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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
Dynamic Structure Pruning for Compressing CNNs
AAAI 2023
Efficient Exploration in Resource-Restricted Reinforcement Learning
AAAI 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
AAAI 2023
Federated Generative Model on Multi-Source Heterogeneous Data in IoT
AAAI 2023
A Survey on Model Compression and Acceleration for Pretrained Language Models
AAAI 2023
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping
AAAI 2023
Simple and Efficient Heterogeneous Graph Neural Network
AAAI 2023
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
AAAI 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer
AAAI 2023
Boosted Dynamic Neural Networks
AAAI 2023
Compressing Transformers: Features Are Low-Rank, but Weights Are Not!
AAAI 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping
AAAI 2023
AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution
AAAI 2023
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
AAAI 2023
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration
AAAI 2023
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences
AAAI 2023
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model
AAAI 2023
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
AAAI 2023
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
AAAI 2023
Recent Developments in Data-Driven Algorithms for Discrete Optimization
AAAI 2023
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
AAAI 2023
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes
AAAI 2023
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments
AAAI 2023
Lightweight Transformer for Multi-Modal Object Detection (Student Abstract)
AAAI 2023
Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract)
AAAI 2023
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