Improving Compositional Generalization with Latent Structure and Data Augmentation | 0 | 0.34 | 2022 |
Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing. | 0 | 0.34 | 2022 |
Possibility Before Utility: Learning And Using Hierarchical Affordances | 0 | 0.34 | 2022 |
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo | 0 | 0.34 | 2022 |
Systematic Generalization on gSCAN - What is Nearly Solved and What is Next? | 0 | 0.34 | 2021 |
When Maml Can Adapt Fast And How To Assist When It Cannot | 0 | 0.34 | 2021 |
ReadTwice: Reading Very Large Documents with Memories | 0 | 0.34 | 2021 |
Visually Grounded Concept Composition. | 0 | 0.34 | 2021 |
Randomized Entity-Wise Factorization For Multi-Agent Reinforcement Learning | 0 | 0.34 | 2021 |
Classifier and Exemplar Synthesis for Zero-Shot Learning | 3 | 0.42 | 2020 |
Learning to Represent Image and Text with Denotation Graph. | 0 | 0.34 | 2020 |
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions | 9 | 0.46 | 2020 |
A Bayesian Theory of Mind Approach to Nonverbal Communication | 2 | 0.42 | 2019 |
Synthesize Policies for Transfer and Adaptation across Tasks and Environments. | 1 | 0.35 | 2019 |
Hyper-parameter Tuning under a Budget Constraint. | 0 | 0.34 | 2019 |
Learning Classifier Synthesis for Generalized Few-Shot Learning. | 0 | 0.34 | 2019 |
Neural Theorem Provers Do Not Learn Rules Without Exploration. | 0 | 0.34 | 2019 |
Hyper-parameter Tuning under a Budget Constraint. | 0 | 0.34 | 2019 |
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. | 0 | 0.34 | 2019 |
Toward an Internet of Battlefield Things: A Resilience Perspective. | 4 | 0.44 | 2018 |
Multi-Task Learning for Sequence Tagging: An Empirical Study. | 2 | 0.36 | 2018 |
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images. | 0 | 0.34 | 2018 |
Will Distributed Computing Revolutionize Peace? The Emergence Of Battlefield Iot | 0 | 0.34 | 2018 |
Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner. | 1 | 0.35 | 2018 |
Actor-Attention-Critic for Multi-Agent Reinforcement Learning. | 4 | 0.38 | 2018 |
An Empirical Study on The Properties of Random Bases for Kernel Methods | 0 | 0.34 | 2017 |
Kernel Approximation Methods for Speech Recognition. | 5 | 0.47 | 2017 |
Attention Correctness in Neural Image Captioning. | 15 | 0.58 | 2017 |
Synthesized Classifiers For Zero-Shot Learning | 89 | 1.62 | 2016 |
An Empirical Study And Analysis Of Generalized Zero-Shot Learning For Object Recognition In The Wild | 63 | 1.65 | 2016 |
Supervised Word Mover's Distance. | 0 | 0.34 | 2016 |
FastMask: Segment Object Multi-scale Candidates in One Shot. | 0 | 0.34 | 2016 |
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task. | 0 | 0.34 | 2016 |
Recalling Holistic Information for Semantic Segmentation. | 0 | 0.34 | 2016 |
Active Multi-View Object Recognition: A Unifying View on Online Feature Selection and View Planning | 4 | 0.46 | 2016 |
Aligning where to see and what to tell: image caption with region-based attention and scene factorization | 13 | 0.65 | 2015 |
Active Multi-view Object Recognition and Online Feature Selection | 2 | 0.37 | 2015 |
Exponential Integration for Hamiltonian Monte Carlo | 5 | 0.46 | 2015 |
Large-Margin Determinantal Point Processes. | 2 | 0.36 | 2015 |
Designing a socially assistive robot for personalized number concepts learning in preschool children | 0 | 0.34 | 2015 |
Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning. | 3 | 0.41 | 2014 |
Discriminative non-negative matrix factorization for single-channel speech separation | 11 | 0.61 | 2014 |
Marginalized Denoising Auto-encoders for Nonlinear Representations. | 42 | 2.20 | 2014 |
Similarity Learning for High-Dimensional Sparse Data. | 8 | 0.45 | 2014 |
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share | 58 | 1.31 | 2014 |
Diverse Sequential Subset Selection for Supervised Video Summarization. | 71 | 1.55 | 2014 |
Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition | 37 | 1.31 | 2014 |
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. | 21 | 1.09 | 2014 |
Demystifying Information-Theoretic Clustering. | 0 | 0.34 | 2014 |
Reshaping Visual Datasets for Domain Adaptation. | 11 | 0.53 | 2013 |