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 3976–4000 of 4891 papers

TitleStatusHype
CR-CTC: Consistency regularization on CTC for improved speech recognition—0
CRD: Collaborative Representation Distance for Practical Anomaly Detection—0
Creating generalizable downstream graph models with random projections—0
Credit Valuation Adjustment with Replacement Closeout: Theory and Algorithms—0
CrevNet: Conditionally Reversible Video Prediction—0
Critical Nodes Identification in Complex Networks: A Survey—0
Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models—0
Cross-Modal State-Space Graph Reasoning for Structured Summarization—0
Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package—0
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting—0
Crowd-Certain: Label Aggregation in Crowdsourced and Ensemble Learning Classification—0
Crypto Inverse-Power Options and Fractional Stochastic Volatility—0
CSfM: Community-based Structure from Motion—0
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking—0
Curriculum Recommendations Using Transformer Base Model with InfoNCE Loss And Language Switching Method—0
Curriculum reinforcement learning for quantum architecture search under hardware errors—0
Curvature Regularized Surface Reconstruction from Point Cloud—0
CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing—0
Curvilinear-Coordinate-Based Object and Situation Assessment for Highly Automate—0
Cycle Consistent Probability Divergences Across Different Spaces—0
D4C Glove-train: Solving the RPM and Bongard-logo Problem by Circumscribing and Building Distribution for Concepts—0
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning—0
Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified