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Efficient Computing

6876 directly classified papers

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Papers

Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data COLING 2020
Fast Word Predictor for On-Device Application COLING 2020
Word Embedding Binarization with Semantic Information Preservation COLING 2020
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering INTERSPEECH 2020
Polishing the Classical Likelihood Ratio Test by Supervised Learning for Voice Activity Detection INTERSPEECH 2020
Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ EMNLP 2020
Sparse Mixture of Local Experts for Efficient Speech Enhancement INTERSPEECH 2020
Discriminative Method to Extract Coarse Prosodic Structure and its Application for Statistical Phrase/Accent Command Estimation INTERSPEECH 2020
The CacheLib Caching Engine: Design and Experiences at Scale OSDI 2020
State Sequence Pooling Training of Acoustic Models for Keyword Spotting INTERSPEECH 2020
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition INTERSPEECH 2020
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks IJCAI 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning JMLR 2020
Visual Speech In Real Noisy Environments (VISION): A Novel Benchmark Dataset and Deep Learning-Based Baseline System INTERSPEECH 2020
SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention MIDL 2020
Adapting TCP for Reconfigurable Datacenter Networks NSDI 2020
Improved Vector Pruning in Exact Algorithms for Solving POMDPs UAI 2020
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up OSDI 2020
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection CORL 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020
Feature Statistics Guided Efficient Filter Pruning IJCAI 2020
Approximate Cross-Validation in High Dimensions with Guarantees AISTATS 2020
MuGNet: Multi-Resolution Graph Neural Network for Segmenting Large-Scale Pointclouds CORL 2020
Scalable Feature Selection for (Multitask) Gradient Boosted Trees AISTATS 2020
Generalized Sub-Query Fusion for Eliminating Redundant I/O from Big-Data Queries OSDI 2020