Co-occurring keywords · papers mentioning both
Papers
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract)
AAAI 2020
Differentially Private Learning with Small Public Data
AAAI 2020
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
ACL 2020
Effective Data Augmentation with Multi-Domain Learning GANs
AAAI 2020
Embodied Multimodal Multitask Learning
IJCAI 2020
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge
ACL 2020
Enhancing Simple Models by Exploiting What They Already Know
ICML 2020
EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering
EMNLP 2020
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification
AAAI 2020
Exploring the Boundaries of Low-Resource BERT Distillation
EMNLP 2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
ICLR 2020
Federated Adversarial Domain Adaptation
ICLR 2020
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint
Interspeech 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
CVPR 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
ICML 2020
Graph Few-Shot Learning via Knowledge Transfer
AAAI 2020
GTNet: Generative Transfer Network for Zero-Shot Object Detection
AAAI 2020
Hierarchical Granularity Transfer Learning
NeurIPS 2020
Hierarchical Knowledge Squeezed Adversarial Network Compression
AAAI 2020
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
IJCAI 2020
Knowledge-Based Regularization in Generative Modeling
IJCAI 2020
Knowledge Graph Transfer Network for Few-Shot Recognition
AAAI 2020
Knowledge Transfer for Learning Markov Equivalence Classes
PGM 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
NeurIPS 2020
Learning Constrained Dynamics with Gauss’ Principle adhering Gaussian Processes
L4DC 2020