https://github.com/chenlicodebank/dynamic-confidence-in-spiking-neural-networks
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
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/chenziku/train-procgen
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
https://github.com/chrisociepa/allamo
https://github.com/chsanford/cnn-weight-tying
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
https://github.com/chumsy0725/fbc-sa
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
https://github.com/cjandrioli/Deep-MRI-Reconstruction
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
https://github.com/cmubig/SPEC
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/cmubig/socialAttention
https://github.com/codelion/optillm/blob/main/optillm/rstar.py
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
https://github.com/codelion/optillm/blob/main/optillm/self_consistency.py
Self-Consistency Improves Chain of Thought Reasoning in Language Models
https://github.com/coinse/sinvad
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
https://github.com/conceptofmind/PaLM-flax
https://github.com/cshizhe/vln-duet
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation
https://github.com/cshizhe/vln-hamt
History Aware Multimodal Transformer for Vision-and-Language Navigation
https://github.com/csitfun/logiqa2.0
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
https://github.com/ctrlovefly/df4lcz
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
https://github.com/cv516Buaa/tph-yolov5
https://github.com/dada-bots/dadabots_sampleRNN
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
https://github.com/davidgolub/QuestionGeneration
https://github.com/deepsound-project/samplernn-pytorch
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
https://github.com/distractor-generation/dg_survey
https://github.com/dmis-lab/seqtagqa
ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers
https://github.com/dmlc/dgl
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
https://github.com/dsbuddy/gap-llm-safety
https://github.com/dsouzadaniel/BiDAF
https://github.com/dsulem/dynnet
Graph similarity learning for change-point detection in dynamic networks
https://github.com/duxiaoman-di/xuanyuan
https://github.com/dwiggles/AIX360-withdata
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
https://github.com/eBay/KPRN
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
https://github.com/edbeeching/learning_to_plan
https://github.com/eddy6081/ECM_Morphodynamics
Extracellular Matrix regulates the morphodynamics of 3D migrating cancer cells
https://github.com/eddyhkchiu/mahalanobis_3d_multi_object_tracking
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
https://github.com/enajx/ES
https://github.com/erfanMhi/awesome-continual-learning
https://github.com/erfanMhi/awesome-continual-representation-learning
https://github.com/eric-ai-lab/probmed
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.