Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 33
- 보존된 평가 기록
- 17
Information retrieval is the task of ranking a list of documents or search results in response to a query
<span style="color:grey; opacity: 0.6">( Image credit: sudhanshumittal )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/google/active-qa
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
https://github.com/gotbutchi/Coderschool-Machine-Learning-Final-Project
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review
https://github.com/gregbugaj/unet-denoiser
Binary Document Image Super Resolution for Improved Readability and OCR Performance
https://github.com/grill-lab/codec
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
https://github.com/guillaumejaume/tuto-dl-on-graphs
https://github.com/hackerchenzhuo/LaKo
Distilling Knowledge from Reader to Retriever for Question Answering
https://github.com/hafezgh/Music_genre_classification
Music Artist Classification with Convolutional Recurrent Neural Networks
https://github.com/hahnec/color-matcher
https://github.com/hammoudhasan/diffclip
https://github.com/haradai1262/scdv
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
https://github.com/hle027/IR-Competition
https://github.com/hongyuntw/DPR
https://github.com/hongyuntw/DPR_BESS
https://github.com/hpi-dhc/trec-pm
https://github.com/huggingface/transfer-learning-conv-ai
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/hugochan/PFoodReq
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases
https://github.com/human-analysis/intrinsic-dimensionality
https://github.com/hwang1996/IRGAN-pytorch
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
https://github.com/iYiYaHa/PyTorch-IRGAN
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
https://github.com/ilyassmoummad/ProtoCLR
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
https://github.com/intellabs/rag-retrieval-study
https://github.com/iooops/CS221-Audio-Tagging
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
https://github.com/irgroup/ir_metadata
ir_metadata: An Extensible Metadata Schema for IR Experiments
https://github.com/jastfkjg/semantic-matching
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations
https://github.com/jccarles/product-nets
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
https://github.com/jchanxtarov/topic-model
https://github.com/jetbrains-research/commit_message_generation
https://github.com/jhyuklee/DensePhrases
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/jina-ai/late-chunking
Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
https://github.com/jingtaozhan/LearningToRetrieve
Optimizing Dense Retrieval Model Training with Hard Negatives
https://github.com/jingtaozhan/RepBERT-Index
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently
https://github.com/jjfiv/searchie-extraction
https://github.com/jjmachan/DeepHash
https://github.com/jmg764/CodeSearchNet-Challenge
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/joann8512/GiantMIDI-Piano
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.