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Machine Learning
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Efficient Computing
6,876 papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
Sparse Tensor Additive Regression
JMLR 2021
Histogram Transform Ensembles for Large-scale Regression
JMLR 2021
River: machine learning for streaming data in Python
JMLR 2021
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
JMLR 2021
Hyperparameter Optimization via Sequential Uniform Designs
JMLR 2021
A Greedy Algorithm for Quantizing Neural Networks
JMLR 2021
mlr3pipelines - Flexible Machine Learning Pipelines in R
JMLR 2021
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms
JMLR 2021
TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads
JMLR 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
JMLR 2021
Stable-Baselines3: Reliable Reinforcement Learning Implementations
JMLR 2021
CAT: Compression-Aware Training for bandwidth reduction
JMLR 2021
Tailoring automated data augmentation to H&E-stained histopathology
MIDL 2021
Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning
MIDL 2021
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition
NAACL 2021
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval
NAACL 2021
Assessing Reference-Free Peer Evaluation for Machine Translation
NAACL 2021
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models
NAACL 2021
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog
NAACL 2021
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification
NAACL 2021
On the Transformer Growth for Progressive BERT Training
NAACL 2021
Multimodal End-to-End Sparse Model for Emotion Recognition
NAACL 2021
Rethinking Perturbations in Encoder-Decoders for Fast Training
NAACL 2021
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
NAACL 2021
Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
NAACL 2021
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