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 551–600 of 4891 papers

TitleStatusHype
Revisiting Funnel Transformers for Modern LLM Architectures with Comprehensive Ablations in Training and Inference Configurations—0
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates—0
Robust Channel Estimation for Optical Wireless Communications Using Neural NetworkCode0
LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi—0
Overcoming Vocabulary Constraints with Pixel-level Fallback—0
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation—0
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?—0
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems—0
Representing Flow Fields with Divergence-Free Kernels for Reconstruction—0
UniViTAR: Unified Vision Transformer with Native Resolution—0
SpikeSift: A Computationally Efficient and Drift-Resilient Spike Sorting Algorithm—0
ToolACE-R: Tool Learning with Adaptive Self-Refinement—0
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning—0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries—0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching—0
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning—0
FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization—0
Efficient n-body simulations using physics informed graph neural networks—0
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks—0
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing—0
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing MechanismCode0
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation—0
On the Steady-State Distributionally Robust Kalman FilterCode0
Rethinking Key-Value Cache Compression Techniques for Large Language Model ServingCode1
Free Parametrization of L2-bounded State Space ModelsCode0
Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint—0
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching—0
Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization—0
A Low-complexity Structured Neural Network to Realize States of Dynamical SystemsCode0
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables—0
SU-YOLO: Spiking Neural Network for Efficient Underwater Object DetectionCode0
Tree-Guided L_1-Convex ClusteringCode0
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip StatisticsCode0
A Time Splitting Based Optimization Method for Nonlinear MHE—0
SpINR: Neural Volumetric Reconstruction for FMCW Radars—0
Exact Characterization of Aggregate Flexibility via Generalized Polymatroids—0
KernelDNA: Dynamic Kernel Sharing via Decoupled Naive AdaptersCode0
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization—0
Enhancing Physics-Informed Neural Networks with a Hybrid Parallel Kolmogorov-Arnold and MLP Architecture—0
Beyond Standard MoE: Mixture of Latent Experts for Resource-Efficient Language Models—0
Unsupervised Learning: Comparative Analysis of Clustering Techniques on High-Dimensional Data—0
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks—0
Action Recognition in Real-World Ambient Assisted Living EnvironmentCode0
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval—0
A Deep Learning Framework for Boundary-Aware Semantic Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified