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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/cedricbeaulac/fae

공식 코드

Functional Autoencoder for Smoothing and Representation Learning

https://github.com/cenyou/transfersafesequentiallearning

공식 코드

Global Safe Sequential Learning via Efficient Knowledge Transfer

https://github.com/cgraywang/gluon-nlp-1

공식 코드

Language Models with Transformers

https://github.com/chaimi2013/FAMED-Net

공식 코드

FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network

https://github.com/chan8972/Spike-FlowNet

공식 코드

Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks

https://github.com/chandlerguan/transkimmer

공식 코드

Transkimmer: Transformer Learns to Layer-wise Skim

https://github.com/chang-github-00/llm-predictive-decoding

공식 코드

Non-myopic Generation of Language Models for Reasoning and Planning

https://github.com/changsn/FlexDiT

공식 코드

FlexDiT: Dynamic Token Density Control for Diffusion Transformer

https://github.com/chaoliatriken/tnale

공식 코드

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations

https://github.com/chaolongy/kdtalker

공식 코드

Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait

https://github.com/chencn2020/mobileiqa

공식 코드

MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation

https://github.com/chendiqian/IPR-MPNN

공식 코드

Probabilistic Graph Rewiring via Virtual Nodes

https://github.com/chendrag/sfbc

공식 코드

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

https://github.com/chengtaicao/awesome-mix

공식 코드

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability

https://github.com/chengtan9907/OpenSTL

공식 코드

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

https://github.com/chengtan9907/simvpv2

공식 코드

SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning

https://github.com/chengxuphd/dcr

공식 코드

DCR: Quantifying Data Contamination in LLMs Evaluation

https://github.com/chengzhang-uci/RNSHMC

공식 코드

Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases

https://github.com/chenlicodebank/lora_on_analog_hardware

공식 코드

Efficient Deployment of Transformer Models in Analog In-Memory Computing Hardware

https://github.com/chenshunpeng/FoL

공식 코드

Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition

https://github.com/chenyangzhu1/multibooth

공식 코드

MultiBooth: Towards Generating All Your Concepts in an Image from Text

https://github.com/chenzhaiyu/points2poly

공식 코드

Reconstructing Compact Building Models from Point Clouds Using Deep Implicit Fields

https://github.com/chiayewken/Span-ASTE

공식 코드

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction

https://github.com/chikkkit/larctan-skan

공식 코드

LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric Function

https://github.com/chirikjianlab/marching-primitives

공식 코드

Marching-Primitives: Shape Abstraction from Signed Distance Function

https://github.com/chkwon/TSPDrone-RL

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A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone

https://github.com/chrazqee/mpe-psn

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Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks

https://github.com/chrisdud0257/gsasr

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Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution

https://github.com/christianinterno/autoflip

공식 코드

Federated Hybrid Model Pruning through Loss Landscape Exploration

https://github.com/chujiezheng/llm-mcq-bias

공식 코드

Large Language Models Are Not Robust Multiple Choice Selectors

https://github.com/chunyuyuan/mucm-net

공식 코드

MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation

https://github.com/ciarapb/recovering_bandits

공식 코드

Recovering Bandits

https://github.com/cics-nd/cnn-inversion

공식 코드

Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification

https://github.com/cics-nd/dcedn-gcs

공식 코드

Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

https://github.com/circejie/hdifftg

공식 코드

HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose Estimation

https://github.com/ckovach/DBT

공식 코드

The demodulated band transform

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