ICML 2019 Workshop AMTL Submissions

Enabling Continual Learning in Neural Networks with Meta Learning
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- Submitted to AMTL 2019
- Readers: Everyone
System Demo for Transfer Learning from Vision to Language using Domain Specific CNN Accelerator for On-Device NLP Applications
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- Submitted to AMTL 2019
- Readers: Everyone
SuperTML: Domain Transfer from Computer Vision to Structured Tabular Data through Two-Dimensional Word Embedding
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- Submitted to AMTL 2019
- Readers: Everyone
Goal-conditioned Imitation Learning
Anonymous
- 16 May 2019 (modified: 22 Oct 2023)
- AMTL 2019
- Readers: Everyone
Learning Exploration Policies for Model-Agnostic Meta-Reinforcement Learning
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Data Enrichment: Multi-task Learning in High Dimension with Theoretical Guarantees
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Learning to learn to communicate
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Personalized Student Stress Prediction with Deep Multi-Task Network
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
TuckER: Tensor Factorization for Knowledge Graph Completion
Anonymous
- 16 May 2019 (modified: 22 Oct 2023)
- AMTL 2019
- Readers: Everyone
Multi-Task Learning via Task Multi-Clustering
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Meta-Reinforcement Learning for Adaptive Autonomous Driving
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
A Meta Understanding of Meta-Learning
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
PAGANDA: An Adaptive Task-Independent Automatic Data Augmentation
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Prototypical Bregman Networks
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Learning Cancer Outcomes from Heterogeneous Genomic Data Sources: An Adversarial Multi-task Learning Approach
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Improving Relevance Prediction with Transfer Learning in Large-scale Retrieval Systems
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Fair Resource Allocation in Federated Learning
Anonymous
- 16 May 2019 (modified: 22 Oct 2023)
- Submitted to AMTL 2019
- Readers: Everyone
Federated Optimization for Heterogeneous Networks
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
The Role of Embedding Complexity in Domain-invariant Representations
Anonymous
- 16 May 2019 (modified: 22 Oct 2023)
- AMTL 2019
- Readers: Everyone
A Functional Extension of Multi-Output Learning
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone
Model Aggregation via Good-Enough Model Spaces
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- Submitted to AMTL 2019
- Readers: Everyone
Adaptive Gradient-Based Meta-Learning Methods
Anonymous
- 16 May 2019 (modified: 22 Oct 2023)
- Submitted to AMTL 2019
- Readers: Everyone
Active Multitask Learning with Committees
Anonymous
- 16 May 2019 (modified: 05 May 2023)
- AMTL 2019
- Readers: Everyone