Efficient Computing
8,226 papers
Papers per year
3
2
3
3
8
11
7
11
12
15
55
50
57
98
136
252
379
535
681
794
1,106
1,519
2,057
432
'5
'10
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Papers
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
ICML 2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
NeurIPS 2024
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
EMNLP 2024
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
IJCAI 2024
Make Large Language Model a Better Ranker
EMNLP 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
EMNLP 2024
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
NeurIPS 2024
MA-Net: Rethinking Neural Unit in the Light of Astrocytes
AAAI 2024
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
ICLR 2024
MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract)
AAAI 2024
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models
ACL 2024
MassSpecGym: A benchmark for the discovery and identification of molecules
NeurIPS 2024
MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale
OSDI 2024
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
NeurIPS 2024
MatFormer: Nested Transformer for Elastic Inference
NeurIPS 2024
MathAttack: Attacking Large Language Models towards Math Solving Ability
AAAI 2024
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning
NAACL 2024
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
EMNLP 2024
Matryoshka Query Transformer for Large Vision-Language Models
NeurIPS 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network
CVPR 2024
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval
NAACL 2024
Measuring Per-Unit Interpretability at Scale Without Humans
NeurIPS 2024
Mechanistic Design and Scaling of Hybrid Architectures
ICML 2024
Mechanistic Neural Networks for Scientific Machine Learning
ICML 2024
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
WACV 2024