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

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Showing 1501–1550 of 4891 papers

TitleStatusHype
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs—0
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer—0
Transported Memory Networks accelerating Computational Fluid Dynamics—0
Tukey Depth Mechanisms for Practical Private Mean Estimation—0
Memory-Free and Parallel Computation for Quantized Spiking Neural Networks—0
A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures—0
Optimal Brain ApoptosisCode0
Design and implementation of a distributed security threat detection system integrating federated learning and multimodal LLM—0
Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold NetworksCode0
Architecting Digital Twins for Intelligent Transportation Systems—0
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning—0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis—0
End-to-End Deep Learning for Structural Brain Imaging: A Unified FrameworkCode0
DISC: DISC: Dynamic Decomposition Improves LLM Inference Scaling—0
Agentic AI for Behavior-Driven Development Testing Using Large Language ModelsCode0
Dynamic Parallel Tree Search for Efficient LLM Reasoning—0
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image ClassificationCode0
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery—0
Pseudo-Measurement Enhancement in Power Distribution Systems—0
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control—0
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsCode0
Hard constraint learning approaches with trainable influence functions for evolutionary equationsCode0
Probabilistic Formulations for System Identification of Linear Dynamics with Bilinear Observation Models—0
Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)—0
YOLOv12: A Breakdown of the Key Architectural Features—0
An Enhancement of Jiang, Z., et al.s Compression-Based Classification Algorithm Applied to News Article Categorization—0
Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment—0
Moshi Moshi? A Model Selection Hijacking Adversarial Attack—0
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification—0
Fundamental Survey on Neuromorphic Based Audio Classification—0
Triply Laplacian Scale Mixture Modeling for Seismic Data Noise SuppressionCode0
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly—0
Investigating Non-Transitivity in LLM-as-a-Judge—0
SegRet: An Efficient Design for Semantic Segmentation with Retentive NetworkCode0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm—0
Risk-Sensitive Security-Constrained Economic Dispatch: Pricing and Algorithm Design—0
ThinkGuard: Deliberative Slow Thinking Leads to Cautious GuardrailsCode0
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints—0
Activation-wise Propagation: A Universal Strategy to Break Timestep Constraints in Spiking Neural Networks for 3D Data Processing—0
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs—0
Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models—0
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRACode0
iMOVE: Instance-Motion-Aware Video Understanding—0
Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization—0
IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting—0
Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control—0
On the Query Complexity of Verifier-Assisted Language Generation—0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems—0
Practical Topics in Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified