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 1651–1675 of 4891 papers

TitleStatusHype
Architecting Digital Twins for Intelligent Transportation Systems—0
A few-shot Label Unlearning in Vertical Federated Learning—0
Contingency-constrained economic dispatch with safe reinforcement learning—0
Contextual Reinforcement in Multimodal Token Compression for Large Language Models—0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Contextual Multinomial Logit Bandits with General Value Functions—0
Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing—0
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds—0
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction—0
Contextually Structured Token Dependency Encoding for Large Language Models—0
Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning—0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation—0
A Rank-SVM Approach to Anomaly Detection—0
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates—0
Context-endcoding for neural network based skull stripping in magnetic resonance imaging—0
Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss—0
Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images—0
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework—0
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems—0
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications—0
A 3D grain-based reconstruction method from a 2D surface image for the Distinct Lattice Spring Model—0
Context-aware recommendations from implicit data via scalable tensor factorization—0
Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing—0
A pseudo-likelihood approach to community detection in weighted networks—0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified