YamAdam, an adaptive optimizer for mini-batch training, reaches predefined targets rapidly across six heterogeneous workloads without any user-specified optimizer hyperparameters, matching 2,634/2,700 targets.
- Open access
- 4 cites
Stochastic Gradient Optimization Techniques
Moving in bioRxiv.
- Moved, week to 28 Oct 2026
- 0
- Papers in 60 days
- 1
Add Stochastic Gradient Optimization Techniques as an interest in JClubFree on iPhone and Android · interests shape Home, Discover and your digest
Rebuilt
Moved this week
Nothing in this topic has moved yet this week.
Latest in Stochastic Gradient Optimization Techniques
Newest first · last 60 days
Add Stochastic Gradient Optimization Techniques as an interest in JClub
Browse JClub
Journals this month
- bioRxiv6608
- medRxiv1813
- PNAS564
- Sci Adv348
- JAMA318
- BMJ211
- Environ Res195
- Nat Commun169
- Environ Pollution165
- Nature165
- NEJM141
- Cell Rep135
- Science135
- Lancet132
- Curr Biol123
- J Exp Bot118
- Circulation115
- mBio115
Topics moving, week to 28 Oct 2026
- Inflammatory Bowel Disease7
- Single-cell and spatial transcriptomics5
- Gut microbiota and health5
- Pancreatic and Hepatic Oncology Research4
- Cancer Immunotherapy and Biomarkers4
- Prostate Cancer Treatment and Research3
- Alzheimer's disease research and treatments3
- Antibiotic Resistance in Bacteria3
- Cancer Genomics and Diagnostics3
- Ferroptosis and cancer prognosis3