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34,437 papers (4 classified directly here)

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Papers (including subtopics)

LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition NeurIPS 2019 Litigation Analytics: Case Outcomes Extracted from US Federal Court Dockets NAACL 2019 LIT: Learned Intermediate Representation Training for Model Compression ICML 2019 Live Face De-Identification in Video ICCV 2019 Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding NAACL 2019 Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond NeurIPS 2019 Locally Private Bayesian Inference for Count Models ICML 2019 Locally Private Gaussian Estimation NeurIPS 2019 Locally Private Learning without Interaction Requires Separation NeurIPS 2019 Locally Private Mean Estimation: Z-test and Tight Confidence Intervals AISTATS 2019 Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks IJCAI 2019 Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019 Lombard Speech Synthesis Using Transfer Learning in a Tacotron Text-to-Speech System Interspeech 2019 Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction EMNLP 2019 Loom: Flexible and Efficient NIC Packet Scheduling NSDI 2019 Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning AAAI 2019 Low-Bit Quantization for Attributed Network Representation Learning IJCAI 2019 Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition Interspeech 2019 Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019 Lower Bounds for Locally Private Estimation via Communication Complexity COLT 2019 Low Latency Privacy Preserving Inference ICML 2019 Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch Patterns Interspeech 2019 M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding Interspeech 2019 Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions AAAI 2019 Machine Translation for Machines: the Sentiment Classification Use Case EMNLP 2019