https://github.com/sforsyth6/cifar_lem
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 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/sforsyth6/coco_lem
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
https://github.com/sforsyth6/lemniscate-original
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
https://github.com/shahviraj/MoRAM
https://github.com/shangjingbo1226/AutoNER
https://github.com/shaoxiongji/awesome-knowledge-graph
https://github.com/shashanksiripragada/pib-crawl
A Multilingual Parallel Corpora Collection Effort for Indian Languages
https://github.com/shenweichen/DeepCTR
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
https://github.com/shenweichen/DeepCTR-PyTorch
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
https://github.com/shibing624/text2vec
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
https://github.com/shijx12/kqapro_baselines
https://github.com/shin-ee-chen/bla
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
https://github.com/shinya7y/manga109api
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
https://github.com/shkarupa-alex/tfclip
Reproducible scaling laws for contrastive language-image learning
https://github.com/shmsw25/GraphRetriever
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
https://github.com/shobrook/sequitur
Beyond Short Snippets: Deep Networks for Video Classification
https://github.com/showlab/region_learner
https://github.com/shriramsb/rationalizing-neural-predictions
https://github.com/shumming/GLE_FLD
https://github.com/sijieaaa/robustloc
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
https://github.com/sjj0403/GSCS
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/skoltech-nlp/russe_detox_2022
https://github.com/sleepthroughdifficulties/kernelwhitening
Whitening Sentence Representations for Better Semantics and Faster Retrieval
https://github.com/smpanaro/token-recycling
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
https://github.com/snap-research/panda-70m
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
https://github.com/snexus/llm-search
https://github.com/snjstudent/MyREALM
https://github.com/soco-ai/SF-QA
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval
https://github.com/soldni/pyterrier_sentence_transformers
Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/solidsea98/neural-corpus-indexer-nci
https://github.com/songyang0716/Topic_Modeling
https://github.com/soombit-ai/cxr-clip
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
https://github.com/soominkwon/Provable-Low-Rank-Phase-Retrieval
https://github.com/soominkwon/Reshaped-Wirtinger-Flow
Reshaped Wirtinger Flow and Incremental Algorithm for Solving Quadratic System of Equations
https://github.com/sophia1488/symbolic-melody-identification
A Convolutional Approach to Melody Line Identification in Symbolic Scores
https://github.com/sounakdey/doodle2search
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.