infonce
Contrastive Sampling Chains in Diffusion Models
The code is available at Contrastive-Sampling .
Country:
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Israel (0.04)
- Asia > China > Zhejiang Province > Hangzhou (0.04)
Technology:
Provable Training for Graph Contrastive Learning Yue Y u
Considering the complex graph structure, are some nodes consistently well-trained and following this principle even with different graph augmentations?
Technology:
Ignorance is Bliss: Robust Control via Information Gating Manan Tomar
We propose information gating as a way to learn parsimonious representations that identify the minimal information required for a task.
Country:
- North America > Canada > Alberta (0.14)
- North America > Canada > Quebec > Montreal (0.14)
- North America > United States > Virginia (0.04)
- (5 more...)
Technology:
- Information Technology > Artificial Intelligence > Robots (0.93)
- Information Technology > Artificial Intelligence > Vision (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.49)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.46)
Country:
- South America > Paraguay > Asunción > Asunción (0.04)
- North America > United States > Virginia (0.04)
Technology:
Country:
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
Country:
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
- Asia > China > Shanghai > Shanghai (0.04)
- Asia > China > Anhui Province > Hefei (0.04)
Technology:
Country:
- Europe > Switzerland > Zürich > Zürich (0.14)
- Europe > Austria > Vienna (0.14)
- North America > United States > Louisiana > Orleans Parish > New Orleans (0.04)
- (10 more...)
Genre:
- Research Report > Experimental Study (0.93)
- Overview (0.92)
Industry:
- Health & Medicine (0.92)
- Media (0.67)
- Information Technology > Security & Privacy (0.67)
Technology:
- Information Technology > Data Science (1.00)
- Information Technology > Communications (1.00)
- Information Technology > Artificial Intelligence > Vision (1.00)
- (3 more...)
d6428eecbe0f7dff83fc607c5044b2b9-Paper.pdf
We propose contrastive coding to learn shared, dense image representations, referredtoasCoMIRs (ContrastiveMultimodal ImageRepresentations).
Country:
- Europe > Switzerland > Zürich > Zürich (0.05)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
- Europe > Sweden (0.04)
Technology:
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet Tran, Fei Tang, Hubert Ramsauer, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Country:
Industry:
- Transportation > Passenger (0.67)
- Transportation > Ground > Road (0.67)
- Automobiles & Trucks > Manufacturer (0.67)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
Country:
- North America > United States > Illinois > Cook County > Chicago (0.04)
- North America > Canada > Ontario > Toronto (0.04)
Technology: