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 251–300 of 4891 papers

TitleStatusHype
RGB-Event Fusion with Self-Attention for Collision PredictionCode1
Multi-View Learning with Context-Guided Receptance for Image DenoisingCode1
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-ResolutionCode1
Fast and Low-Cost Genomic Foundation Models via Outlier RemovalCode1
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM SelectionCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
Geometry-Informed Neural Operator TransformerCode1
TableCenterNet: A one-stage network for table structure recognitionCode1
Survey of Video Diffusion Models: Foundations, Implementations, and ApplicationsCode1
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
FocusTrack: A Self-Adaptive Local Sampling Algorithm for Efficient Anti-UAV TrackingCode1
Mask Image WatermarkingCode1
Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative LearningCode1
Change State Space Models for Remote Sensing Change DetectionCode1
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT ImagesCode1
Focus on Local: Finding Reliable Discriminative Regions for Visual Place RecognitionCode1
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
Robo-taxi Fleet Coordination at Scale via Reinforcement LearningCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
Rethinking Key-Value Cache Compression Techniques for Large Language Model ServingCode1
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene FlowCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token CompressionCode1
VADMamba: Exploring State Space Models for Fast Video Anomaly DetectionCode1
Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language RecognitionCode1
Language Model Uncertainty Quantification with Attention ChainCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
TriLiteNet: Lightweight Model for Multi-Task Visual PerceptionCode1
GS-I^3: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent ImagesCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech TokensCode1
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive ApplicationsCode1
SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language ModelsCode1
M^3amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing ClassificationCode1
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction FrameworkCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMsCode1
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian SplattingCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image SegmentationCode1
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shiftingCode1
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed DistributionsCode1
Long-Context Inference with Retrieval-Augmented Speculative DecodingCode1
PrimeK-Net: Multi-scale Spectral Learning via Group Prime-Kernel Convolutional Neural Networks for Single Channel Speech EnhancementCode1
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRACode1
A Reverse Mamba Attention Network for Pathological Liver SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified