https://github.com/tamim-el/dsokr
공식 코드Deep Sketched Output Kernel Regression for Structured Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Deep Sketched Output Kernel Regression for Structured Prediction
Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
Accelerating Vision-Language Pretraining with Free Language Modeling
Fully Neural Network Mode Based Intra Prediction of Variable Block Size
ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings
A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling
Context-adaptive neural network based prediction for image compression
Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
Incorporating Chinese Characters of Words for Lexical Sememe Prediction
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction
Prediction of microstructural representativity from a single image
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.