PRIME MEMBER EXCLUSIVE | 3 Months Free Trial
Auto-renews at INR 199/mo after 3 months. Cancel anytime. Offer ends 15 July, 2026.
EP07 - Efficient Neural Search: Rethinking Inverted Indexes for Learned Sparse Representations. With Dr. Franco Maria Nardini
Failed to add items
Sorry, we are unable to add the item because your shopping basket is already at capacity.
Add to cart failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
EP07 - Efficient Neural Search: Rethinking Inverted Indexes for Learned Sparse Representations. With Dr. Franco Maria Nardini
-
Narrated by:
-
Written by:
In this episode of targz, Franco Maria Nardini, Research Director at ISTI-CNR, explains Seismic, a two-level inverted index for fast retrieval over learned sparse representations. It beats graph-based state-of-the-art methods by up to 3.5x in speed with comparable memory, and opens new directions in inference-free and edge retrieval.
Want to know more? checkout the paper: Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations
adbl_web_anon_alc_button_suppression_t1
No reviews yet