Danica J. Sutherland
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
9
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Uncertainty Herding: One Active Learning Method for All Label Budgets. | Wonho Bae, Danica J. Sutherland, Gabriel L. Oliveira |
| 2025 | ICLR | Learning Dynamics of LLM Finetuning. | Yi Ren, Danica J. Sutherland |
| 2024 | ECCV | Generalized Coverage for More Robust Low-Budget Active Learning. | Wonho Bae, Junhyug Noh, Danica J. Sutherland |
| 2024 | ECCV | Exploring Active Learning in Meta-learning: Enhancing Context Set Labeling. | Wonho Bae, Jing Wang, Danica J. Sutherland |
| 2024 | ICML | Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition. | Mohamad Amin Mohamadi, Zhiyuan Li, Lei Wu, Danica J. Sutherland |
| 2023 | AISTATS | MMD-B-Fair: Learning Fair Representations with Statistical Testing. | Namrata Deka, Danica J. Sutherland |
| 2023 | ICLR | Efficient Conditionally Invariant Representation Learning. | Roman Pogodin, Namrata Deka, Yazhe Li, Danica J. Sutherland, Victor Veitch, Arthur Gretton |
| 2023 | ICLR | How to prepare your task head for finetuning. | Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland |
| 2023 | ICML | A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel. | Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland |
| 2023 | ICML | Exphormer: Sparse Transformers for Graphs. | Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Ali Kemal Sinop |
| 2022 | ECCV | Object Discovery via Contrastive Learning for Weakly Supervised Object Detection. | Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim |
| 2022 | ICLR | Better Supervisory Signals by Observing Learning Paths. | Yi Ren, Shangmin Guo, Danica J. Sutherland |
| 2022 | IJCAI | One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model. | Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland |
| 2021 | AISTATS | Does Invariant Risk Minimization Capture Invariance? | Pritish Kamath, Akilesh Tangella, Danica J. Sutherland, Nathan Srebro |
| 2020 | ICML | Learning Deep Kernels for Non-Parametric Two-Sample Tests. | Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland |
| 2019 | ICML | Learning deep kernels for exponential family densities. | Wenliang Li, Danica J. Sutherland, Heiko Strathmann, Arthur Gretton |
| 2018 | AISTATS | Bayesian Approaches to Distribution Regression. | Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic, Seth R. Flaxman |
| 2018 | AISTATS | Efficient and principled score estimation with Nystrm kernel exponential families. | Danica J. Sutherland, Heiko Strathmann, Michael Arbel, Arthur Gretton |
| 2018 | ICLR | Demystifying MMD GANs. | Mikolaj Binkowski, Danica J. Sutherland, Michael Arbel, Arthur Gretton |
| 2017 | ICLR | Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. | Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton |
| 2016 | AAAI | Linear-Time Learning on Distributions with Approximate Kernel Embeddings. | Danica J. Sutherland, Junier B. Oliva, Barnabs Pczos, Jeff G. Schneider |
| 2015 | AISTATS | Active Pointillistic Pattern Search. | Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff G. Schneider |
| 2015 | UAI | On the Error of Random Fourier Features. | Danica J. Sutherland, Jeff G. Schneider |
| 2013 | KDD | Active learning and search on low-rank matrices. | Danica J. Sutherland, Barnabs Pczos, Jeff G. Schneider |
| 2012 | CVPR | Nonparametric kernel estimators for image classification. | Barnabs Pczos, Liang Xiong, Danica J. Sutherland, Jeff G. Schneider |