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Detecting GAN generated errors
Despite an impressive performance from the latest GAN for generating hyp...
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Instance Segmentation based Semantic Matting for Compositing Applications
Image compositing is a key step in film making and image editing that ai...
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Boosting Image Recognition with Non-differentiable Constraints
In this paper, we study the problem of image recognition with non-differ...
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Avoidance Learning Using Observational Reinforcement Learning
Imitation learning seeks to learn an expert policy from sampled demonstr...
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TarMAC: Targeted Multi-Agent Communication
We explore a collaborative multi-agent reinforcement learning setting wh...
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Uncertainty Evaluation Metric for Brain Tumour Segmentation
In this paper, we develop a metric designed to assess and rank uncertain...
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Empirical confidence estimates for classification by deep neural networks
How well can we estimate the probability that the classification, C(f(x)...
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Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Training an agent to solve control tasks directly from high-dimensional ...
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Efficient Graph Generation with Graph Recurrent Attention Networks
We propose a new family of efficient and expressive deep generative mode...
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Marginalized State Distribution Entropy Regularization in Policy Optimization
Entropy regularization is used to get improved optimization performance ...
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FIGR: Few-shot Image Generation with Reptile
Generative Adversarial Networks (GAN) boast impressive capacity to gener...
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On the Pitfalls of Measuring Emergent Communication
How do we know if communication is emerging in a multi-agent system? The...
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Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
The ability to detect and track objects in the visual world is a crucial...
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Options of Interest: Temporal Abstraction with Interest Functions
Temporal abstraction refers to the ability of an agent to use behaviours...
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Optimizing Through Learned Errors for Accurate Sports Field Registration
We propose an optimization-based framework to register sports field temp...
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DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
In this paper, we propose a real-time deep-learning approach for determi...
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Using Machine Learning to Automate Mammogram Images Analysis
Breast cancer is the second leading cause of cancer-related death after ...
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Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods
Recent analyses of certain gradient descent optimization methods have sh...
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On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
The NLP and ML communities have long been interested in developing model...
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Learning normalizing flows from Entropy-Kantorovich potentials
We approach the problem of learning continuous normalizing flows from a ...
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Natural Environment Benchmarks for Reinforcement Learning
While current benchmark reinforcement learning (RL) tasks have been usef...
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CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Despite recent successes of reinforcement learning (RL), it remains a ch...
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Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework
Weakly supervised object localization (WSOL) models aim to locate object...
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No Press Diplomacy: Modeling Multi-Agent Gameplay
Diplomacy is a seven-player non-stochastic, non-cooperative game, where ...
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Deterministic Gaussian Averaged Neural Networks
We present a deterministic method to compute the Gaussian average of neu...
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Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction
Text-based games are a natural challenge domain for deep reinforcement l...
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Local semi-supervised approach to brain tissue classification in child brain MRI
Most segmentation methods in child brain MRI are supervised and are base...
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Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
A major challenge in reinforcement learning is the design of exploration...
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Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition
Recently, the connectionist temporal classification (CTC) model coupled ...
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The relativistic discriminator: a key element missing from standard GAN
In standard generative adversarial network (SGAN), the discriminator est...
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Adversarial Geometry and Lighting using a Differentiable Renderer
Many machine learning classifiers are vulnerable to adversarial attacks,...
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Sequence Level Semantics Aggregation for Video Object Detection
Video objection detection (VID) has been a rising research direction in ...
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Intervention Design for Effective Sim2Real Transfer
The goal of this work is to address the recent success of domain randomi...
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Language GANs Falling Short
Generating high-quality text with sufficient diversity is essential for ...
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Adversarial Boot Camp: label free certified robustness in one epoch
Machine learning models are vulnerable to adversarial attacks. One appro...
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A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Sequential data often possesses a hierarchical structure with complex de...
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Modeling User Exposure in Recommendation
Collaborative filtering analyzes user preferences for items (e.g., books...
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A Low-Power Content-Addressable-Memory Based on Clustered-Sparse-Networks
A low-power Content-Addressable-Memory (CAM) is introduced employing a n...
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Learnings Options End-to-End for Continuous Action Tasks
We present new results on learning temporally extended actions for conti...
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Exploration in NetHack with Secret Discovery
Roguelike games generally feature exploration problems as a critical, ye...
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SIMILARnet: Simultaneous Intelligent Localization and Recognition Network
Global Average Pooling (GAP) [4] has been used previously to generate cl...
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Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task
Accumulating evidence suggest that human behavior in trial-and-error lea...
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Long-Distance Loop Closure Using General Object Landmarks
Visual localization under large changes in scale is an important capabil...
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Ubenwa: Cry-based Diagnosis of Birth Asphyxia
Every year, 3 million newborns die within the first month of life. Birth...
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Personalization of Saliency Estimation
Most existing saliency models use low-level features or task description...
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WAYLA - Generating Images from Eye Movements
We present a method for reconstructing images viewed by observers based ...
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Bayesian Hypernetworks
We propose Bayesian hypernetworks: a framework for approximate Bayesian ...
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Alpha-Divergences in Variational Dropout
We investigate the use of alternative divergences to Kullback-Leibler (K...
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ASR error management for improving spoken language understanding
This paper addresses the problem of automatic speech recognition (ASR) e...
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Underwater Multi-Robot Convoying using Visual Tracking by Detection
We present a robust multi-robot convoying approach that relies on visual...
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