generative model

Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness EMNLP 2023 Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification ACL 2023 Test-time Adaptation with Slot-Centric Models ICML 2023 Text and Image Guided 3D Avatar Generation and Manipulation WACV 2023 Text Augmentation Using Dataset Reconstruction for Low-Resource Classification ACL 2023 Text-Driven Generative Domain Adaptation with Spectral Consistency Regularization ICCV 2023 Text Generation Model Enhanced with Semantic Information in Aspect Category Sentiment Analysis ACL 2023 Text-guided 3D Human Generation from 2D Collections EMNLP 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NeurIPS 2023 The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation ICCV 2023 The Making and Breaking of Camouflage ICCV 2023 The Stable Signature: Rooting Watermarks in Latent Diffusion Models ICCV 2023 The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection ICLR 2023 Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks EMNLP 2023 Topology-Guided Multi-Class Cell Context Generation for Digital Pathology CVPR 2023 TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models NeurIPS 2023 Towards General Low-Light Raw Noise Synthesis and Modeling ICCV 2023 Towards Generative Event Factuality Prediction ACL 2023 Towards Open Environment Intent Prediction ACL 2023 Towards Understanding Omission in Dialogue Summarization ACL 2023 Towards Universal Fake Image Detectors That Generalize Across Generative Models CVPR 2023 Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation CVPR 2023 TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation ICML 2023 Training Energy-Based Normalizing Flow with Score-Matching Objectives NeurIPS 2023 Training Normalizing Flows from Dependent Data ICML 2023