Jeffrey Bilmes
7 papers · 2004–2020 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (16) π Renaissance Researcher (6) π Interdisciplinary Bridge π Cross-Pollinator (15)
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Trend Setter
Conferences
AISTATS (4)
JMLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
submodular optimization
(5)
representation learning
(1)
image segmentation
(1)
neural network training
(1)
probabilistic inference
(1)
curriculum learning
(1)
data subset selection
(1)
neural network optimization
(1)
loss landscape
(1)
partition function
(1)
image matching
(1)
sensor placement
(1)
greedy selection
(1)
data summarization
(1)
determinantal point process
(1)
deep neural network
(1)
facility location
(1)
combinatorial constraint
(1)
representative subset
(1)
exponential moving average
(1)
Papers
Curriculum Learning by Dynamic Instance Hardness
NIPS 2020
apricot: Submodular selection for data summarization in Python
JMLR 2020
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
AISTATS 2019
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems
AISTATS 2019
Submodular Point Processes with Applications to Machine learning
AISTATS 2015
On Approximate Non-submodular Minimization via Tree-Structured Supermodularity
AISTATS 2015
Multi-Speaker Language Modeling
NAACL 2004