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08/21/2023
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles
With the continuous evolution and refinement of LLMs, they are endowed w...
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06/28/2023
Diversity is Strength: Mastering Football Full Game with Interactive Reinforcement Learning of Multiple AIs
Training AI with strong and rich strategies in multi-agent environments ...
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04/20/2023
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning
Asymmetrical multiplayer (AMP) game is a popular game genre which involv...
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12/05/2022
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Considerable progress has recently been made in leveraging CLIP (Contras...
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08/14/2022
Underwater Ranker: Learn Which Is Better and How to Be Better
In this paper, we present a ranking-based underwater image quality asses...
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03/30/2021
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation
For unsupervised image-to-image translation, we propose a discriminator ...
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12/29/2020
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge
WebFG 2020 is an international challenge hosted by Nanjing University of...
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09/15/2020
Soft policy optimization using dual-track advantage estimator
In reinforcement learning (RL), we always expect the agent to explore as...
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08/14/2020
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes
The task of room layout estimation is to locate the wall-floor, wall-cei...
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11/22/2019
Graph Pruning for Model Compression
Previous AutoML pruning works utilized individual layer features to auto...
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10/29/2019
Autonomous UAV Landing System Based on Visual Navigation
In this paper, we present an autonomous unmanned aerial vehicle (UAV) la...
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10/29/2019
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation
Semantic road region segmentation is a high-level task, which paves the ...
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10/11/2019
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?
Expressivity is one of the most significant issues in assessing neural n...
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01/03/2019
