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 2101–2150 of 4891 papers

TitleStatusHype
Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs—0
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimationCode0
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data—0
LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric FunctionCode0
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models—0
Taipan: Efficient and Expressive State Space Language Models with Selective Attention—0
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification—0
GeoLoRA: Geometric integration for parameter efficient fine-tuning—0
RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classification—0
Exploring Tokenization Methods for Multitrack Sheet Music Generation—0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference—0
YOLOv11: An Overview of the Key Architectural EnhancementsCode0
Automated Defect Detection and Grading of Piarom Dates Using Deep Learning—0
Combinatorial Logistic BanditsCode0
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modelingCode0
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning—0
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models—0
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional ElementsCode0
Linear Partial Gromov-Wasserstein EmbeddingCode0
Learning-to-Defer for Extractive Question Answering—0
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications—0
LightFusionRec: Lightweight Transformers-Based Cross-Domain Recommendation Model—0
A Kernelization-Based Approach to Nonparametric Binary Choice Models—0
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering—0
S-CFE: Simple Counterfactual ExplanationsCode0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
Advancing Physics Data Analysis through Machine Learning and Physics-Informed Neural Networks—0
Combining Entropy and Matrix Nuclear Norm for Enhanced Evaluation of Language Models—0
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling—0
Learning to Control the Smoothness of Graph Convolutional Network Features—0
Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers—0
Tensor Decomposition with Unaligned Observations—0
Supervised Kernel ThinningCode0
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion—0
Learning Efficient Representations of Neutrino Telescope EventsCode0
Adaptive and oblivious statistical adversaries are equivalent—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
RemoteDet-Mamba: A Hybrid Mamba-CNN Network for Multi-modal Object Detection in Remote Sensing Images—0
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors—0
Expected Sliced Transport Plans—0
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference—0
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph—0
The Moral Case for Using Language Model Agents for Recommendation—0
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space—0
Rethinking Graph Transformer Architecture Design for Node Classification—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
OMCAT: Omni Context Aware Transformer—0
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified