A Differentiable Point Process with Its Application to Spiking Neural Networks
- Hiroshi Kajino
- 2021
- ICML 2021
Conference paper
Publications
1650 results for Machine Learning
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
- Max Biggs
- Wei Sun
- et al.
- 2021
- ICML 2021
Conference paperInteger Programming for Causal Structure Learning in the Presence of Latent Variables
- Rui Chen
- Sanjeeb Dash
- et al.
- 2021
- ICML 2021
Conference paperSMG: A Shuffling Gradient-Based Method with Momentum
- Trang Tran
- Lam Nguyen
- et al.
- 2021
- ICML 2021
Conference paperFold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
- Yue Cao
- Payel Das
- et al.
- 2021
- ICML 2021
Conference paperDecision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
- 2021
- ICML 2021
Conference paperAGENT: A Benchmark for Core Psychological Reasoning
- Tianmin Shu
- Abhishek Bhandwaldar
- et al.
- 2021
- ICML 2021
Conference paperDifferentiable Sorting Networks for Scalable Sorting and Ranking Supervision
- Felix Petersen
- Christian Borgelt
- et al.
- 2021
- ICML 2021
PosterAuto-NBA: Efficient and Effective Search Over The Joint Space of Networks, Bitwidths, and Accelerators
- Yonggan Fu
- Yongan Zhang
- et al.
- 2021
- ICML 2021
PosterReinforcement Learning with Logical Action-Aware Features for Polymer Discovery
- Sarathkrishna Swaminathan
- Dmitry Zubarev
- et al.
- 2021
- ICML 2021
Workshop paper