conftrace_

probability distribution

265 papers

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Co-occurring keywords

optimal transport (948) generative model (2892) neural network (6616) probabilistic modeling (852) language model (4599) normalizing flow (354) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) large language model (13587)

Papers

Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020
Just Add Functions: A Neural-Symbolic Language Model AAAI 2020
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation AAAI 2020
Stolen Probability: A Structural Weakness of Neural Language Models ACL 2020
Fˆ2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax EMNLP 2020
Generating and Exploiting Probabilistic Monocular Depth Estimates CVPR 2020
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation CVPR 2020
Riemannian Continuous Normalizing Flows NIPS 2020
Compositional Visual Generation with Energy Based Models NIPS 2020
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs NIPS 2020
The Wasserstein Proximal Gradient Algorithm NIPS 2020
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NIPS 2020
Continuous Regularized Wasserstein Barycenters NIPS 2020
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions NIPS 2020
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition AAAI 2020
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ACL 2020
How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead ACL 2020
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization ACL 2020
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods ACL 2020
Stochastic Normalizing Flows NIPS 2020
Adaptive Sampling for Estimating Probability Distributions ICML 2020
Optimal Transport for Multi-source Domain Adaptation under Target Shift AISTATS 2019
Quantifying Similarity between Relations with Fact Distribution ACL 2019
Toward a Characterization of Loss Functions for Distribution Learning NIPS 2019
Capacity Bounded Differential Privacy NIPS 2019