Papers
Training Complex Models with Multi-Task Weak Supervision
Alexander Ratner, Braden Hancock, Jared Dunnmon et al.
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content
Sepideh Mesbah, Jie Yang, Robert-Jan Sips et al.
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content
Sepideh Mesbah, Jie Yang, Robert-Jan Sips et al.
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior
Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun
Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions
Daniel Toth, Serkan Cimen, Pascal Ceccaldi et al.
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
Chenglin Yang, Lingxi Xie, Siyuan Qiao et al.
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Y. Xiao, Vincent Tjeng, Nur Muhammad (Mahi) Shafiullah et al.
Training Hybrid Language Models by Marginalizing over Segmentations
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski et al.
Training Image Estimators without Image Ground Truth
Zhihao Xia, Ayan Chakrabarti
Training Language GANs from Scratch
Cyprien de Masson d'Autume, Shakir Mohamed, Mihaela Rosca et al.
Training Multi-Speaker Neural Text-to-Speech Systems Using Speaker-Imbalanced Speech Corpora
Hieu-Thi Luong, Xin Wang, Junichi Yamagishi et al.
Training Neural Machine Translation to Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico et al.
Training Neural Networks with Local Error Signals
Arild Nøkland, Lars Hiller Eidnes
Training Neural Response Selection for Task-Oriented Dialogue Systems
Matthew Henderson, Ivan Vulić, Daniela Gerz et al.
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein et al.
Training Temporal Word Embeddings with a Compass
Valerio Di Carlo, Federico Bianchi, Matteo Palmonari
Training Variational Autoencoders with Buffered Stochastic Variational Inference
Rui Shu, Hung Bui, Jay Whang et al.
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Andrew Cotter, Maya Gupta, Heinrich Jiang et al.
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
Lahari Poddar, Leonardo Neves, William Brendel et al.
Train, Sort, Explain: Learning to Diagnose Translation Models
Robert Schwarzenberg, David Harbecke, Vivien Macketanz et al.
Trajectory-Based Off-Policy Deep Reinforcement Learning
Andreas Doerr, Michael Volpp, Marc Toussaint et al.
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
Clarice Poon, Jingwei Liang
Trajectory Optimization for Cable-Driven Soft Robot Locomotion
James Bern, Pol Banzet, Roi Poranne et al.
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach
Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard et al.
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
Ching-An Cheng, Xinyan Yan, Byron Boots