EfficientLearningofDiscrete-Continuous ComputationGraphs
–Neural Information Processing Systems
End-to-end learnable discrete-continuous models are compositional, tend togeneralize better,and are more interpretable.
Neural Information Processing Systems
Feb-8-2026, 05:14:02 GMT
- Country:
- Africa > Ethiopia (0.04)
- Asia
- China > Beijing
- Beijing (0.04)
- Middle East > Jordan (0.04)
- China > Beijing
- Europe
- France (0.04)
- Germany > Baden-Württemberg
- Karlsruhe Region > Heidelberg (0.04)
- Spain > Valencian Community
- Valencia Province > Valencia (0.04)
- North America
- Canada
- Alberta > Census Division No. 15
- Improvement District No. 9 > Banff (0.04)
- British Columbia > Metro Vancouver Regional District
- Vancouver (0.04)
- Quebec > Montreal (0.04)
- Alberta > Census Division No. 15
- United States > Nevada (0.04)
- Canada
- Technology: