Application Areas

It’s going to be okay: Measuring Access to Support in Online Communities EMNLP 2018 i-Vectors in Language Modeling: An Efficient Way of Domain Adaptation for Feed-Forward Models Interspeech 2018 Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding NeurIPS 2018 Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation CVPR 2018 Joint Noise and Reverberation Adaptive Learning for Robust Speaker DOA Estimation with an Acoustic Vector Sensor Interspeech 2018 JUMP: a Jointly Predictor for User Click and Dwell Time IJCAI 2018 Karaoke: Distributed Private Messaging Immune to Passive Traffic Analysis OSDI 2018 K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning ICML 2018 KDGAN: Knowledge Distillation with Generative Adversarial Networks NeurIPS 2018 K-means clustering using random matrix sparsification ICML 2018 Knowledge Distillation by On-the-Fly Native Ensemble NeurIPS 2018 Knowledge Distillation for Sequence Model Interspeech 2018 Knowledge Transfer with Jacobian Matching ICML 2018 KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos EMNLP 2018 LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning NeurIPS 2018 Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English Tweets SemEval 2018 Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning CVPR 2018 Large Scale Optimal Transport and Mapping Estimation ICLR 2018 Lean Multiclass Crowdsourcing CVPR 2018 Learning Adversarially Fair and Transferable Representations ICML 2018 Learning Compact Neural Networks with Regularization ICML 2018 Learning Compressed Transforms with Low Displacement Rank NeurIPS 2018 Learning Compressible 360° Video Isomers CVPR 2018 “Learning-Compression” Algorithms for Neural Net Pruning CVPR 2018 Learning Diachronic Analogies to Analyze Concept Change COLING 2018