Papers with Code 아카이브
Learning Theory
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Learning theory
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach
The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well
Learning Theory of Decentralized Robust Kernel-Based Learning Algorithm
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
A Machine Learning Theory Perspective on Strategic Litigation
Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks
Learning DNF through Generalized Fourier Representations
Distribution free M-estimation
Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing Images
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review
An Asymptotic Equation Linking WAIC and WBIC in Singular Models
Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
Learning Guarantee of Reward Modeling Using Deep Neural Networks
New Statistical and Computational Results for Learning Junta Distributions
Lower Bounds for Greedy Teaching Set Constructions
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework
Data Selection for ERMs
Erzeugunsgrad, VC-Dimension and Neural Networks with rational activation function
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability
Programs as Singularities
Learning to erase quantum states: thermodynamic implications of quantum learning theory
DDPM Score Matching and Distribution Learning
Resurrecting Socrates in the Age of AI: A Study Protocol for Evaluating a Socratic Tutor to Support Research Question Development in Higher Education
Deep Neural Nets as Hamiltonians
Quantum Neural Network Restatement of Markov Jump Process
Quantum advantage for learning shallow neural networks with natural data distributions
Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime
Semi-Gradient SARSA Routing with Theoretical Guarantee on Traffic Stability and Weight Convergence
Borsuk-Ulam and Replicable Learning of Large-Margin Halfspaces
Spherical dimension
Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.