Papers with Code 아카이브
Logical Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/easywalk-prin/opennav
공식 코드OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation
https://github.com/ebennequin/meta-domain-shift
공식 코드Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
https://github.com/edwardleelpz/powerbev
공식 코드PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View
https://github.com/egangu/structfact
공식 코드Reasoning Factual Knowledge in Structured Data with Large Language Models
https://github.com/ejcorn/brain_states
공식 코드https://github.com/eku127/dualmap
공식 코드https://github.com/eladsegal/strategyqa
공식 코드Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
https://github.com/elemisi/vael
공식 코드VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
https://github.com/eleurent/highway-env
공식 코드Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios
https://github.com/emerge-lab/gpudrive
공식 코드GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
https://github.com/emi-group/evox
공식 코드EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
https://github.com/emmagg6/transitionsthreetiers
공식 코드Three tiers of computation in transformers and in brain architectures
https://github.com/enajx/HebbianMetaLearning
공식 코드https://github.com/endoluminalsurgicalvision-imr/reflecting-topology-consistency-and-abnormality-via-learnable-attentions
공식 코드Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
https://github.com/endrikacupaj/CARTON
공식 코드https://github.com/enesavc/subreg_deeplearning
공식 코드https://github.com/eric11eca/NeuralLog
공식 코드NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning
https://github.com/ericyang1029/language-acquisition
공식 코드https://github.com/ermongroup/teochat
공식 코드TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
https://github.com/esdalmaijer/artificial_navigators
공식 코드Cumulative culture spontaneously emerges in artificial navigators who are social and memory-guided
https://github.com/esteng/regal_program_learning
공식 코드ReGAL: Refactoring Programs to Discover Generalizable Abstractions
https://github.com/eterwait/dogsurf
공식 코드DogSurf: Quadruped Robot Capable of GRU-based Surface Recognition for Blind Person Navigation
https://github.com/eth-disco/aeye
공식 코드https://github.com/eth-disco/rlp
공식 코드https://github.com/eth-sri/diffai
공식 코드https://github.com/eunsunlee/sgolam
공식 코드SGoLAM: Simultaneous Goal Localization and Mapping for Multi-Object Goal Navigation
https://github.com/evaportelance/vqa-function-word-learning
공식 코드https://github.com/evolvinglmms-lab/lmms-eval
공식 코드LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
https://github.com/expectorlin/navcot
공식 코드NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning
https://github.com/fab-jul/imgcomp-cvpr
공식 코드https://github.com/fabro66/GAST-Net-3DPoseEstimation
공식 코드A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
https://github.com/facebook/UETorch
공식 코드https://github.com/facebookresearch/EmbodiedQA
공식 코드https://github.com/facebookresearch/aira-dojo
공식 코드AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
https://github.com/facebookresearch/coconut
공식 코드Training Large Language Models to Reason in a Continuous Latent Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.