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Jeff A. Bilmes

23 papers · 2003–2022 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (17) πŸƒ Academic Marathon (19) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🌟 Keyword Trendsetter Combo (3) 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ’Ž Century Club (23) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (59)

Conferences

NIPS (19) EMNLP (2) JMLR (1) NAACL (1)

Top co-authors

Rishabh K Iyer (5) Tianyi Zhou (4) Shengjie Wang (4) Katrin Kirchhoff (2) Stefanie Jegelka (2) Jeff A Bilmes (2) Wenruo Bai (2) Andrew Guillory (2) Sarah Michalak (1) Chandrashekhar Lavania (1)

Keywords

submodular optimization (7) submodular function (7) combinatorial optimization (5) submodular minimization (2) sensor placement (2) semi-supervised classification (2) label propagation (2) approximation algorithm (2) semi-supervised learning (2) active learning (2) image segmentation (1) ensemble learning (1) convex optimization (1) bayesian inference (1) probabilistic modeling (1) catastrophic forgetting (1) k-means clustering (1) online learning (1) latent dirichlet allocation (1) manifold regularization (1)

Papers

Retrospective Adversarial Replay for Continual Learning NIPS 2022
Constrained Robust Submodular Partitioning NIPS 2021
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NIPS 2019
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions NIPS 2018
Diverse Ensemble Evolution: Curriculum Data-Model Marriage NIPS 2018
Deep Submodular Functions: Definitions and Learning NIPS 2016
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications NIPS 2015
Submodular Hamming Metrics NIPS 2015
Learning Mixtures of Submodular Functions for Image Collection Summarization NIPS 2014
Divide-and-Conquer Learning by Anchoring a Conical Hull NIPS 2014
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NIPS 2013
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints NIPS 2013
Submodular-Bregman and the LovΓ‘sz-Bregman Divergences with Applications NIPS 2012
Online Submodular Set Cover, Ranking, and Repeated Active Learning NIPS 2011
On fast approximate submodular minimization NIPS 2011
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010
Submodularity Cuts and Applications NIPS 2009
Label Selection on Graphs NIPS 2009
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NIPS 2009
Multi-dynamic Bayesian Networks NIPS 2006
The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments EMNLP 2005
Part-of-Speech Tagging using Virtual Evidence and Negative Training EMNLP 2005
Factored Language Models and Generalized Parallel Backoff NAACL 2003