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Methodology
← Optimization & Theory
Deep Learning
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Optimization & Theory
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Efficient Computing
1253 directly classified papers
Papers per year
2008: 1
2009: 1
2012: 2
2013: 2
2014: 10
2015: 6
2016: 14
2017: 19
2018: 59
2019: 71
2020: 113
2021: 128
2022: 162
2023: 159
2024: 225
2025: 281
Papers
CAME: Confidence-guided Adaptive Memory Efficient Optimization
ACL 2023
Better and Faster: Adaptive Event Conversion for Event-Based Object Detection
AAAI 2023
Sequence Parallelism: Long Sequence Training from System Perspective
ACL 2023
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
AAAI 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
NIPS 2023
SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking
ICCV 2023
Accelerating the Training of Video Super-resolution Models
AAAI 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
NIPS 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
NIPS 2023
Towards Real-Time Segmentation on the Edge
AAAI 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets
NIPS 2023
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks
AAAI 2023
Neumann Network With Recursive Kernels for Single Image Defocus Deblurring
CVPR 2023
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training
NIPS 2023
DeepPCR: Parallelizing Sequential Operations in Neural Networks
NIPS 2023
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
NIPS 2023
StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller
NIPS 2023
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud
AAAI 2023
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
NIPS 2023
Comprehensive and Delicate: An Efficient Transformer for Image Restoration
CVPR 2023
Efficient Mirror Detection via Multi-Level Heterogeneous Learning
AAAI 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NIPS 2023
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training
NIPS 2023
AiluRus: A Scalable ViT Framework for Dense Prediction
NIPS 2023
Head-Free Lightweight Semantic Segmentation with Linear Transformer
AAAI 2023
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