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 251–275 of 4891 papers

TitleStatusHype
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective PropagationCode1
Fast Point TransformerCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf NodeCode1
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization NeedsCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Show:102550
← PrevPage 11 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified