Deep Learning

Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization ICML 2020 Stochastic Latent Residual Video Prediction ICML 2020 Stochastic Loss Function AAAI 2020 Stochastic Neural Network with Kronecker Flow AISTATS 2020 Stochastic Normalization NeurIPS 2020 Stochastic Optimization with Laggard Data Pipelines NeurIPS 2020 Stochastic Talking Face Generation Using Latent Distribution Matching Interspeech 2020 Stochastic Variational Inference for Dynamic Correlated Topic Models UAI 2020 Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well ICLR 2020 Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization ACL 2020 Stolen Probability: A Structural Weakness of Neural Language Models ACL 2020 STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation EMNLP 2020 Story Embedding: Learning Distributed Representations of Stories based on Character Networks (Extended Abstract) IJCAI 2020 Story-level Text Style Transfer: A Proposal ACL 2020 Story Realization: Expanding Plot Events into Sentences AAAI 2020 Storytelling from an Image Stream Using Scene Graphs AAAI 2020 Strategies for End-to-End Text-Independent Speaker Verification Interspeech 2020 Strategies for Pre-training Graph Neural Networks ICLR 2020 StrawNet: Self-Training WaveNet for TTS in Low-Data Regimes Interspeech 2020 Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract) AAAI 2020 Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition Interspeech 2020 Streaming On-Device End-to-End ASR System for Privacy-Sensitive Voice-Typing Interspeech 2020 Streaming Transformer-Based Acoustic Models Using Self-Attention with Augmented Memory Interspeech 2020 Streamlined Variational Inference with Higher Level Random Effects JMLR 2020 Strip Pooling: Rethinking Spatial Pooling for Scene Parsing CVPR 2020