https://github.com/amazon-research/mix-generation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Papers with Code 아카이브
Language Acquisition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Language acquisition refers to tasks related to the learning of a second language.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/arjun-rao/slam18
https://github.com/blcuicall/ccl2022-cltc
YACLC: A Chinese Learner Corpus with Multidimensional Annotation
https://github.com/congzhang365/feature_tts
Applying Phonological Features in Multilingual Text-To-Speech
https://github.com/cvlab-columbia/expert
https://github.com/elipugh/tilt-transfer-transformers
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models
https://github.com/evaportelance/structure-meaning-learning
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/giampierosalvi/AffordancesAndSpeech
Language Bootstrapping: Learning Word Meanings From Perception-Action Association
https://github.com/henry-prior/multimodal-rl
https://github.com/iampuntre/slam18
https://github.com/kamperh/dpdp_aernn
An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery
https://github.com/maximecb/gym-minigrid
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
https://github.com/mkduer/semantic-fluency-nn
Predicting and Explaining Human Semantic Search in a Cognitive Model
https://github.com/naist-nlp/tubelex
Multi-task Learning for Low-resource Second Language Acquisition Modeling
https://github.com/nyu-mll/CoLA-baselines
https://github.com/oooranz/baby-cothought
https://github.com/ozanarkancan/SAILx
A new dataset and model for learning to understand navigational instructions
https://github.com/praveentn/nlpaeg
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
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
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.