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 1251–1275 of 4891 papers

TitleStatusHype
Accelerating Spherical k-Means—0
E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling—0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling—0
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs—0
An Attention-LSTM Hybrid Model for the Coordinated Routing of Multiple Vehicles—0
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO—0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
Activation-wise Propagation: A Universal Strategy to Break Timestep Constraints in Spiking Neural Networks for 3D Data Processing—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
Beyond the model: Key differentiators in large language models and multi-agent services—0
An analysis of the derivative-free loss method for solving PDEs—0
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach—0
Accelerating Spectral Clustering under Fairness Constraints—0
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length—0
Beyond Standard MoE: Mixture of Latent Experts for Resource-Efficient Language Models—0
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction—0
Identifying and Analyzing Task-Encoding Tokens in Large Language Models—0
Beyond Sentence-Level End-to-End Speech Translation: Context Helps—0
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations—0
Faster Diffusion Action Segmentation—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT—0
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified