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 4726–4750 of 4891 papers

TitleStatusHype
Guaranteed Trust Region Optimization via Two-Phase KL Penalization—0
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models—0
HabSim: Architecture for modelling disruptions, propagation, detection and repair in deep space habitats—0
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms—0
Hadamard product in deep learning: Introduction, Advances and Challenges—0
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images—0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games—0
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks—0
Hardware Compliant Approximate Image Codes—0
Harmonic Path Integral Diffusion—0
Harmonic Power-Flow Study of Polyphase Grids with Converter-Interfaced Distributed Energy Resources, Part I: Modelling Framework and Algorithm—0
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness—0
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation—0
HC^3L-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis—0
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—0
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals—0
Heat Kernel Goes Topological—0
HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation—0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning—0
Heuristic Deep Reinforcement Learning for Phase Shift Optimization in RIS-assisted Secure Satellite Communication Systems with RSMA—0
Heuristics for vehicle routing problems: Sequence or set optimization?—0
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models—0
Hierarchical Lexical Manifold Projection in Large Language Models: A Novel Mechanism for Multi-Scale Semantic Representation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified