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Efficient Computing
6876 directly classified 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
Binary Event-Driven Spiking Transformer
IJCAI 2025
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
IJCAI 2025
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment
IJCAI 2025
Boost Embodied AI Models with Robust Compression Boundary
IJCAI 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
IJCAI 2025
RRG-Mamba: Efficient Radiology Report Generation with State Space Model
IJCAI 2025
Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis
IJCAI 2025
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
AAAI 2025
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
AAAI 2025
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
AAAI 2025
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
AAAI 2025
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning
AAAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
AAAI 2025
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
AAAI 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
AAAI 2025
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
AAAI 2025
A Scalable and Effective Alternative to Graph Transformers
AAAI 2025
Kernel Learning for Sample Constrained Black-Box Optimization
AAAI 2025
Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe
COLING 2025
Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models
COLING 2025
OptiPrune: Effective Pruning Approach for Every Target Sparsity
COLING 2025
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
COLING 2025
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions
IJCAI 2025
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection
IJCAI 2025
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems
IJCAI 2025
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