Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory

Aug-19-2025, 01:57:26 GMT–Neural Information Processing Systems

Hypothesis (L TH): a randomly-initialized dense neural network contains an extremely sparse subnet-work (i.e., a winning lottery ticket) such that, when trained from scratch with weights being reset to its initialization, can achieve similar performance to the original dense network within similar

artificial intelligence, machine learning, natural language, (19 more...)

Neural Information Processing Systems

Aug-19-2025, 01:57:26 GMT

Conferences PDF

Add feedback

Country:
- South America > Chile
  - Santiago Metropolitan Region > Santiago Province > Santiago (0.04)
- North America
  - United States
    - Oregon (0.04)
    - Utah > Salt Lake County
      - Salt Lake City (0.04)
    - Louisiana > Orleans Parish
      - New Orleans (0.04)
    - Georgia > Fulton County
      - Atlanta (0.04)
    - Florida > Miami-Dade County
      - Miami (0.04)
    - California > Los Angeles County
      - Long Beach (0.04)
  - Canada
    - British Columbia > Vancouver (0.04)
    - Quebec > Montreal (0.04)
- Europe
  - Italy > Sardinia (0.04)
  - France (0.04)
  - Sweden > Stockholm
    - Stockholm (0.04)
  - Spain > Catalonia
    - Barcelona Province > Barcelona (0.04)
  - Latvia > Lubāna Municipality
    - Lubāna (0.04)
- Africa > Ethiopia
  - Addis Ababa > Addis Ababa (0.05)

Genre:
- Contests & Prizes (0.87)

Industry:
- Leisure & Entertainment > Gambling (0.72)

Technology:
- Information Technology > Artificial Intelligence
  - Natural Language (1.00)
  - Machine Learning > Neural Networks
    - Deep Learning (1.00)

Duplicate Docs Excel Report

Title
fdc42b6b0ee16a2f866281508ef56730-Paper.pdf

Similar Docs Excel Report more

Title	Similarity	Source
None found