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

Showing 16011650 of 4891 papers

TitleStatusHype
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation0
OneTrack-M: A multitask approach to transformer-based MOT models0
Gaussian Process Regression for Inverse Problems in Linear PDEs0
Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression0
AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations0
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation0
CARROT: A Cost Aware Rate Optimal Router0
Large Language Model Guided Self-Debugging Code Generation0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference0
Data denoising with self consistency, variance maximization, and the Kantorovich dominance0
SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images0
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction0
Ilargi: a GPU Compatible Factorized ML Model Training Framework0
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies0
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks0
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation0
Orientation-aware interaction-based deep material network in polycrystalline materials modeling0
ReGNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction0
Learning to generate physical ocean states: Towards hybrid climate modeling0
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly OlfactionCode0
End-to-End Imitation Learning for Optimal Asteroid Proximity Operations0
Latent Lexical Projection in Large Language Models: A Novel Approach to Implicit Representation Refinement0
DRL-based Dolph-Tschebyscheff Beamforming in Downlink Transmission for Mobile Users0
A generative foundation model for an all-in-one seismic processing framework0
Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network0
Structural Latency Perturbation in Large Language Models Through Recursive State Induction0
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon0
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization0
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals0
Converting Transformers into DGNNs FormCode0
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration0
EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics0
Optimal Coupled Sensor Placement and Path-Planning in Unknown Time-Varying Environments0
Structural Embedding Projection for Contextual Large Language Model Inference0
Neural Implicit Solution Formula for Efficiently Solving Hamilton-Jacobi Equations0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM0
Locality-aware Surrogates for Gradient-based Black-box Optimization0
Contextually Structured Token Dependency Encoding for Large Language Models0
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images0
LLM-Generated Heuristics for AI Planning: Do We Even Need Domain-Independence Anymore?0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
AlphaAdam:Asynchronous Masked Optimization with Dynamic Alpha for Selective UpdatesCode0
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces0
A Hybrid Dynamic Subarray Architecture for Efficient DOA Estimation in THz Ultra-Massive Hybrid MIMO Systems0
Action Recognition Using Temporal Shift Module and Ensemble LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified