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 3251–3275 of 4891 papers

TitleStatusHype
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning—0
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI—0
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures—0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs—0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification—0
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent—0
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities—0
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics—0
Real-time Hybrid System Identification with Online Deterministic Annealing—0
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs—0
Faster Diffusion Action Segmentation—0
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems—0
BOTS-LM: Training Large Language Models for Setswana—0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network—0
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits—0
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control—0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion—0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion—0
LGBQPC: Local Granular-Ball Quality Peaks Clustering—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
TS-PIELM: Time-Stepping Physics-Informed Extreme Learning Machine Facilitates Soil Consolidation Analyses—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified