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 251–300 of 4891 papers

TitleStatusHype
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code RepresentationCode1
FAMO: Fast Adaptive Multitask OptimizationCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
Exploiting Deblurring Networks for Radiance FieldsCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
Exploring Quality and Generalizability in Parameterized Neural Audio EffectsCode1
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class ClassificationCode1
Fast Point TransformerCode1
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEsCode1
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization NeedsCode1
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
Estimating Koopman operators with sketching to provably learn large scale dynamical systemsCode1
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf NodeCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with DroneCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
A practical PINN framework for multi-scale problems with multi-magnitude loss termsCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
EfficientPose: Scalable single-person pose estimationCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Efficient Neural Network Robustness Certification with General Activation FunctionsCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution NetworksCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
AMR Similarity Metrics from PrinciplesCode1
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language ModelsCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
Dynamic Multimodal FusionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified