Oceania
Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data
Top-down Bird's Eye View (BEV) maps are a popular perceptual representation for ground robot navigation due to their richness and flexibility for downstream
A Benchmark for Evaluating Language Model Fit
Implicitly or explicitly, this data is composed of domains--varying distributions of language.
A Evaluation Tasks 450 Table 4 lists the tasks in our evaluation, and examples from each task
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Provable Partially Observable Reinforcement Learning with Privileged Information Yang Cai
Partial observability of the underlying states generally presents significant challenges for reinforcement learning (RL).
Transformer-based Planning for Symbolic Regression
Extensive experiments on various datasets show that our approach outperforms state-of-the-art methods, enhancing the model's
LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Code for feature engineering Interpreter: Executes generated code T abular Prediction Model: Performs cross-validation.
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
As the field of automated machine learning (AutoML) advances, it becomes increasingly important to incorporate domain knowledge into these systems.