Optimization & Theory

Memory Efficient Adaptive Optimization NeurIPS 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization NeurIPS 2019 MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer AAAI 2019 Min-Max Statistical Alignment for Transfer Learning CVPR 2019 MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019 MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR 2019 MobiLipNet: Resource-Efficient Deep Learning Based Lipreading Interspeech 2019 Momentum-Based Variance Reduction in Non-Convex SGD NeurIPS 2019 More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation NeurIPS 2019 MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons AAAI 2019 MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation CVPR 2019 Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1} AAAI 2019 Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019 Network Pruning via Transformable Architecture Search NeurIPS 2019 Network Recasting: A Universal Method for Network Architecture Transformation AAAI 2019 Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization CVPR 2019 Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time NeurIPS 2019 NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks AAAI 2019 Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019 Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019 Normalization Helps Training of Quantized LSTM NeurIPS 2019 Numerical Optimization to AI, and Back AAAI 2019 ODE-Inspired Network Design for Single Image Super-Resolution CVPR 2019 On-device Structured and Context Partitioned Projection Networks ACL 2019