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Zero-shot Generalization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/skoltech-nlp/sgdd-tst
Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
https://github.com/stonybrooknlp/musique
https://github.com/sumitsk/marl_transfer
Learning Transferable Cooperative Behavior in Multi-Agent Teams
https://github.com/supermedintel/one-prompt
https://github.com/thygate/stable-diffusion-webui-depthmap-script
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
https://github.com/ukplab/arxiv2022-context-injection-stance
Multitask Prompted Training Enables Zero-Shot Task Generalization
https://github.com/vimalabs/VIMA
https://github.com/visioncortex/vtracer
Visually Descriptive Language Model for Vector Graphics Reasoning
https://github.com/weijianan1/logichoi
https://github.com/xiandaguo/openstereo
https://github.com/xukechun/Vision-Language-Grasping
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
https://github.com/yoonkim/neural-qcfg
https://github.com/zhuzhicai/SQuAD2.0-Baseline-Test-with-BiDAF-No-Answer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.