🏢 University of California, Santa Barbara
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)
·3423 words·17 mins·
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Multimodal Learning
Vision-Language Models
🏢 University of California, Santa Barbara
T2IScoreScore objectively evaluates text-to-image prompt faithfulness metrics using semantic error graphs, revealing that simpler metrics surprisingly outperform complex, computationally expensive one…
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
·2535 words·12 mins·
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Machine Learning
Reinforcement Learning
🏢 University of California, Santa Barbara
State Chrono Representation (SCR) enhances reinforcement learning generalization by incorporating extensive temporal information and cumulative rewards into state representations, improving performanc…
Identifying Equivalent Training Dynamics
·2147 words·11 mins·
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AI Theory
Optimization
🏢 University of California, Santa Barbara
New framework uses Koopman operator theory to identify equivalent training dynamics in deep neural networks, enabling quantitative comparison of different architectures and optimization methods.