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08/28/2023
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
Retrieval augmentation is a powerful but expensive method to make langua...
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05/18/2023
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences
We present our work on developing a multilingual, efficient text-to-text...
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05/08/2023
Multi-Task End-to-End Training Improves Conversational Recommendation
In this paper, we analyze the performance of a multitask end-to-end tran...
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03/17/2023
CoLT5: Faster Long-Range Transformers with Conditional Computation
Many natural language processing tasks benefit from long inputs, but pro...
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02/18/2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits
Algorithmic fairness is an essential requirement as AI becomes integrate...
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05/18/2022
A2C is a special case of PPO
Advantage Actor-critic (A2C) and Proximal Policy Optimization (PPO) are ...
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03/28/2022
LogicInference: A New Dataset for Teaching Logical Inference to seq2seq Models
Machine learning models such as Transformers or LSTMs struggle with task...
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12/15/2021
LongT5: Efficient Text-To-Text Transformer for Long Sequences
Recent work has shown that either (1) increasing the input length or (2)...
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11/12/2021
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data
In this paper we introduce a novel algorithm called Iterative Section Re...
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10/08/2021
Iterative Decoding for Compositional Generalization in Transformers
Deep learning models do well at generalizing to in-distribution data but...
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08/09/2021
Making Transformers Solve Compositional Tasks
Several studies have reported the inability of Transformer models to gen...
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06/19/2021
Improving Compositional Generalization in Classification Tasks via Structure Annotations
Compositional generalization is the ability to generalize systematically...
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05/09/2021
FNet: Mixing Tokens with Fourier Transforms
We show that Transformer encoder architectures can be massively sped up,...
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03/02/2021
The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems
Personalized adaptation technology has been adopted in a wide range of d...
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02/15/2021
Player-Centered AI for Automatic Game Personalization: Open Problems
Computer games represent an ideal research domain for the next generatio...
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02/10/2021
Player Modeling via Multi-Armed Bandits
This paper focuses on building personalized player models solely from pl...
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02/10/2021
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits
This paper explores multi-armed bandit (MAB) strategies in very short ho...
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01/25/2021
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity
Social comparison-based features are widely used in social computing app...
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10/05/2020
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games
Training agents using Reinforcement Learning in games with sparse reward...
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07/28/2020
Big Bird: Transformers for Longer Sequences
Transformers-based models, such as BERT, have been one of the most succe...
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06/25/2020
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
In recent years, Deep Reinforcement Learning (DRL) algorithms have achie...
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05/10/2020
Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach
Concurrent and parallel programming (CPP) is an increasingly important s...
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04/17/2020
ETC: Encoding Long and Structured Data in Transformers
Transformer-based models have pushed the state of the art in many natura...
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02/18/2020
An Overview of Distance and Similarity Functions for Structured Data
The notions of distance and similarity play a key role in many machine l...
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10/26/2019
Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS
This paper presents a preliminary study comparing different observation ...
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08/15/2019
Tracing Player Knowledge in a Parallel Programming Educational Game
This paper focuses on "tracing player knowledge" in educational games. S...
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07/04/2019
Experience Management in Multi-player Games
Experience Management studies AI systems that automatically adapt intera...
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10/13/2017
Combinatorial Multi-armed Bandits for Real-Time Strategy Games
Games with large branching factors pose a significant challenge for game...
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06/23/2016
The VGLC: The Video Game Level Corpus
Levels are a key component of many different video games, and a large bo...
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04/30/2014
A semantic network-based evolutionary algorithm for computational creativity
We introduce a novel evolutionary algorithm (EA) with a semantic network...
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08/09/2012
Experiments with Game Tree Search in Real-Time Strategy Games
Game tree search algorithms such as minimax have been used with enormous...
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04/11/2012