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 3751–3800 of 4891 papers

TitleStatusHype
Characteristic Neural Ordinary Differential Equations—0
SpeechMoE2: Mixture-of-Experts Model with Improved Routing—0
Cycle Consistent Probability Divergences Across Different Spaces—0
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length—0
Using Convolutional Neural Networks to Detect Compression Algorithms—0
All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass—0
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold—0
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and ClusteringCode0
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network—0
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence—0
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks—0
Offline Contextual Bandits for Wireless Network Optimization—0
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers—0
AI challenges for predicting the impact of mutations on protein stability—0
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations—0
Trajectory PHD and CPHD Filters with Unknown Detection Profile—0
Dual Parameterization of Sparse Variational Gaussian ProcessesCode0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Conformal testing: binary case with Markov alternatives—0
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay—0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Computational Efficiency in Multivariate Adversarial Risk Analysis Models—0
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox DetectorCode0
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties—0
Scalable Smartphone Cluster for Deep Learning—0
Stochastic Primal-Dual Deep Unrolling—0
Counting Objects by Diffused Index: geometry-free and training-free approach—0
On Learning the Transformer KernelCode0
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies—0
Action-Sufficient State Representation Learning for Control with Structural Constraints—0
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss—0
Streaming on-device detection of device directed speech from voice and touch-based invocation—0
A study on the efficacy of model pre-training in developing neural text-to-speech system—0
Predictive Maintenance for General Aviation Using Convolutional Transformers—0
Fast and Interpretable Consensus Clustering via Minipatch Learning—0
Graph Coloring: Comparing Cluster Graphs to Factor Graphs—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
A new weakly supervised approach for ALS point cloud semantic segmentation—0
Learn to Communicate with Neural Calibration: Scalability and Generalization—0
Understanding the Variance Collapse of SVGD in High Dimensions—0
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search—0
An Attention-LSTM Hybrid Model for the Coordinated Routing of Multiple Vehicles—0
Why does Negative Sampling not Work Well? Analysis of Convexity in Negative Sampling—0
Equivariant Transformers for Neural Network based Molecular Potentials—0
A NEW BACKBONE FOR HYPERSPECTRAL IMAGE RECONSTRUCTION—0
MAGNEx: A Model Agnostic Global Neural Explainer—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified