| 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 |
| Rethinking Fano’s Inequality in Ensemble Learning
|
2023 |
Morishita, Terufumi |
| Generalized Beliefs for Cooperative AI
|
2023 |
Muglich, Darius |
| Overcoming Oscillations in Quantization-Aware Training
|
2023 |
Nagel, Markus |
| Strategic Representation
|
2023 |
Nair, Vineet |
| Variational Inference for Infinitely Deep Neural Networks
|
2023 |
Nazaret, Achille |
| On Transportation of Mini-Batches: A Hierarchical Approach
|
2023 |
Nguyen, Khai |
| Universal and Data-Adaptive Algorithms for Model Selection in Linear Contextual Bandits
|
2023 |
Muthukumar, Vidya K. |
| On the Generalization Analysis of Adversarial Learning
|
2023 |
Mustafa, Waleed |
| AutoSNN: Towards Energy-Efficient Spiking Neural Networks
|
2023 |
Na, Byunggook |
| Implicit Bias of the Step Size in Linear Diagonal Neural Networks
|
2023 |
Nacson, Mor Shpigel |
| Measuring Representational Robustness of Neural Networks Through Shared Invariances
|
2023 |
Nanda, Vedant |
| Multi-Task Learning as a Bargaining Game
|
2023 |
Navon, Aviv |
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