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/Zhefan-Xu/trajectory_optimization
https://github.com/ZhuFengdaaa/minos
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
https://github.com/Zoeyyao27/LLM-Semantic-Size-Understanding
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
https://github.com/abefetterman/hamstir-gym
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
https://github.com/abhshkdz/House3D
https://github.com/aimagelab/mammoth
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
https://github.com/akrlowicz/ppg-blood-pressure-estimation
Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks
https://github.com/aldipiroli/semantic_spray_dataset
SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions
https://github.com/alexnwang/SketchEmbedNet-public
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
https://github.com/allenai/ai2thor-rearrangement
https://github.com/allenai/allennlp-reading-comprehension
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/amiryanj/socialways
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/antoyang/VidChapters
https://github.com/arampacha/reformer_fastai
AutoTrans: Automating Transformer Design via Reinforced Architecture Search
https://github.com/aryopg/mmlu-redux
https://github.com/ashikkapadiya/Video-Motion-Retargeting
Learning Character-Agnostic Motion for Motion Retargeting in 2D
https://github.com/avalon-benchmark/avalon
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
https://github.com/ayusefi/Localization-Papers
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
https://github.com/baichuan-inc/Baichuan-Omni-1.5
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
https://github.com/baichuan-inc/baichuan-13b
https://github.com/baichuan-inc/baichuan-7b
https://github.com/baichuan-inc/baichuan2
https://github.com/baidu/DuReader
https://github.com/barmayo/spatial_attention
https://github.com/bashivanlab/iwisdm
A Dataset and Architecture for Visual Reasoning with a Working Memory
https://github.com/batra-mlp-lab/WAY
https://github.com/bmxitalia/NCRProject
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bunsenfeng/knowledge_card
https://github.com/c0notsilly/advfrequency
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
https://github.com/camel-ai/camel
https://github.com/carriex/lfqa_eval
WebGPT: Browser-assisted question-answering with human feedback
https://github.com/cchinchristopherj/Concert-of-Whales
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
https://github.com/chenkang455/usp-gaussian
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.