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 361–370 of 4891 papers

TitleStatusHype
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
Change State Space Models for Remote Sensing Change DetectionCode1
Adaptive Focus for Efficient Video RecognitionCode1
Checkerboard Context Model for Efficient Learned Image CompressionCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified