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 301–350 of 4891 papers

TitleStatusHype
FAMO: Fast Adaptive Multitask OptimizationCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
Exploring Quality and Generalizability in Parameterized Neural Audio EffectsCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class ClassificationCode1
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective PropagationCode1
How Much Can Time-related Features Enhance Time Series Forecasting?Code1
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
Estimating Koopman operators with sketching to provably learn large scale dynamical systemsCode1
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf NodeCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
Adaptive Focus for Efficient Video RecognitionCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical SolverCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Efficient Neural Network Robustness Certification with General Activation FunctionsCode1
Adaptive Data Optimization: Dynamic Sample Selection with Scaling LawsCode1
EfficientPose: Scalable single-person pose estimationCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Automated Lane Merging via Game Theory and Branch Model Predictive ControlCode1
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time SeriesCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Dynamic Multimodal FusionCode1
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
AMR Similarity Metrics from PrinciplesCode1
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLMCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
DynamicDet: A Unified Dynamic Architecture for Object DetectionCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified