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 201–250 of 4891 papers

TitleStatusHype
Research on feature fusion and multimodal patent text based on graph attention network—0
Efficient Optimization Accelerator Framework for Multistate Ising Problems—0
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation—0
Energy-based Preference Optimization for Test-time Adaptation—0
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models—0
One Model to Rank Them All: Unifying Online Advertising with End-to-End Learning—0
Learning Optimal Multimodal Information Bottleneck Representations—0
Route to Reason: Adaptive Routing for LLM and Reasoning Strategy SelectionCode0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition—0
Long-Context State-Space Video World Models—0
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point CloudsCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random—0
Faithful Group Shapley ValueCode0
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
PosePilot: An Edge-AI Solution for Posture Correction in Physical Exercises—0
PATS: Process-Level Adaptive Thinking Mode SwitchingCode1
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time ScalingCode1
ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning—0
FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization—0
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling—0
Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary DomainsCode2
Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition—0
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-TuningCode0
Partition Generative Modeling: Masked Modeling Without MasksCode4
Tropical Geometry Based Edge Detection Using Min-Plus and Max-Plus Algebra—0
Composable Cross-prompt Essay Scoring by Merging Models—0
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm—0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach—0
SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking—0
CONCORD: Concept-Informed Diffusion for Dataset DistillationCode0
A tensor network approach for chaotic time series predictionCode0
STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization—0
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation—0
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent ModellingCode0
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods—0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Neural network based control of unknown nonlinear systems via contraction analysis—0
RealEngine: Simulating Autonomous Driving in Realistic ContextCode1
Coverage Path Planning For Multi-view SAR-UAV Observation System Under Energy Constraint—0
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning—0
MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation ModelsCode2
Place Cells as Proximity-Preserving Embeddings: From Multi-Scale Random Walk to Straight-Forward Path Planning—0
KIPPO: Koopman-Inspired Proximal Policy Optimization—0
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationCode0
Adaptive Cyclic Diffusion for Inference Scaling—0
VAMO: Efficient Large-Scale Nonconvex Optimization via Adaptive Zeroth Order Variance Reduction—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
Computational Efficiency under Covariate Shift in Kernel Ridge Regression—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified