Co-occurring keywords · papers mentioning both
Papers
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning
SemEval 2021
A Bayesian Perspective on Training Speed and Model Selection
NeurIPS 2020
An Improved Latent Low Rank Representation for Automatic Subspace Clustering
IJCAI 2020
Approximate Cross-Validation for Structured Models
NeurIPS 2020
Approximate Cross-validation: Guarantees for Model Assessment and Selection
AISTATS 2020
Approximate Cross-Validation with Low-Rank Data in High Dimensions
NeurIPS 2020
BayesOpt Adversarial Attack
ICLR 2020
Dataless Model Selection With the Deep Frame Potential
CVPR 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
CVPR 2020
Distributionally Robust Formulation and Model Selection for the Graphical Lasso
AISTATS 2020
Don’t Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings
EMNLP 2020
Finding the Homology of Decision Boundaries with Active Learning
NeurIPS 2020
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
ICML 2020
Interpretable Models for Understanding Immersive Simulations
IJCAI 2020
Model Selection for Production System via Automated Online Experiments
NeurIPS 2020
Model Selection in Contextual Stochastic Bandit Problems
NeurIPS 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
AAAI 2020
On hyperparameter tuning in general clustering problemsm
ICML 2020
Open Problem: Model Selection for Contextual Bandits
COLT 2020
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems
IJCAI 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation
AISTATS 2020
Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks
EMNLP 2020
Predictive Multiplicity in Classification
ICML 2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime
ICML 2020
Sparse Learning with CART
NeurIPS 2020