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Efficient Computing
6876 directly classified 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
Persistent State Machines for Recoverable In-memory Storage Systems with NVRam
OSDI 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
ICML 2020
Variational Bayesian Quantization
ICML 2020
Voice Separation with an Unknown Number of Multiple Speakers
ICML 2020
Time-aware Large Kernel Convolutions
ICML 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
ICML 2020
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
ICML 2020
Rigging the Lottery: Making All Tickets Winners
ICML 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
ICML 2020
Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning
ICML 2020
Evaluating the Performance of Reinforcement Learning Algorithms
ICML 2020
Online Learned Continual Compression with Adaptive Quantization Modules
ICML 2020
Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation
EMNLP 2020
On the weak link between importance and prunability of attention heads
EMNLP 2020
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
EMNLP 2020
Large Product Key Memory for Pretrained Language Models
EMNLP 2020
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
EMNLP 2020
End to End Binarized Neural Networks for Text Classification
EMNLP 2020
Efficient Inference For Neural Machine Translation
EMNLP 2020
FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
EMNLP 2020
Lite Training Strategies for Portuguese-English and English-Portuguese Translation
EMNLP 2020
Analyzing Redundancy in Pretrained Transformer Models
EMNLP 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos
EMNLP 2020
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering
EMNLP 2020
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