https://github.com/jorge-martinez-gil/graphcodebert-feature-integration
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 11
- 보존된 평가 기록
- 19
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/joshuaczhao/CNN-Sentence-Classifier-Reproduction
CNN Features off-the-shelf: an Astounding Baseline for Recognition
https://github.com/jramcast/music-genre-classification-audioset
Machine learning for music genre: multifaceted review and experimentation with audioset
https://github.com/jsnouffer/transfer-learning-conv-ai
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/juanjo-cabrera/minkunext
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/julian-risch/PatentMatch-FARM
PatentMatch: A Dataset for Matching Patent Claims & Prior Art
https://github.com/jungokasai/XOR_QA_MTPipeline
https://github.com/junnyu/dpr_paddle
https://github.com/junwang23/deepdirtycodes
A Critical Review of Recurrent Neural Networks for Sequence Learning
https://github.com/justinbellucci/cnn-visualizations-pytorch
https://github.com/jzbjyb/x-factr
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
https://github.com/jzhang38/longmamba
Extending Context Window of Large Language Models via Positional Interpolation
https://github.com/kabirc/predictions-nonconvexopt
https://github.com/kadarakos/mulisera
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/kagnlp/CodeGenerator
https://github.com/kahnchana/RNN
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
https://github.com/kaihe-better/llm-for-healthcare
https://github.com/kaistai/semiparametric_token-sequence_co-supervision
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
https://github.com/kakaobrain/coyo-dataset
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
https://github.com/kakaobrain/cxr-clip
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
https://github.com/kakaobrain/rq-vae-transformer
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
https://github.com/kakaoenterprise/BroadFace
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
https://github.com/kamperh/flickr_semantic_qbe_eval
Semantic query-by-example speech search using visual grounding
https://github.com/kasys-lab/anserini-kasys
https://github.com/kbressem/longhealth
https://github.com/kchen92/text2shape
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
https://github.com/kdexd/lang-emerge-parlai
https://github.com/keetsky/Net_ghostVLAD-pytorch
NetVLAD: CNN architecture for weakly supervised place recognition
https://github.com/keleog/PidginUNMT
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
https://github.com/ken724049/action-recognition
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
https://github.com/ken90242/js-segment-annotator
https://github.com/ketnas/mmfashion-test
MMFashion: An Open-Source Toolbox for Visual Fashion Analysis
https://github.com/keunwoochoi/dl4mir
https://github.com/kevinlu1248/pyate
ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala
https://github.com/kewin1807/table-recognition
https://github.com/khalil-research/pyepo
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.