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 601–650 of 4891 papers

TitleStatusHype
A Deep Learning Framework for Boundary-Aware Semantic Segmentation—0
GmNet: Revisiting Gating Mechanisms From A Frequency View—0
Next-Best-Trajectory Planning of Robot Manipulators for Effective Observation and Exploration—0
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene FlowCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
WeatherMesh-3: Fast and accurate operational global weather forecastingCode3
Audio-Plane: Audio Factorization Plane Gaussian Splatting for Real-Time Talking Head Synthesis—0
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand ForecastingCode0
Meta-LoRA: Meta-Learning LoRA Components for Domain-Aware ID Personalization—0
Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach—0
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble ArchitecturesCode0
Purifying Approximate Differential Privacy with Randomized Post-processing—0
LandMarkSystem Technical ReportCode2
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual RecognitionCode0
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token CompressionCode1
VADMamba: Exploring State Space Models for Fast Video Anomaly DetectionCode1
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting—0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks—0
Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial ImageryCode0
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks—0
Two for the Price of One: Integrating Large Language Models to Learn Biophysical Interactions—0
Cross-Modal State-Space Graph Reasoning for Structured Summarization—0
Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language RecognitionCode1
ReverBERT: A State Space Model for Efficient Text-Driven Speech Style Transfer—0
Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework—0
Model-free Vehicle Rollover Prevention: A Data-driven Predictive Control Approach—0
Problem-Structure-Informed Quantum Approximate Optimization Algorithm for Large-Scale Unit Commitment with Limited Qubits—0
Novel Deep Neural OFDM Receiver Architectures for LLR EstimationCode0
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore FrameworkCode0
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception—0
Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks—0
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image GenerationCode0
Burst Image Super-Resolution with Mamba—0
SuperFlow++: Enhanced Spatiotemporal Consistency for Cross-Modal Data PretrainingCode2
Language Model Uncertainty Quantification with Attention ChainCode1
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics—0
ZeroLM: Data-Free Transformer Architecture Search for Language Models—0
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
k-NN as a Simple and Effective Estimator of Transferability—0
PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative ModelsCode0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV CacheCode2
A Two-Stage Rotation-Based Super-Resolution Signature Estimation for Spatial Wideband Systems—0
Vehicular Road Crack Detection with Deep Learning: A New Online Benchmark for Comprehensive Evaluation of Existing Algorithms—0
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models—0
Enhancing Retrieval Systems with Inference-Time Logical Reasoning—0
Mixed-gradients Distributed Filtered Reference Least Mean Square Algorithm -- A Robust Distributed Multichannel Active Noise Control Algorithm—0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified