https://github.com/iliasprc/slrzoo
공식 코드A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/imatge-upc/vqa-2016-cvprw
공식 코드https://github.com/imohammad12/grs
공식 코드GRS: Combining Generation and Revision in Unsupervised Sentence Simplification
https://github.com/ina-foss/twembeddings
공식 코드https://github.com/indobenchmark/indonlu
공식 코드IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding
https://github.com/ink-usc/fewner
공식 코드Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
https://github.com/ink-usc/sparse-distillation
공식 코드Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
https://github.com/insomnia94/DTWREG
공식 코드Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding
https://github.com/insomnia94/ISREG
공식 코드Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
https://github.com/insundaycathy/event-causality-extraction
공식 코드https://github.com/insundaycathy/m-symon
공식 코드Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding
https://github.com/intel/TVP
공식 코드Text-Visual Prompting for Efficient 2D Temporal Video Grounding
https://github.com/intuit-ai-research/dcr-consistency
공식 코드https://github.com/ipouyall/can-llms-be-lateral-thinkers
공식 코드uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
https://github.com/ir-nlp-csui/indonli
공식 코드IndoNLI: A Natural Language Inference Dataset for Indonesian
https://github.com/ir2718/similarity-embedding-quality
공식 코드Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
https://github.com/irenezihuili/hipool
공식 코드https://github.com/is5882/uu-tax
공식 코드https://github.com/isakzhang/absa-quad
공식 코드https://github.com/isarth/SemEval9_MIDAS
공식 코드https://github.com/isenglab/stp
공식 코드https://github.com/ishalyminov/babi_tools
공식 코드Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena
https://github.com/ishita-dg/ScrambleTests
공식 코드https://github.com/isl-mt/SemanticWordReplacement-LREC2018
공식 코드https://github.com/isspek/cross-lingual-cyberbullying
공식 코드Unified and Multilingual Author Profiling for Detecting Haters
https://github.com/isvy08/usdp
공식 코드https://github.com/ivanmontero/autobot
공식 코드Sentence Bottleneck Autoencoders from Transformer Language Models
https://github.com/ivoryayang/NushuRescue
공식 코드NushuRescue: Revitalization of the Endangered Nushu Language with AI
https://github.com/ixomaxip/hasoc
공식 코드https://github.com/j6mes/eacl2021-debias-finetuning
공식 코드https://github.com/jabalazs/gating
공식 코드Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
https://github.com/jabalazs/implicit_emotion
공식 코드IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
https://github.com/jabalazs/repeval_rivercorners
공식 코드Refining Raw Sentence Representations for Textual Entailment Recognition via Attention
https://github.com/jacklxc/ParagraphJointModel
공식 코드A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
https://github.com/jacklxc/corwa
공식 코드https://github.com/jackroos/VL-BERT
공식 코드VL-BERT: Pre-training of Generic Visual-Linguistic Representations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.