Feature Learning and Signal Propagation in Deep Neural Networks
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2023 |
Lou, Yizhang |
ModLaNets: Learning Generalisable Dynamics Via Modularity and Physical Inductive Bias
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2023 |
Lu, Yupu |
Model-Free Opponent Shaping
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2023 |
Lu, Christopher |
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
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2023 |
Lundstrom, Daniel D. |
Orchestra: Unsupervised Federated Learning Via Globally Consistent Clustering
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2023 |
Lubana, Ekdeep |
Disentangled Federated Learning for Tackling Attributes Skew Via Invariant Aggregation and Diversity Transferring
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2023 |
Luo, Zhengquan |
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
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2023 |
Luo, Zhao Tang |
Learning Dynamics and Generalization in Deep Reinforcement Learning
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2023 |
Lyle, Clare |
Quantification and Analysis of Layer-Wise and Pixel-Wise Information Discarding
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2023 |
Ma, Haotian |
Architecture Agnostic Federated Learning for Neural Networks
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2023 |
Makhija, Disha |
Nonparametric Involutive Markov Chain Monte Carlo
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2023 |
Mak, Carol |
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
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2023 |
Mao, Weichao |
Additive Gaussian Processes Revisited
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2023 |
Lu, Xiaoyu |
Pessimism Meets VCG: Learning Dynamic Mechanism Design Via Offline Reinforcement Learning
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2023 |
Lyu, Boxiang |
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
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2023 |
Macdonald, Jan |
Knowledge-Grounded Self-Rationalization Via Extractive and Natural Language Explanations
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2023 |
Majumder, Bodhisattwa Prasad |
Unaligned Supervision for Automatic Music Transcription in the Wild
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2023 |
Maman, Ben |
Refined Convergence Rates for Maximum Likelihood Estimation Under Finite Mixture Models
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2023 |
Manole, Tudor |
Personalized Federated Learning Through Local Memorization
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2023 |
Marfoq, Othmane |
Bayesian Model Selection, the Marginal Likelihood, and Generalization
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2023 |
Lotfi, Sanae |