
-
Routing Networks with Co-training for Continual Learning
The core challenge with continual learning is catastrophic forgetting, t...
read it
-
Ranking architectures using meta-learning
Neural architecture search has recently attracted lots of research effor...
read it
-
Gumbel-Matrix Routing for Flexible Multi-task Learning
This paper proposes a novel per-task routing method for multi-task appli...
read it
-
Temporal coding in spiking neural networks with alpha synaptic function
The timing of individual neuronal spikes is essential for biological bra...
read it
-
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents
Recent advances in Neural Architecture Search (NAS) have produced state-...
read it
-
Fast Task-Aware Architecture Inference
Neural architecture search has been shown to hold great promise towards ...
read it
-
Parameter-Efficient Transfer Learning for NLP
Fine-tuning large pre-trained models is an effective transfer mechanism ...
read it
-
Neural Architecture Search Over a Graph Search Space
Neural architecture search (NAS) enabled the discovery of state-of-the-a...
read it
-
Evolutionary-Neural Hybrid Agents for Architecture Search
Neural Architecture Search has recently shown potential to automate the ...
read it
-
Transfer Automatic Machine Learning
Building effective neural networks requires many design choices. These i...
read it
-
Analyzing Language Learned by an Active Question Answering Agent
We analyze the language learned by an agent trained with reinforcement l...
read it
-
Transfer Learning to Learn with Multitask Neural Model Search
Deep learning models require extensive architecture design exploration a...
read it
-
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
We frame Question Answering as a Reinforcement Learning task, an approac...
read it