Andrew McCallum
13
Papers
391
Total Citations
Papers (13)
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
NeurIPS 2017arXiv
374
citations
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
NeurIPS 2025
14
citations
AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
NeurIPS 2025arXiv
3
citations
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
ICML 2024
0
citations
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching
ICML 2024
0
citations
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
NeurIPS 2022
0
citations
Structured Energy Network As a Loss
NeurIPS 2022
0
citations
Structured Prediction Energy Networks
ICML 2016
0
citations
End-to-End Learning for Structured Prediction Energy Networks
ICML 2017
0
citations
Compact Representation of Uncertainty in Clustering
NeurIPS 2018
0
citations
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
NeurIPS 2019
0
citations
Improving Local Identifiability in Probabilistic Box Embeddings
NeurIPS 2020
0
citations
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
NeurIPS 2021
0
citations