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09/11/2023
Examining the Effect of Pre-training on Time Series Classification
Although the pre-training followed by fine-tuning paradigm is used exten...
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08/06/2023
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation
In recent years, 3D representation learning has turned to 2D vision-lang...
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06/27/2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
In recent years, data-driven reinforcement learning (RL), also known as ...
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06/22/2023
FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping
This work proposes a novel face-swapping framework FlowFace++, utilizing...
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03/23/2023
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
To facilitate research in the direction of fine-tuning foundation models...
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03/07/2023
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video
For few-shot learning, it is still a critical challenge to realize photo...
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02/07/2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Recent advances in multi-agent reinforcement learning (MARL) allow agent...
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12/17/2022
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
Determining causal effects of temporal multi-intervention assists decisi...
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10/28/2022
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation
As a fine-grained and local expression behavior measurement, facial acti...
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04/26/2022
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering
Recent years have witnessed the great accuracy performance of graph-base...
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12/06/2020
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
The development of deep reinforcement learning (DRL) has benefited from ...
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05/31/2019
Reinforcement Learning Experience Reuse with Policy Residual Representation
Experience reuse is key to sample-efficient reinforcement learning. One ...
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09/25/2018
