Learning the Geometry of Wave-Based Imaging
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2021 |
Kothari, Konik |
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
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2021 |
Kwon, Woosuk |
Finding the Homology of Decision Boundaries with Active Learning
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2021 |
Li, Weizhi |
Certified Defense to Image Transformations via Randomized Smoothing
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2021 |
Fischer, Marc |
Reparameterizing Mirror Descent as Gradient Descent
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2021 |
Amid, Ehsan |
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe
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2021 |
Lee, Sanghack |
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
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2021 |
Bieber, David |
Characterizing emergent representations in a space of candidate learning rules for deep networks
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2021 |
Cao, Yinan |
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
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2021 |
Narasimhan, Harikrishna |
Approximate Cross-Validation for Structured Models
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2021 |
Ghosh, Soumya |
Generalized Boosting
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2021 |
Suggala, Arun |
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
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2021 |
Norouzi, Sajad |
Large-Scale Methods for Distributionally Robust Optimization
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2021 |
Levy, Daniel |
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring
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2021 |
Tsuchiya, Taira |
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
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2021 |
Mu, Tongzhou |
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
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2021 |
Thrampoulidis, Christos |
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
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2021 |
Li, Guilin |
On Regret with Multiple Best Arms
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2021 |
Zhu, Yinglun |
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games
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2021 |
Cheung, Yun Kuen |
Learning to Learn Variational Semantic Memory
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2021 |
Zhen, Xiantong |