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Zero-shot Generalization

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

https://github.com/chrisisking/zero-shot-text-classification

공식 코드

Label Agnostic Pre-training for Zero-shot Text Classification

https://github.com/clutr/clutr

공식 코드

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning

https://github.com/clvrai/create

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Generalization to New Actions in Reinforcement Learning

https://github.com/clvrai/new-actions-rl

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Generalization to New Actions in Reinforcement Learning

https://github.com/cogito2012/plid

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Prompting Language-Informed Distribution for Compositional Zero-Shot Learning

https://github.com/comeandcode/MRT

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Re-Imagining Multimodal Instruction Tuning: A Representation View

https://github.com/craftjarvis/mc-controller

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Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction

https://github.com/cranial-xix/marl-copa

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Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition

https://github.com/cshan-github/tonguesam

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TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot

https://github.com/cvlab-columbia/zero123

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Zero-1-to-3: Zero-shot One Image to 3D Object

https://github.com/czg1225/code

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Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient

https://github.com/d-iceice/one-shot-irsts

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One Shot is Enough for Sequential Infrared Small Target Segmentation

https://github.com/dair-iitd/zgul

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ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters

https://github.com/debarshigit/promptmargin

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Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts

https://github.com/dhh1995/SCL

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The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning

https://github.com/drx-code/EquivariantModeling

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Equivariant Image Modeling

https://github.com/dvlab-research/Seg-Zero

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Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

https://github.com/dyballa/generalization

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Zero-shot generalization across architectures for visual classification

https://github.com/dyballa/zero-shot-generalization

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Zero-shot generalization across architectures for visual classification

https://github.com/ecnu-dase-nlp/rqp

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Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts

https://github.com/elaine-sui/tps

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Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models

https://github.com/evzissel/expgen

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Explore to Generalize in Zero-Shot RL

https://github.com/fabiotosi92/nerf-supervised-deep-stereo

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NeRF-Supervised Deep Stereo

https://github.com/facebookresearch/humenv

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Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models

https://github.com/facebookresearch/large_concept_model

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Large Concept Models: Language Modeling in a Sentence Representation Space

https://github.com/facebookresearch/metamotivo

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Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models

https://github.com/fanghaook/ovformer

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Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation

https://github.com/feiliu36/mtnco

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Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization

https://github.com/feiliu36/promptvrp

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Prompt Learning for Generalized Vehicle Routing

https://github.com/foollh/picopose

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PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation

https://github.com/gingl/cmpa

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Deeply Coupled Cross-Modal Prompt Learning

https://github.com/gitbooo/CrossViVit

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Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context

https://github.com/gmc-drl/symbol

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Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

https://github.com/gonglinyuan/metro_t0

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Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers

https://github.com/google-research-datasets/dstc8-schema-guided-dialogue

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Schema-Guided Dialogue State Tracking Task at DSTC8

https://github.com/google-research/language/tree/master/language/labs/consistent_zero_shot_nmt

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Consistency by Agreement in Zero-shot Neural Machine Translation

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