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 276–300 of 4891 papers

TitleStatusHype
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
A practical PINN framework for multi-scale problems with multi-magnitude loss termsCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Exploring Quality and Generalizability in Parameterized Neural Audio EffectsCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Exploiting Deblurring Networks for Radiance FieldsCode1
Estimating Koopman operators with sketching to provably learn large scale dynamical systemsCode1
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution NetworksCode1
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language ModelsCode1
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified