Application Areas

Memory Efficient Adaptive Optimization NeurIPS 2019 Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications ICML 2019 ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation ICML 2019 Metadata-driven Task Relation Discovery for Multi-task Learning IJCAI 2019 MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning ICCV 2019 MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization NeurIPS 2019 Meta-Sim: Learning to Generate Synthetic Datasets ICCV 2019 Metric-Optimized Example Weights ICML 2019 Microsoft Research Asia’s Systems for WMT19 ACL 2019 MIGAN: Malware Image Synthesis Using GANs AAAI 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019 Min-Max Statistical Alignment for Transfer Learning CVPR 2019 Mitigating Gender and L1 Differences to Improve State and Trait Recognition Interspeech 2019 Mitigating Gender Bias in Natural Language Processing: Literature Review ACL 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 MixMatch: A Holistic Approach to Semi-Supervised Learning NeurIPS 2019 MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019 Mixup Learning Strategies for Text-Independent Speaker Verification Interspeech 2019 MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding ICCV 2019 MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR 2019 MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction IJCAI 2019 Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World TCP Congestion Control Implementations NSDI 2019 Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models AAAI 2019 Model Compression with Adversarial Robustness: A Unified Optimization Framework NeurIPS 2019 Modeling Semantic Compositionality with Sememe Knowledge ACL 2019