Papers with Code 아카이브

Meta-Learning

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하위 태스크: 3
평가표: 4
보존된 평가 기록: 13

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

<span style="color:grey; opacity: 0.6">( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )</span>

코드

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

https://github.com/centre-for-humanities-computing/llm-tweet-classification

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Chatbots Are Not Reliable Text Annotators

https://github.com/cerenaut/cfsl

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Expanding continual few-shot learning benchmarks to include recognition of specific instances

https://github.com/cfifty/CAML

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Context-Aware Meta-Learning

https://github.com/cfifty/ignite

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Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction

https://github.com/cgye96/a_closer_look_at_3dfsl

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A Closer Look at Few-Shot 3D Point Cloud Classification

https://github.com/changshuowang/GPSFormer

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GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding

https://github.com/charleshsc/HarmoDT

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HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning

https://github.com/charlesjin/synthetic_data

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Towards Context-Agnostic Learning Using Synthetic Data

https://github.com/charliezhaoyinpeng/PDFM

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A Primal-Dual Subgradient Approachfor Fair Meta Learning

https://github.com/chauhanjatin10/GraphsFewShot

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Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures

https://github.com/cheggan/metaaudio-a-few-shot-audio-classification-benchmark

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MetaAudio: A Few-Shot Audio Classification Benchmark

https://github.com/cheggan/mt-slvr

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MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations

https://github.com/chehx/MKCNet

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Image Quality-aware Diagnosis via Meta-knowledge Co-embedding

https://github.com/cheneydon/hrkd

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HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression

https://github.com/chenfan95/sign-maml

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Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD

https://github.com/cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation

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Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

https://github.com/chengcv/dfrfs

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Disentangled Feature Representation for Few-shot Image Classification

https://github.com/chenguolin/nutime

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NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining

https://github.com/chenhaoxing/ASL

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Shaping Visual Representations with Attributes for Few-Shot Recognition

https://github.com/chenhaoxing/cpr

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Conditional Prototype Rectification Prompt Learning

https://github.com/chenhaoxing/etl4video

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Efficient Transfer Learning for Video-language Foundation Models

https://github.com/chenhaoxing/ssformers

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Sparse Spatial Transformers for Few-Shot Learning

https://github.com/chenjiayi68/dmtnet

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Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation

https://github.com/chenmientan/malmen

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Massive Editing for Large Language Models via Meta Learning

https://github.com/chiange/sophon

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SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models

https://github.com/chicagohai/hans-explanations

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Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI

https://github.com/chiragraman/social-processes

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Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting

https://github.com/chiuph/baldwinian-pinn

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Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect

https://github.com/chiyuzhang94/pmlm-sft

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Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning

https://github.com/choko/learning_to_adapt

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Learning to adapt: a meta-learning approach for speaker adaptation

https://github.com/chomd90/conas_release

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One-Shot Neural Architecture Search via Compressive Sensing

https://github.com/chris210634/word_soups

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Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning

https://github.com/chriscarmona/aistats2020smi

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Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components

https://github.com/chriscarmona/modularbayes

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Scalable Semi-Modular Inference with Variational Meta-Posteriors

https://github.com/christopher-beckham/challenges-few-shot-gans

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Overcoming challenges in leveraging GANs for few-shot data augmentation

https://github.com/christoschr97/misinf-detection-llms

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Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models

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