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Efficient Computing

6,876 papers

Papers per year

Papers

Information Magnitude Based Dynamic Sub-sampling for Speech-to-text INTERSPEECH 2023
FusedF0: Improving DNN-based F0 Estimation by Fusion of Summary-Correlograms and Raw Waveform Representations of Speech Signals INTERSPEECH 2023
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning INTERSPEECH 2023
2-bit Conformer quantization for automatic speech recognition INTERSPEECH 2023
BAT: Boundary aware transducer for memory-efficient and low-latency ASR INTERSPEECH 2023
Cochlear-implant Listeners Listening to Cochlear-implant Simulated Speech INTERSPEECH 2023
Zoneformer: On-device Neural Beamformer For In-car Multi-zone Speech Separation, Enhancement and Echo Cancellation INTERSPEECH 2023
Low-complexity Broadband Beampattern Synthesis using Array Response Control INTERSPEECH 2023
NeMo Forced Aligner and its application to word alignment for subtitle generation INTERSPEECH 2023
Adaptive Neural Network Quantization For Lightweight Speaker Verification INTERSPEECH 2023
Handling the Alignment for Wake Word Detection: A Comparison Between Alignment-Based, Alignment-Free and Hybrid Approaches INTERSPEECH 2023
Efficient Structure-preserving Support Tensor Train Machine JMLR 2023
AutoKeras: An AutoML Library for Deep Learning JMLR 2023
HiClass: a Python Library for Local Hierarchical Classification Compatible with Scikit-learn JMLR 2023
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity JMLR 2023
FedLab: A Flexible Federated Learning Framework JMLR 2023
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities JMLR 2023
Combinatorial Optimization and Reasoning with Graph Neural Networks JMLR 2023
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges JMLR 2023
MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning JMLR 2023
Importance Sparsification for Sinkhorn Algorithm JMLR 2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model JMLR 2023
On Biased Compression for Distributed Learning JMLR 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023
Scaling Up Models and Data with t5x and seqio JMLR 2023