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Multi-Task Reinforcement Learning with Context-based Representations
The benefit of multi-task learning over single-task learning relies on t...
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IIRC: Incremental Implicitly-Refined Classification
We introduce the "Incremental Implicitly-Refined Classi-fication (IIRC)"...
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A Closer Look at Codistillation for Distributed Training
Codistillation has been proposed as a mechanism to share knowledge among...
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Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
This report documents ideas for improving the field of machine learning,...
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Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
Multi-task reinforcement learning is a rich paradigm where information f...
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Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
With the recent wave of progress in artificial intelligence (AI) has com...
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Evaluating Logical Generalization in Graph Neural Networks
Recent research has highlighted the role of relational inductive biases ...
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Invariant Causal Prediction for Block MDPs
Generalization across environments is critical to the successful applica...
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Recurrent Independent Mechanisms
Learning modular structures which reflect the dynamics of the environmen...
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CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
The recent success of natural language understanding (NLU) systems has b...
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Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Reinforcement learning agents that operate in diverse and complex enviro...
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Learning Powerful Policies by Using Consistent Dynamics Model
Model-based Reinforcement Learning approaches have the promise of being ...
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Environments for Lifelong Reinforcement Learning
To achieve general artificial intelligence, reinforcement learning (RL) ...
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On Training Recurrent Neural Networks for Lifelong Learning
Capacity saturation and catastrophic forgetting are the central challeng...
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Compositional Language Understanding with Text-based Relational Reasoning
Neural networks for natural language reasoning have largely focused on e...
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Spatial Co-location Pattern Mining - A new perspective using Graph Database
Spatial co-location pattern mining refers to the task of discovering the...
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Memory Augmented Self-Play
Self-play is an unsupervised training procedure which enables the reinfo...
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Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering"
This is the reproducibility report for the paper "Learning To Count Obje...
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Survey of Recent Advances in Visual Question Answering
Visual Question Answering (VQA) presents a unique challenge as it requir...
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Reinforcement Learning Based Conversational Search Assistant
In this work, we develop an end-to-end Reinforcement Learning based arch...
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Stack Exchange Tagger
The goal of our project is to develop an accurate tagger for questions p...
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