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conftrace_

knowledge transfer

693 papers

KT

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