14 citations · 14 across the 3 of their papers we have counts for
7 papers
Scalable Online Recurrent Learning Using Columnar Neural Networks
Khurram Javed, Martha White, Rich Sutton
Structural credit assignment for recurrent learning is challenging. An algorithm called RTRL can compute gradients for recurrent networks online but is computationally intractable…
Learning Causal Models Online
Khurram Javed, Martha White, Yoshua Bengio
Predictive models -- learned from observational data not covering the complete data distribution -- can rely on spurious correlations in the data for making predictions. These corr…
Is Fast Adaptation All You Need?
Khurram Javed, Hengshuai Yao, Martha White
Gradient-based meta-learning has proven to be highly effective at learning model initializations, representations, and update rules that allow fast adaptation from a few samples. T…
Simultaneous Prediction Intervals for Patient-Specific Survival Curves
Samuel Sokota, Ryan D'Orazio, Khurram Javed +2
Accurate models of patient survival probabilities provide important information to clinicians prescribing care for life-threatening and terminal ailments. A recently developed clas…
Meta-Learning Representations for Continual Learning
Khurram Javed, Martha White
A continual learning agent should be able to build on top of existing knowledge to learn on new data quickly while minimizing forgetting. Current intelligent systems based on neura…
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
Haseeb Shah, Khurram Javed, Faisal Shafait
The ability to learn from incrementally arriving data is essential for any life-long learning system. However, standard deep neural networks forget the knowledge about the old task…