| SpeqNets: Sparsity-Aware Permutation-Equivariant Graph Networks
|
2023 |
Morris, Christopher |
| DNNR: Differential Nearest Neighbors Regression
|
2023 |
Nader, Youssef |
| Improving Ensemble Distillation with Weight Averaging and Diversifying Perturbation
|
2023 |
Nam, Giung |
| Stable Conformal Prediction Sets
|
2023 |
Ndiaye, Eugene |
| Discovering Generalizable Spatial Goal Representations Via Graph-Based Active Reward Learning
|
2023 |
Netanyahu, Aviv |
| Improving Mini-Batch Optimal Transport Via Partial Transportation
|
2023 |
Nguyen, Khai |
| Improving Transformers with Probabilistic Attention Keys
|
2023 |
Nguyen, Tam Minh |
| Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
|
2023 |
Ni, Tianwei |
| Power-Law Escape Rate of SGD
|
2023 |
Mori, Takashi |
| Feature and Parameter Selection in Stochastic Linear Bandits
|
2023 |
Moradipari, Ahmadreza |
| CtrlFormer: Learning Transferable State Representation for Visual Control Via Transformer
|
2023 |
Mu, Yao Mark |
| Constants Matter: The Performance Gains of Active Learning
|
2023 |
Mussmann, Stephen O. |
| Bounding the Width of Neural Networks Via Coupled Initialization a Worst Case Analysis
|
2023 |
Munteanu, Alexander |
| The Importance of Non-Markovianity in Maximum State Entropy Exploration
|
2023 |
Mutti, Mirco |
| PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
|
2023 |
Myung, Sanghoon |
| Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
|
2023 |
Nava, Elvis |
| Tight and Robust Private Mean Estimation with Few Users
|
2023 |
Narayanan, Shyam |
| Sublinear-Time Clustering Oracle for Signed Graphs
|
2023 |
Neumann, Stefan |
| Improved Regret for Differentially Private Exploration in Linear MDP
|
2023 |
Ngo, Dung Daniel T. |
| Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
|
2023 |
Nguyen, Tung |
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