Papers with Code 아카이브

Vocal Bursts Intensity Prediction

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보존된 평가 기록: 2

predict the intensity of 10 categorical emotions

코드

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

https://github.com/deep500/deep500

공식 코드

A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning

https://github.com/deepmind/deepmind-research

공식 코드

High-Performance Large-Scale Image Recognition Without Normalization

https://github.com/deepmind/deepmind-research/tree/master/nfnets

공식 코드

High-Performance Large-Scale Image Recognition Without Normalization

https://github.com/deepmind/jax_privacy

공식 코드

Unlocking High-Accuracy Differentially Private Image Classification through Scale

https://github.com/deepmind/neural_testbed

공식 코드

Evaluating High-Order Predictive Distributions in Deep Learning

https://github.com/deepmind/sonnet

공식 코드

Generating Diverse High-Fidelity Images with VQ-VAE-2

https://github.com/deepskies/deepmerge-public

공식 코드

DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks

https://github.com/dh7401/rf-disagreement

공식 코드

Demystifying Disagreement-on-the-Line in High Dimensions

https://github.com/dicarlolab/cornet

공식 코드

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

https://github.com/dicarlolab/neurips2019

공식 코드

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

https://github.com/diegovalsesia/hyperspectral-dequantization

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High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction

https://github.com/difanliu/asset

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ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions

https://github.com/dineshsinghindian/fsnet

공식 코드

FsNet: Feature Selection Network on High-dimensional Biological Data

https://github.com/dingmyu/HR-NAS

공식 코드

HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers

https://github.com/dipteshdas/cp-shim

공식 코드

A Confidence Machine for Sparse High-Order Interaction Model

https://github.com/djiajunustc/Voxel-R-CNN

공식 코드

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

https://github.com/dobriban/dist_ridge

공식 코드

WONDER: Weighted one-shot distributed ridge regression in high dimensions

https://github.com/dobriban/high-dim-risk-experiments

공식 코드

High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification

https://github.com/dougpsg/hif_vegetation_data

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VeHIF: An Accessible Vegetation High-Impedance Fault Data Set Format

https://github.com/dpiras/cosmopower-jax

공식 코드

CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators

https://github.com/dppalomar/highOrderPortfolios

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Solving High-Order Portfolios via Successive Convex Approximation Algorithms

https://github.com/drckf/mlreview_notebooks

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A high-bias, low-variance introduction to Machine Learning for physicists

https://github.com/dselsam/neurocore-public

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Guiding High-Performance SAT Solvers with Unsat-Core Predictions

https://github.com/dvlab-research/Entity

공식 코드

High Quality Segmentation for Ultra High-resolution Images

https://github.com/eezkni/lgfm

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High Dynamic Range Image Quality Assessment Based on Frequency Disparity

https://github.com/elliottwu/DeepHDR

공식 코드

Deep High Dynamic Range Imaging with Large Foreground Motions

https://github.com/eric-vader/HD-BO-Additive-Models

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High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

https://github.com/ericl122333/latent-vae

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High Fidelity Image Synthesis With Deep VAEs In Latent Space

https://github.com/ericl122333/latent-vae-jax

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High Fidelity Image Synthesis With Deep VAEs In Latent Space

https://github.com/erictuanle/cpfn

공식 코드

CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds

https://github.com/ermine516/dilp2

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Differentiable Inductive Logic Programming in High-Dimensional Space

https://github.com/esiivola/hdssbo

공식 코드

Good practices for Bayesian Optimization of high dimensional structured spaces

https://github.com/eszter-kiss/largevars

공식 코드

Asymptotics of Cointegration Tests for High-Dimensional VAR($k$)

https://github.com/ethz-asl/Hough2Map

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Hough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping

https://github.com/eyalrozenberg1/spdcinv

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SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits

https://github.com/f-frida/glsgn

공식 코드

Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration

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