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11/10/2022
Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity
Multilayer Perceptrons struggle to learn certain simple arithmetic tasks...
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05/17/2022
Dynamic DNNs Meet Runtime Resource Management on Mobile and Embedded Platforms
Deep neural network (DNN) inference is increasingly being executed on mo...
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01/20/2022
Physically Embodied Deep Image Optimisation
Physical sketches are created by learning programs to control a drawing ...
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10/15/2021
Shared Visual Representations of Drawing for Communication: How do different biases affect human interpretability and intent?
We present an investigation into how representational losses can affect ...
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10/11/2021
Learning Division with Neural Arithmetic Logic Modules
To achieve systematic generalisation, it first makes sense to master sim...
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09/20/2021
GhostShiftAddNet: More Features from Energy-Efficient Operations
Deep convolutional neural networks (CNNs) are computationally and memory...
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07/26/2021
Language Models as Zero-shot Visual Semantic Learners
Visual Semantic Embedding (VSE) models, which map images into a rich sem...
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07/26/2021
What Remains of Visual Semantic Embeddings
Zero shot learning (ZSL) has seen a surge in interest over the decade fo...
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07/17/2021
Dynamic Transformer for Efficient Machine Translation on Embedded Devices
The Transformer architecture is widely used for machine translation task...
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06/21/2021
Temporal Early Exits for Efficient Video Object Detection
Transferring image-based object detectors to the domain of video remains...
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06/03/2021
Learning to Draw: Emergent Communication through Sketching
Evidence that visual communication preceded written language and provide...
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05/08/2021
Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
Mobile and embedded platforms are increasingly required to efficiently e...
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03/30/2021
Differentiable Drawing and Sketching
We present a bottom-up differentiable relaxation of the process of drawi...
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01/25/2021
The emergence of visual semantics through communication games
The emergence of communication systems between agents which learn to pla...
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01/23/2021
A Primer for Neural Arithmetic Logic Modules
Neural Arithmetic Logic Modules have become a growing area of interest, ...
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10/06/2020
How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning
Recent work suggests that changing Convolutional Neural Network (CNN) ar...
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08/18/2020
Linear Disentangled Representations and Unsupervised Action Estimation
Disentangled representation learning has seen a surge in interest over r...
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02/27/2020
Understanding and Enhancing Mixed Sample Data Augmentation
Mixed Sample Data Augmentation (MSDA) has received increasing attention ...
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11/13/2019
Avoiding hashing and encouraging visual semantics in referential emergent language games
There has been an increasing interest in the area of emergent communicat...
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06/15/2019
Deep Set Prediction Networks
We study the problem of predicting a set from a feature vector with a de...
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06/06/2019
FSPool: Learning Set Representations with Featurewise Sort Pooling
We introduce a pooling method for sets of feature vectors based on sorti...
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01/09/2019
A Biologically Inspired Visual Working Memory for Deep Networks
The ability to look multiple times through a series of pose-adjusted gli...
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12/10/2018
Learning Representations of Sets through Optimized Permutations
Representations of sets are challenging to learn because operations on s...
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09/10/2018
Torchbearer: A Model Fitting Library for PyTorch
We introduce torchbearer, a model fitting library for pytorch aimed at r...
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03/19/2018
Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata
While Wikipedia exists in 287 languages, its content is unevenly distrib...
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02/15/2018
Learning to Count Objects in Natural Images for Visual Question Answering
Visual Question Answering (VQA) models have struggled with counting obje...
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11/01/2017
