Papers with Code 아카이브

Logical Reasoning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

22

평가표

10

보존된 평가 기록

65

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/GauthierDmn/question_answering

Bidirectional Attention Flow for Machine Comprehension

https://github.com/HDCVLab/MC-Blur-Dataset

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

https://github.com/InternLM/opencompass

NeedleBench: Can LLMs Do Retrieval and Reasoning in Information-Dense Context?

https://github.com/Jacfger/simple-stuffs

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

https://github.com/JiahuiSun/Exp-Graph-WaveNet

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

https://github.com/Jiaxin-Ye/DepMamba

LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild

https://github.com/JohnKurian/R2D2

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

https://github.com/KarhouTam/FL-bench

Personalized Federated Learning via Feature Distribution Adaptation

https://github.com/KarolisRam/colour-shape-goal-misgeneralization

Goal Misgeneralization in Deep Reinforcement Learning

https://github.com/KellyYutongHe/satellite-pixel-synthesis-pytorch

Functional Map of the World

https://github.com/LisaAnne/DCC

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

https://github.com/LucaHermes/lightweight-motion-forecasting

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

https://github.com/MaximeBouton/AutomotiveSafeRL

Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments

https://github.com/MindSpore-scientific-2/code-4/tree/main/HTM-mindspore

Towards mental time travel: a hierarchical memory for reinforcement learning agents

https://github.com/MindSpore-scientific-2/code-5/tree/main/HTM-mindspore

Towards mental time travel: a hierarchical memory for reinforcement learning agents

https://github.com/MindSpore-scientific-2/code-7/blob/main/ms_spike_rev_reuse.py

SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams

https://github.com/MohammadHeydari/ResearchGate

Analysis of ResearchGate, A Community Detection Approach

https://github.com/Nikolai10/MRIC

Multi-Realism Image Compression with a Conditional Generator

https://github.com/OpenSourceAI/sota-server

Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming

https://github.com/Pranav21091996/Semantic_Fidelity-and-Egoshots

Decoupled Novel Object Captioner

https://github.com/Qi-Zhangyang/GPT4Scene

VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning

https://github.com/Qianvenh/CDGLT

Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification

https://github.com/RoblabWh/RobLearn

Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments

https://github.com/SGPHD/E-Scooter_Rider_Detection_Dataset

E-Scooter Rider Detection and Classification in Dense Urban Environments

https://github.com/SamuelGong/Pisces

Pisces: Efficient Federated Learning via Guided Asynchronous Training

https://github.com/Shravsridhar/NLP-Question-Answer-Model

Bidirectional Attention Flow for Machine Comprehension

https://github.com/Shravsridhar/QA-Model-INFO-7374

Bidirectional Attention Flow for Machine Comprehension

https://github.com/StanfordVL/STR-PIP

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

https://github.com/StevenGerrad/large-scale-Evolution-Net

Large-Scale Evolution of Image Classifiers

https://github.com/TAMU-VITA/DeblurGANv2

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

https://github.com/Tsinghua-MARS-Lab/vectormapnet

VectorMapNet: End-to-end Vectorized HD Map Learning

https://github.com/TurtleZhong/AVP-SLAM-SIM

AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot

https://github.com/UlisseMini/procgen-tools

Goal Misgeneralization in Deep Reinforcement Learning

https://github.com/ViswanathaReddyGajjala/FewShotWithoutForgetting

Dynamic Few-Shot Visual Learning without Forgetting

https://github.com/Wadaboa/squad-question-answering

Bidirectional Attention Flow for Machine Comprehension

https://github.com/Wanqianxn/usfa

Universal Successor Features Approximators

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.