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Generative Models

6,381 papers

Papers per year

Papers

Learning and Generalization in Overparameterized Normalizing Flows AISTATS 2022
An Unsupervised Hunt for Gravitational Lenses AISTATS 2022
Increasing the accuracy and resolution of precipitation forecasts using deep generative models AISTATS 2022
Hypergraph Simultaneous Generators AISTATS 2022
Can we Generalize and Distribute Private Representation Learning? AISTATS 2022
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems ALT 2022
Diffusion Causal Models for Counterfactual Estimation CLEAR 2022
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning COLING 2022
Incorporating Causal Analysis into Diversified and Logical Response Generation COLING 2022
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification COLING 2022
Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference COLING 2022
Generating Temporally-ordered Event Sequences via Event Optimal Transport COLING 2022
Nonparametric Forest-Structured Neural Topic Modeling COLING 2022
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings COLING 2022
Dynamic Nonlinear Mixup with Distance-based Sample Selection COLING 2022
Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion COLING 2022
Multilingual and Multimodal Topic Modelling with Pretrained Embeddings COLING 2022
A Survey of Automatic Text Summarization Using Graph Neural Networks COLING 2022
CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions COLING 2022
On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART COLING 2022
TEAM UFAL @ CreativeSumm 2022: BART and SamSum based few-shot approach for creative Summarization COLING 2022
Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models COLING 2022
Wasserstein GANs with Gradient Penalty Compute Congested Transport COLT 2022
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators COLT 2022
CAPRI-Net: Learning Compact CAD Shapes With Adaptive Primitive Assembly CVPR 2022