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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
A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers
ACML 2023
Multi-behavior Session-based Recommendation via Graph Reinforcement Learning
ACML 2023
A Simple and General Binarization Method for Image Restoration Neural Networks
ACML 2023
Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning?
ACML 2023
GWQ: Group-Wise Quantization Framework for Neural Networks
ACML 2023
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
ACML 2023
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization
AISTATS 2023
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space
AISTATS 2023
BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices
AISTATS 2023
Deep Neural Networks with Efficient Guaranteed Invariances
AISTATS 2023
MARS: Masked Automatic Ranks Selection in Tensor Decompositions
AISTATS 2023
LOFT: Finding Lottery Tickets through Filter-wise Training
AISTATS 2023
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
AISTATS 2023
ForestPrune: Compact Depth-Pruned Tree Ensembles
AISTATS 2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
AISTATS 2023
Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond
COLT 2023
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
COLT 2023
Exploring Transformers as Compact, Data-efficient Language Models
CONLL 2023
Frame Flexible Network
CVPR 2023
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
CVPR 2023
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization
CVPR 2023
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
CVPR 2023
X-Pruner: eXplainable Pruning for Vision Transformers
CVPR 2023
A Light Weight Model for Active Speaker Detection
CVPR 2023
Towards Scalable Neural Representation for Diverse Videos
CVPR 2023
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