
Switched linear projections and inactive state sensitivity for deep neural network interpretability
We introduce switched linear projections for expressing the activity of ...
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Document Clustering Evaluation: Divergence from a Random Baseline
Divergence from a random baseline is a technique for the evaluation of d...
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AutoJacoBin: Autoencoder Jacobian Binary Hashing
Binary codes can be used to speed up nearest neighbor search tasks in la...
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Practical WholeSystem Provenance Capture
Data provenance describes how data came to be in its present form. It in...
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PseudoRecursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks
In general, neural networks are not currently capable of learning tasks ...
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Some Approximation Bounds for Deep Networks
In this paper we introduce new bounds on the approximation of functions ...
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The effect of the choice of neural network depth and breadth on the size of its hypothesis space
We show that the number of unique function mappings in a neural network ...
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Adaptive Approximation Error Models for Efficient Uncertainty Quantification with Application to Multiphase Subsurface Fluid Flow
Samplebased Bayesian inference provides a route to uncertainty quantifi...
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Negative type diversities, a multidimensional analogue of negative type metrics
Diversities are a generalization of metric spaces in which a nonnegativ...
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An O(n n) time Algorithm for computing the Pathlength Distance between Trees
Tree comparison metrics have proven to be an invaluable aide in the reco...
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PseudoRehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
Neural networks can achieve extraordinary results on a wide variety of t...
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On Enactability and Monitorability of Agent Interaction Protocols
Interactions between agents are usually designed from a global viewpoint...
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On the Enactability of Agent Interaction Protocols: Toward a Unified Approach
Interactions between agents are usually designed from a global viewpoint...
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Unsupervised Domain Adaptation using Deep Networks with CrossGrafted Stacks
Popular deep domain adaptation methods have mainly focused on learning d...
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Incorporating social practices in BDI agent systems
When agents interact with humans, either through embodied agents or beca...
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Continuous Integration Theater
Background: Continuous Integration (CI) systems are now the bedrock of s...
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Cyclic Sequence Generators as Program Counters for HighSpeed FPGAbased Processors
This paper compares the performance of conventional radix2 program coun...
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Bayesian inference of species trees using diffusion models
We describe a new and computationally efficient Bayesian methodology for...
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GRImRePR: Prioritising Generating Important Features for PseudoRehearsal
Pseudorehearsal allows neural networks to learn a sequence of tasks wit...
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MIME: Mutual Information Minimisation Exploration
We show that reinforcement learning agents that learn by surprise (surpr...
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Norm violation in online communities – A study of Stack Overflow comments
Norms are behavioral expectations in communities. Online communities are...
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Impact of different belief facets on agents' decision – a refined cognitive architecture
This paper presents a conceptual refinement of agent cognitive architect...
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University of Otago
The University of Otago is New Zealand's first university and a vibrant international centre of learning. It was established in 1869 by Scottish settlers with a strong conviction in the transforming power of education. Today the University has abou...