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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
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices
AAAI 2023
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
AAAI 2023
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
AAAI 2023
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
AAAI 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
AAAI 2023
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
AAAI 2023
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data
AAAI 2023
Query-Aware Quantization for Maximum Inner Product Search
AAAI 2023
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning
AAAI 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
AAAI 2023
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer
AAAI 2023
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks
AAAI 2023
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
AAAI 2023
Safeguarded Learned Convex Optimization
AAAI 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
AAAI 2023
Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment
AAAI 2023
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning
AAAI 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
AAAI 2023
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
AAAI 2023
Towards Inference Efficient Deep Ensemble Learning
AAAI 2023
A Coreset Learning Reality Check
AAAI 2023
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
AAAI 2023
Boundary Graph Neural Networks for 3D Simulations
AAAI 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism
AAAI 2023
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