SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1875 of 4891 papers

TitleStatusHype
Subspace Langevin Monte Carlo—0
E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling—0
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference—0
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language ModelsCode0
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting—0
Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling—0
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training—0
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency—0
Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks—0
Core Context Aware Attention for Long Context Language Modeling—0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference—0
CNNtention: Can CNNs do better with Attention?Code0
Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory—0
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag DataCode0
Acceleration and Parallelization Methods for ISRS EGN Model—0
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization—0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep—0
The Open Source Advantage in Large Language Models (LLMs)—0
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
Deployment Pipeline from Rockpool to Xylo for Edge Computing—0
Pretrained Event Classification Model for High Energy Physics Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified