What You See is What You Get: Principled Deep Learning via Distributional Generalization
|
2023 |
Kulynych, Bogdan |
GAPX: Generalized Autoregressive Paraphrase-Identification X
|
2023 |
Zhou, Yifei |
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
|
2023 |
Wilcox, Albert |
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
|
2023 |
Wu, Tailin |
HumanLiker: A Human-like Object Detector to Model the Manual Labeling Process
|
2023 |
Wei, Haoran |
DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes
|
2023 |
Wei, Tianqi |
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
|
2023 |
Shi, Zhouxing |
Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization
|
2023 |
Zharmagambetov, Arman |
A Reduction to Binary Approach for Debiasing Multiclass Datasets
|
2023 |
Alabdulmohsin, Ibrahim M |
Few-Shot Audio-Visual Learning of Environment Acoustics
|
2023 |
Majumder, Sagnik |
The Phenomenon of Policy Churn
|
2023 |
Schaul, Tom |
Towards Safe Reinforcement Learning with a Safety Editor Policy
|
2023 |
Yu, Haonan |
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments
|
2023 |
Rengarajan, Desik |
Using Partial Monotonicity in Submodular Maximization
|
2023 |
Mualem, Loay |
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
|
2023 |
Jin, Ying |
Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers
|
2023 |
Park, Sejun |
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
|
2023 |
Badanidiyuru Varadaraja, Ashwinkumar |
Scalable Infomin Learning
|
2023 |
Chen, Yanzhi |
Not too little, not too much: a theoretical analysis of graph (over)smoothing
|
2023 |
Keriven, Nicolas |
Kernel similarity matching with Hebbian networks
|
2023 |
Luther, Kyle |