OmniPred: Language Models as Universal Regressors.
CoRR, 2024
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Noise-Reuse in Online Evolution Strategies.
CoRR, 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Label Leakage and Protection in Two-party Split Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods.
CoRR, 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Is Support Set Diversity Necessary for Meta-Learning?
CoRR, 2020
This Looks Like That: Deep Learning for Interpretable Image Recognition.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Interpretable Image Recognition with Hierarchical Prototypes.
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019
This looks like that: deep learning for interpretable image recognition.
CoRR, 2018
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
RAPTOR: Routing Attacks on Privacy in Tor.
Proceedings of the 24th USENIX Security Symposium, 2015
Anonymity on QuickSand: Using BGP to Compromise Tor.
Proceedings of the 13th ACM Workshop on Hot Topics in Networks, 2014