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Computational Efficiency

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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.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/blasif/j.environ.2024

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A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling

https://github.com/blinkdl/chatrwkv

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RWKV: Reinventing RNNs for the Transformer Era

https://github.com/blt2114/twisted_diffusion_sampler

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Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

https://github.com/bobye/batchnorm_prune

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Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

https://github.com/bobye/d2_kmeans

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Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support

https://github.com/bokveizen/Feedback-Gradient-Descent

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Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs

https://github.com/boreshkinai/hybrik-transformer

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3D Human Pose and Shape Estimation via HybrIK-Transformer

https://github.com/boreshkinai/protores

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ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics

https://github.com/boschresearch/Structured_DGP

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Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties

https://github.com/boschresearch/transfersafesequentiallearning

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Global Safe Sequential Learning via Efficient Knowledge Transfer

https://github.com/bpro2410/seeded-poisson-factorization

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Seeded Poisson Factorization: Leveraging domain knowledge to fit topic models

https://github.com/braincog-x/brain-cog

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TIM: An Efficient Temporal Interaction Module for Spiking Transformer

https://github.com/brianc0413/peak

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Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams

https://github.com/bsharchilev/influence_boosting

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Finding Influential Training Samples for Gradient Boosted Decision Trees

https://github.com/btfrontier/polygon_mapping

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Real-Time Polygonal Semantic Mapping for Humanoid Robot Stair Climbing

https://github.com/btheodorou/knowledgeinfusion

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ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation

https://github.com/buaa-clab/reasoningv

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ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model

https://github.com/bugs-creator/latentartifusion

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LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration Framework

https://github.com/buhuiok/taet-two-stage-adversarial-equalization-training-on-long-tailed-distributions

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TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions

https://github.com/bw-park/ACSSM

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Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series

https://github.com/bytedance/byteff

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Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space Coverage

https://github.com/bytedance/flux

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Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts

https://github.com/bytedance/schurvins

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SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System

https://github.com/caesarcai/AAP-Hankel

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Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery

https://github.com/caesarcai/ASAP-Hankel

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Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery

https://github.com/caesarcai/AccAltProj_for_RPCA

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Accelerated Alternating Projections for Robust Principal Component Analysis

https://github.com/caesarcai/IRCUR

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Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation

https://github.com/callmeray/PointMVSNet

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Point-Based Multi-View Stereo Network

https://github.com/calvintanama/qd-driver-activity-reco

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Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments

https://github.com/camlab-ethz/dse-for-neuraloperators

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Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains

https://github.com/camlab-ethz/gaot

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Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains

https://github.com/capricornguang/decomcam

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DecomCAM: Advancing Beyond Saliency Maps through Decomposition and Integration

https://github.com/carluerjb/3d_sift_cuda

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GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor

https://github.com/cassiofragadantas/LUCAS_LULC

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Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover Mapping

https://github.com/cecilia-xue/agt

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Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image Classification

https://github.com/ceciliavision/zoom-learn-zoom

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Real-World Single Image Super-Resolution: A Brief Review

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.