A Deep Learning application towards transparent communication for Payment for Forest Environmental Services (PES)
- Ngoc Lan Hoang
- Thu-Thuy Pham
- 2021
- NeurIPS 2021
Workshop paper
Publications
98 results at NeurIPS 2021
Leveraging Adversarial Reprogramming for Novel Structure-constrained Protein Sequence Design
- Devleena Das
- Inkit Padhi
- et al.
- 2021
- NeurIPS 2021
Workshop paperMAML is a Noisy Contrastive Learner
- Chia-Hsiang Kao
- Wei-Chen Chiu
- et al.
- 2021
- NeurIPS 2021
Workshop paperMath Programming based Reinforcement Learning for Multi-Echelon Inventory Management
- Pavithra Harsha
- Ashish Jagmohan
- et al.
- 2021
- NeurIPS 2021
Workshop paperGround-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets
- Kofi Arhin
- Ioana Baldini Soares
- et al.
- 2021
- NeurIPS 2021
Workshop paperFair Data Generation using Language Models with Hard Constraints
- SK Mainul Islam
- Abhinav Nagpal
- et al.
- 2021
- NeurIPS 2021
Workshop paperPessimistic Model Selection for Offline Deep Reinforcement Learning
- Chao-Han Huck Yang
- Zhengling Qi
- et al.
- 2021
- NeurIPS 2021
Workshop paperAccurate Multi-Endpoint Molecular Toxicity Predictions in Humans with Contrastive Explanations
- Bhanushee Sharma
- Vijil Vijil
- et al.
- 2021
- NeurIPS 2021
Workshop paperExpose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
- Claudio Santos Pinhanez
- 2021
- NeurIPS 2021
Workshop paperBenchmarking deep generative models for diverse antibody sequence design
- Igor Melnyk
- Payel Das
- et al.
- 2021
- NeurIPS 2021
Workshop paper