Luke Vilnis

36 papers A* 3A 1B 3Journal 18Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
CodeGemma: Open Code Models Based on Gemma.
CoRR
Heri Zhao, Jeffrey Hui, Joshua Howland, Nam Nguyen, Siqi Zuo, Andrea Hu, Christopher A. Choquette-Choo, Jingyue Shen, Joe Kelley, Kshitij Bansal, Luke Vilnis, Mateo Wirth, Paul Michel, Peter Choy, Pratik Joshi, Ravin Kumar, Sarmad Hashmi, Shubham Agrawal, Zhitao Gong, Jane Fine, Tris Warkentin, Ale Jakse Hartman, Bin Ni, Kathy Korevec, Kelly Schaefer, Scott Huffman
2024 — conf
MEMORY-VQ: Compression for Tractable Internet-Scale Memory.
NAACL (Short Papers)
Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie
2023 A* conf
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models.
ICML
Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Tachard Passos, Sumit Sanghai
2023 J jnl
MEMORY-VQ: Compression for Tractable Internet-Scale Memory.
CoRR
Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie
2022 J jnl
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models.
CoRR
Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Passos, Sumit Sanghai
2022 J jnl
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction.
CoRR
Luke Vilnis, Zachary Fisher, Bhargav Kanagal, Patrick Murray, Sumit Sanghai
2021 A* conf
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs.
NeurIPS
Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, Andrew McCallum
2020 A* conf
Improving Local Identifiability in Probabilistic Box Embeddings.
NeurIPS
Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum
2020 J jnl
Improving Local Identifiability in Probabilistic Box Embeddings.
CoRR
Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Lorraine Li, Andrew McCallum
2020 — conf
Representing Joint Hierarchies with Box Embeddings.
AKBC
Dhruvesh Patel, Shib Sankar Dasgupta, Michael Boratko, Xiang Li, Luke Vilnis, Andrew McCallum
2019 — conf
Smoothing the Geometry of Probabilistic Box Embeddings.
ICLR
Xiang Li, Luke Vilnis, Dongxu Zhang, Michael Boratko, Andrew McCallum
2018 — conf
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection.
NAACL-HLT
Haw-Shiuan Chang, Ziyun Wang, Luke Vilnis, Andrew McCallum
2018 B conf
Embedded-State Latent Conditional Random Fields for Sequence Labeling.
CoNLL
Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum
2018 J jnl
Embedded-State Latent Conditional Random Fields for Sequence Labeling.
CoRR
Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum
2018 — conf
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.
ICLR (Poster)
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2018 — conf
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking.
ACL (1)
Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum
2018 J jnl
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking.
CoRR
Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum
2018 — conf
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.
ACL (1)
Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum
2018 J jnl
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.
CoRR
Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum
2017 — conf
Finer Grained Entity Typing with TypeNet.
AKBC@NIPS
Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum
2017 J jnl
Finer Grained Entity Typing with TypeNet.
CoRR
Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum
2017 — conf
Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning.
AKBC@NIPS
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2017 J jnl
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.
CoRR
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alexander J. Smola, Andrew McCallum
2017 J jnl
Improved Representation Learning for Predicting Commonsense Ontologies.
CoRR
Xiang Li, Luke Vilnis, Andrew McCallum
2017 J jnl
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling.
CoRR
Dung Thai, Shikhar Murty, Trapit Bansal, Luke Vilnis, David Belanger, Andrew McCallum
2017 J jnl
Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding.
CoRR
Haw-Shiuan Chang, Ziyun Wang, Luke Vilnis, Andrew McCallum
2016 B conf
Generating Sentences from a Continuous Space.
CoNLL
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, Samy Bengio
2015 J jnl
Adding Gradient Noise Improves Learning for Very Deep Networks.
CoRR
Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens
2015 A conf
Bethe Projections for Non-Local Inference.
UAI
Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum
2015 J jnl
Bethe Projections for Non-Local Inference.
CoRR
Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum
2015 J jnl
Generating Sentences from a Continuous Space.
CoRR
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, Samy Bengio
2015 — conf
Learning Dynamic Feature Selection for Fast Sequential Prediction.
ACL (1)
Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum
2015 J jnl
Learning Dynamic Feature Selection for Fast Sequential Prediction.
CoRR
Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum
2015 — conf
Word Representations via Gaussian Embedding.
ICLR
Luke Vilnis, Andrew McCallum
2014 J jnl
Training for Fast Sequential Prediction Using Dynamic Feature Selection.
CoRR
Emma Strubell, Luke Vilnis, Andrew McCallum
2013 B conf
Dynamic Knowledge-Base Alignment for Coreference Resolution.
CoNLL
Jiaping Zheng, Luke Vilnis, Sameer Singh, Jinho D. Choi, Andrew McCallum