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 3601–3650 of 4891 papers

TitleStatusHype
Efficient Active Learning for Gaussian Process Classification by Error Reduction—0
Few-Shot Data-Driven Algorithms for Low Rank Approximation—0
Sparse DETR: Efficient End-to-End Object Detection with Learnable SparsityCode1
Characteristic Neural Ordinary Differential Equations—0
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
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
MOROCCO: Model Resource Comparison FrameworkCode2
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass—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
Offline Contextual Bandits for Wireless Network Optimization—0
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks—0
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers—0
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender SystemsCode1
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations—0
AI challenges for predicting the impact of mutations on protein stability—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
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
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
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
Computational Efficiency in Multivariate Adversarial Risk Analysis Models—0
Neural Flows: Efficient Alternative to Neural ODEsCode1
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties—0
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox DetectorCode0
Scalable Smartphone Cluster for Deep Learning—0
SOFT: Softmax-free Transformer with Linear ComplexityCode1
Stochastic Primal-Dual Deep Unrolling—0
SIN:Superpixel Interpolation NetworkCode1
On Learning the Transformer KernelCode0
Counting Objects by Diffused Index: geometry-free and training-free approach—0
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies—0
Output Space Entropy Search Framework for Multi-Objective Bayesian OptimizationCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image ClassificationCode1
Action-Sufficient State Representation Learning for Control with Structural Constraints—0
Streaming on-device detection of device directed speech from voice and touch-based invocation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified