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

Showing 751775 of 4891 papers

TitleStatusHype
Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed AugmentationCode1
Improving Facade Parsing with Vision Transformers and Line IntegrationCode1
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic SeizuresCode1
Anchor-based Large Language ModelsCode1
Faith-Shap: The Faithful Shapley Interaction IndexCode1
FAMO: Fast Adaptive Multitask OptimizationCode1
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech SeparationCode1
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine TransformationsCode1
Fast and Low-Cost Genomic Foundation Models via Outlier RemovalCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
CalibQuant: 1-Bit KV Cache Quantization for Multimodal LLMsCode1
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
SDS-Net: Shallow-Deep Synergism-detection Network for infrared small target detectionCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion InferenceCode1
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image ClassificationCode1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance ProblemsCode1
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networksCode1
Fast Kernel Scene FlowCode1
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective PropagationCode1
Hyperspectral Pansharpening: Critical Review, Tools and Future PerspectivesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified