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 3801–3825 of 4891 papers

TitleStatusHype
Numerical Derivative-based Flexible Integration Algorithm for Power Electronic Systems Simulation Considering Nonlinear Components—0
Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces—0
NVAutoNet: Fast and Accurate 360^ 3D Visual Perception For Self Driving—0
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation—0
Object Placement on Cluttered Surfaces: A Nested Local Search Approach—0
Object Proposal Generation using Two-Stage Cascade SVMs—0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles—0
Observability conditions for neural state-space models with eigenvalues and their roots of unity—0
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks—0
Octo-planner: On-device Language Model for Planner-Action Agents—0
Offline Contextual Bandits for Wireless Network Optimization—0
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline—0
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay—0
Off-Policy Shaping Ensembles in Reinforcement Learning—0
OMCAT: Omni Context Aware Transformer—0
OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations—0
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
OmniReflect: Discovering Transferable Constitutions for LLM agents via Neuro-Symbolic Reflections—0
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning—0
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP—0
On Affine Policies for Wasserstein Distributionally Robust Unit Commitment—0
On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis—0
On Computationally Efficient Multi-Class Calibration—0
On consistency of constrained spectral clustering under representation-aware stochastic block model—0
On Degeneracy Issues in Multi-parametric Programming and Critical Region Exploration based Distributed Optimization in Smart Grid Operations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified