Neuro-Symbolic Entropy Regularization
|
2023 |
Ahmed, Kareem |
Data Dependent Randomized Smoothing
|
2023 |
Alfarra, Motasem |
Asymmetric DQN for Partially Observable Reinforcement Learning
|
2023 |
Baisero, Andrea |
Byzantine-Tolerant Distributed Multiclass Sparse Linear Discriminant Analysis
|
2023 |
Bao, Yajie |
On the Inductive Bias of Neural Networks for Learning Read-Once DNFs
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2023 |
Bronstein, Ido |
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows
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2023 |
Cai, Difeng |
Active Approximately Metric-Fair Learning
|
2023 |
Cao, Yiting |
The Optimal Noise in Noise-Contrastive Learning is Not What You Think
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2023 |
Chehab, Omar |
Sublinear Time Algorithms for Greedy Selection in High Dimensions
|
2023 |
Chen, Qi |
Knowledge Representation Combining Quaternion Path Integration and Depth-Wise Atrous Circular Convolution
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2023 |
Chen, Xinyuan |
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
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2023 |
Chen, Mayee F. |
Greedy Equivalence Search in the Presence of Latent Confounders
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2023 |
Claassen, Tom |
Counterfactual Inference of Second Opinions
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2023 |
Benz, Nina L. Corvelo |
Variational- And Metric-based Deep Latent Space for Out-of-distribution Detection
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2023 |
Dinari, Or |
Self-Distribution Distillation: Efficient Uncertainty Estimation
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2023 |
Fathullah, Yassir |
Mitigating Statistical Bias Within Differentially Private Synthetic Data
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2023 |
Ghalebikesabi, Sahra |
Do Bayesian Variational Autoencoders Know What They Don’t Know?
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2023 |
Glazunov, Misha |
Non-Parametric Inference of Relational Dependence
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2023 |
Ahsan, Ragib |
GNN2GNN: Graph Neural Networks to Generate Neural Networks
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2023 |
Agiollo, Andrea |
NeuroBE: Escalating Neural Network Approximations of Bucket Elimination
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2023 |
Agarwal, Sakshi |