CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- Ruchir Puri
- David Kung
- et al.
- 2021
- NeurIPS 2021
Conference paper
Publications
1650 results for Machine Learning
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
- Michael Boratko
- Dongxu Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paperA Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Conference paperMEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
- Geng Yuan
- Xialong Ma
- et al.
- 2021
- NeurIPS 2021
Conference paperSequence-to-Sequence Learning with Latent Neural Grammars
- Yoon Kim
- 2021
- NeurIPS 2021
Conference paperMeasuring Generalization with Optimal Transport
- Ching-Yao Chuang
- Youssef Mroueh
- et al.
- 2021
- NeurIPS 2021
Conference paperSeparation results between fixed-kernel and feature-learning probability metrics
- Carles Domingo-Enrich
- Youssef Mroueh
- 2021
- NeurIPS 2021
Conference paperTaming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
- Xin Zhang
- Zhuqing Liu
- et al.
- 2021
- NeurIPS 2021
Conference paperAsymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
- Kohei Miyaguchi
- 2021
- NeurIPS 2021
Conference paperCoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
- Isha Puri
- Amit Dhurandhar
- et al.
- 2021
- NeurIPS 2021
Conference paper