Object-Region Video Transformers | 0 | 0.34 | 2022 |
DETReg: Unsupervised Pretraining with Region Priors for Object Detection | 0 | 0.34 | 2022 |
On the inductive bias of neural networks for learning read-once DNFs. | 0 | 0.34 | 2022 |
Learning to Retrieve Passages without Supervision | 0 | 0.34 | 2022 |
Efficient Learning of CNNs using Patch Based Features. | 0 | 0.34 | 2022 |
Active learning with label comparisons. | 0 | 0.34 | 2022 |
On the Implicit Bias of Gradient Descent for Temporal Extrapolation | 0 | 0.34 | 2022 |
Compositional Video Synthesis With Action Graphs | 0 | 0.34 | 2021 |
Explaining in Style: Training a GAN to explain a classifier in StyleSpace | 0 | 0.34 | 2021 |
On The Implicit Bias Of Initialization Shape: Beyond Infinitesimal Mirror Descent | 0 | 0.34 | 2021 |
An optimization and generalization analysis for max-pooling networks. | 0 | 0.34 | 2021 |
Towards Understanding Learning in Neural Networks with Linear Teachers | 0 | 0.34 | 2021 |
Optimal Strategies Against Generative Attacks | 0 | 0.34 | 2020 |
A Simple and Effective Model for Answering Multi-span Questions. | 0 | 0.34 | 2020 |
Regularizing Towards Permutation Invariance In Recurrent Models | 0 | 0.34 | 2020 |
Pre-training Mention Representations in Coreference Models. | 0 | 0.34 | 2020 |
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing. | 1 | 0.35 | 2019 |
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem | 1 | 0.34 | 2019 |
Learning Latent Scene-Graph Representations for Referring Relationships. | 0 | 0.34 | 2019 |
Classifying Collisions with Spatio-Temporal Action Graph Networks. | 2 | 0.38 | 2018 |
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. | 1 | 0.35 | 2018 |
Learning to Optimize Combinatorial Functions. | 1 | 0.36 | 2018 |
Over-parameterization Improves Generalization in the XOR Detection Problem. | 0 | 0.34 | 2018 |
Explaining Queries over Web Tables to Non-Experts. | 0 | 0.34 | 2018 |
Learning with Rules. | 0 | 0.34 | 2018 |
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. | 10 | 0.50 | 2018 |
Weakly Supervised Semantic Parsing with Abstract Examples. | 5 | 0.42 | 2018 |
Learning Infinite Layer Networks Without the Kernel Trick. | 0 | 0.34 | 2017 |
Robust Conditional Probabilities. | 0 | 0.34 | 2017 |
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data. | 31 | 0.86 | 2017 |
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs. | 54 | 1.71 | 2017 |
Effective Semisupervised Learning on Manifolds. | 0 | 0.34 | 2017 |
Learning and Inference with Expectations. | 0 | 0.34 | 2017 |
Discriminative Learning of Infection Models. | 1 | 0.35 | 2016 |
Improper Deep Kernels. | 3 | 0.39 | 2016 |
Optimal Tagging with Markov Chain Optimization. | 3 | 0.38 | 2016 |
Learning to generalize to new compositions in image understanding. | 6 | 0.45 | 2016 |
Learning Infinite-Layer Networks: Beyond the Kernel Trick. | 0 | 0.34 | 2016 |
Collective Entity Resolution With Multi-Focal Attention | 14 | 0.56 | 2016 |
Template Kernels for Dependency Parsing. | 3 | 0.42 | 2015 |
How Hard is Inference for Structured Prediction? | 5 | 0.40 | 2015 |
Efficient Lifting of MAP LP Relaxations Using k-Locality. | 9 | 0.51 | 2014 |
Lifted Message Passing As Reparametrization Of Graphical Models | 6 | 0.44 | 2014 |
Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment. | 8 | 0.47 | 2014 |
Discrete Chebyshev Classifiers. | 5 | 0.51 | 2014 |
Inferning with High Girth Graphical Models. | 3 | 0.47 | 2014 |
Tightness Results For Local Consistency Relaxations In Continuous Mrfs | 2 | 0.37 | 2014 |
Spectral Regularization for Max-Margin Sequence Tagging. | 6 | 0.44 | 2014 |
Steps To Excellence: Simple Inference With Refined Scoring Of Dependency Trees | 0 | 0.34 | 2014 |
Learning Structured Models with the AUC Loss and Its Generalizations. | 11 | 0.53 | 2014 |