🏢 National Key Laboratory for Novel Software Technology, Nanjing University
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
·328 words·2 mins·
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Machine Learning
Reinforcement Learning
🏢 National Key Laboratory for Novel Software Technology, Nanjing University
This paper presents novel RL algorithms using multinomial logit function approximation, achieving O(1) computation and storage while nearly closing the regret gap with linear methods.
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
·1787 words·9 mins·
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Machine Learning
Optimization
🏢 National Key Laboratory for Novel Software Technology, Nanjing University
Sign-based optimization gets a speed boost! This paper introduces new algorithms that significantly accelerate convergence in distributed optimization by cleverly using variance reduction and enhanced…
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
·2601 words·13 mins·
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Computer Vision
Image Classification
🏢 National Key Laboratory for Novel Software Technology, Nanjing University
DiffuLT uses a novel diffusion model to generate balanced training data from imbalanced datasets, achieving state-of-the-art results in long-tailed image recognition without external knowledge.
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
·1987 words·10 mins·
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Natural Language Processing
Large Language Models
🏢 National Key Laboratory for Novel Software Technology, Nanjing University
TP-LLaMA boosts tool-augmented LLMs by optimizing inference trajectories using preference learning from both successful and failed attempts, achieving superior performance and efficiency.