https://github.com/DannyMerkx/caption2image
공식 코드Learning semantic sentence representations from visually grounded language without lexical knowledge
Papers with Code 아카이브
Grounded language learning
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Acquire the meaning of language in situated environments.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DannyMerkx/speech2image
공식 코드https://github.com/INK-USC/VG-CCL
공식 코드Visually Grounded Continual Learning of Compositional Phrases
https://github.com/INK-USC/VisCOLL
공식 코드Visually Grounded Continual Learning of Compositional Phrases
https://github.com/PaddlePaddle/XWorld
공식 코드Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game
https://github.com/Shawn-Guo-CN/EmergentNumerals
공식 코드Emergence of Numeric Concepts in Multi-Agent Autonomous Communication
https://github.com/aalto-ai/sparse-compgen
공식 코드Compositional Generalization in Grounded Language Learning via Induced Model Sparsity
https://github.com/caotians1/BabyAIPlusPlus
공식 코드Zero-Shot Compositional Policy Learning via Language Grounding
https://github.com/deepmind/lab/tree/master/game_scripts/levels/contributed/fast_mapping
공식 코드https://github.com/jmerullo/affordances
공식 코드Pretraining on Interactions for Learning Grounded Affordance Representations
https://github.com/kadarakos/mulisera
공식 코드https://github.com/khanhptnk/iliad
공식 코드https://github.com/mila-iqia/babyai
공식 코드BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
https://github.com/modularcogsci2022/msa
공식 코드Improving Systematic Generalization Through Modularity and Augmentation
https://github.com/necla-ml/SNLI-VE
공식 코드Visual Entailment Task for Visually-Grounded Language Learning
https://github.com/salesforce/lavis
공식 코드Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/vzhong/silg
공식 코드SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
https://github.com/EvLab-MIT/LexiContrastiveGrd
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
https://github.com/MathijsMul/babyai-emergent-guidance
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
https://github.com/SophiaAr/OpenAI-final-project
https://github.com/amazon-research/mix-generation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/facebookresearch/multimodal
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/farama-foundation/minigrid
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
https://github.com/francesco-AI/ReasoningAgent2020
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
https://github.com/henry-prior/multimodal-rl
https://github.com/maximecb/gym-minigrid
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
https://github.com/ozanarkancan/SAILx
A new dataset and model for learning to understand navigational instructions
https://github.com/reallygooday/60daysofudacity
https://github.com/sIncerass/prag_generation
https://github.com/salesforce/ALBEF
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/salesforce/pb-ovd
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/styfeng/tinydialogues
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
https://github.com/taungerine/babyai
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
https://github.com/yuliangcai2022/clumo
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.