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Knowledge Distillation Performs Partial Variance Reduction
Neural Information Processing Systems
Knowledge distillation is a popular approach for enhancing the performance of "student" models, with lower representational capacity, by taking advantage of
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SeeA: Efficient Exploration-Enhanced A Search by Selective Sampling
Neural Information Processing Systems
Three sampling techniques are presented for comparative investigations.
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DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
Neural Information Processing Systems
The code is available in https://github.com/cathyhxh/DIFFER.
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
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Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
Neural Information Processing Systems
Long-tailed visual recognition has received increasing attention recently.
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- Research Report > Experimental Study (0.93)
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