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Model Selection

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Given a set of candidate models, the goal of Model Selection is to select the model that best approximates the observed data and captures its underlying regularities. Model Selection criteria are defined such that they strike a balance between the goodness of fit, and the generalizability or complexity of the models.

Source: Kernel-based Information Criterion

코드

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

https://github.com/brinnaebent/semantic-consistency-score

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Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation

https://github.com/buddi-ai/ciams

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Clustering Indices based Automatic Classification Model Selection

https://github.com/bytedance/paragen

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PARAGEN : A Parallel Generation Toolkit

https://github.com/calvincbzhang/orso

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ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization

https://github.com/camma-public/attention-tripnet

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Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

https://github.com/camma-public/ivtmetrics

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Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

https://github.com/camma-public/tripnet

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Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

https://github.com/carpyncho/carpyncho-py

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Automatic Catalog of RRLyrae from $\sim$ 14 million VVV Light Curves: How far can we go with traditional machine-learning?

https://github.com/casparil/embedding-model-similarity

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Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems

https://github.com/caus-am/aelsem

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Algebraic Equivalence of Linear Structural Equation Models

https://github.com/chaoliatriken/tngps

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tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

https://github.com/charliemarx/pmtools

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Predictive Multiplicity in Classification

https://github.com/chenpf1025/RobustnessAccuracy

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Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

https://github.com/chenxing1999/recsys-benchmark

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A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems

https://github.com/chenyuanTKCY/KDSelector

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KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection

https://github.com/chingyaoc/estimating-generalization

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Estimating Generalization under Distribution Shifts via Domain-Invariant Representations

https://github.com/christopher-beckham/validation-metrics-offline-mbo

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Exploring validation metrics for offline model-based optimisation with diffusion models

https://github.com/clelidm/MinCompSpin

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Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary Order

https://github.com/clementchauvet/py-hbic

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HBIC: A Biclustering Algorithm for Heterogeneous Datasets

https://github.com/clm07/uniasm

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UniASM: Binary Code Similarity Detection without Fine-tuning

https://github.com/clovaai/wsolevaluation

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Evaluating Weakly Supervised Object Localization Methods Right

https://github.com/codelion/optillm/blob/main/optillm/rto.py

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Patched RTC: evaluating LLMs for diverse software development tasks

https://github.com/compstat-lmu/paper_2019_multiobjective_rfms

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High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions

https://github.com/compstat-lmu/paper_2019_variationalResampleDistributionShift

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Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift

https://github.com/conorwalsh99/ml-for-sports-betting

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Machine learning for sports betting: should model selection be based on accuracy or calibration?

https://github.com/corradomonti/learnable-opinion-dynamics

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Learning Opinion Dynamics From Social Traces

https://github.com/criteo-research/optimization-continuous-action-crm

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Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline Evaluation

https://github.com/cuibaby/dpk

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Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation

https://github.com/cvai-repo/duality-diagram-similarity

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Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning

https://github.com/cvangysel/cuNVSM

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Neural Vector Spaces for Unsupervised Information Retrieval

https://github.com/d1nofuzi/biasbed

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BiasBed -- Rigorous Texture Bias Evaluation

https://github.com/d909b/drnet

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Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

https://github.com/danieledurante/ESBM

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Extended Stochastic Block Models with Application to Criminal Networks

https://github.com/daod/inters

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INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning

https://github.com/datrikintelligence/stacked-dcnn-rul-phm21

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A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine

https://github.com/david-friede/lddr

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Learning Disentangled Discrete Representations

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