BREAKING
ICML 2026 Pivots to Efficiency
Optimizing Models That Exist
0
x
avg inference speedup
0
place of 40 teams
0
accepted papers
0
spotlights
Where the Gains Come From
1
Quantization
↓
2
KV-cache pruning
↓
3
Fewer sampling steps
↓
4
Machine unlearning
Efficiency Over Novelty
AI NEWS BLITZ
At ICML 2026 in Seoul, AI research shifts from new architectures to making big models cheaper and faster.