Alexandros G. Dimakis
An efficient framework for learning sentence representations
Lajanugen Logeswaran, Honglak Lee
A Neural Representation of Sketch Drawings
David Ha, Douglas Eck
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.
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro