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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
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition
AAAI 2022
Towards Light-Weight and Real-Time Line Segment Detection
AAAI 2022
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer
AAAI 2022
Bi-volution: A Static and Dynamic Coupled Filter
AAAI 2022
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds
AAAI 2022
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks
AAAI 2022
Less Is More: Pay Less Attention in Vision Transformers
AAAI 2022
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification
AAAI 2022
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
AAAI 2022
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution
AAAI 2022
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising
AAAI 2022
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
AAAI 2022
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
AAAI 2022
A Variant of Concurrent Constraint Programming on GPU
AAAI 2022
Anisotropic Additive Quantization for Fast Inner Product Search
AAAI 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
AAAI 2022
Input-Specific Robustness Certification for Randomized Smoothing
AAAI 2022
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
AAAI 2022
Fast Monte-Carlo Approximation of the Attention Mechanism
AAAI 2022
Optimization for Classical Machine Learning Problems on the GPU
AAAI 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
AAAI 2022
Scaling Up Influence Functions
AAAI 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
AAAI 2022
Go Wider Instead of Deeper
AAAI 2022
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
AAAI 2022
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