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08/21/2023
Dataset Quantization
State-of-the-art deep neural networks are trained with large amounts (mi...
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08/03/2023
Thespian: Multi-Character Text Role-Playing Game Agents
Text-adventure games and text role-playing games are grand challenges fo...
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08/03/2023
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories
Imaginative play is an area of creativity that could allow robots to eng...
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07/28/2023
Dialogue Shaping: Empowering Agents through NPC Interaction
One major challenge in reinforcement learning (RL) is the large amount o...
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03/08/2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Data pruning aims to obtain lossless performances as training on the ori...
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01/24/2023
Story Shaping: Teaching Agents Human-like Behavior with Stories
Reward design for reinforcement learning agents can be difficult in situ...
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01/16/2023
Neuro-Symbolic World Models for Adapting to Open World Novelty
Open-world novelty–a sudden change in the mechanics or properties of an ...
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10/23/2022
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
Prompt tuning approaches, which learn task-specific soft prompts for a d...
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05/28/2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Domain Adaptation of Black-box Predictors (DABP) aims to learn a model o...
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05/23/2022
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders
Face recognition, as one of the most successful applications in artifici...
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04/30/2022
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Learning with noisy labels has aroused much research interest since data...
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03/23/2022
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
A robust body of reinforcement learning techniques have been developed t...
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03/03/2022
CAFE: Learning to Condense Dataset by Aligning Features
Dataset condensation aims at reducing the network training effort throug...
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02/16/2022
XFBoost: Improving Text Generation with Controllable Decoders
Multimodal conditionality in transformer-based natural language models h...
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02/07/2022
Crafting Better Contrastive Views for Siamese Representation Learning
Recent self-supervised contrastive learning methods greatly benefit from...
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12/16/2021
Inherently Explainable Reinforcement Learning in Natural Language
We focus on the task of creating a reinforcement learning agent that is ...
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12/16/2021
Guiding Neural Story Generation with Reader Models
Automated storytelling has long captured the attention of researchers fo...
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06/04/2021
Detecting and Adapting to Novelty in Games
Open-world novelty occurs when the rules of an environment can change ab...
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05/04/2021
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
Transformer-based language model approaches to automated story generatio...
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02/25/2021
