conftrace_

Models

20,488 papers (23 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Generative Models (8,597) Diffusion Models (6,478) Large Language Models (2,815) Variational Inference (2,186) Vision-Language Models (839) Language Models (763) Foundation Models (330) Language Modeling (92) Variational Autoencoders (67) Neural Radiance Fields (46) Sequence-to-Sequence (42) Variational Autoencoder (24)

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Papers (including subtopics)

Improving Attributed Text Generation of Large Language Models via Preference Learning ACL 2024 Improving Copy-oriented Text Generation via EDU Copy Mechanism COLING 2024 Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction AAAI 2024 Improving Diffusion Models for Authentic Virtual Try-on in the Wild ECCV 2024 Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance ICML 2024 Improving Event Definition Following For Zero-Shot Event Detection ACL 2024 Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024 Improving Fairness in Deepfake Detection WACV 2024 Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance ECCV 2024 Improving Gradient-Guided Nested Sampling for Posterior Inference ICML 2024 Improving Non-Transferable Representation Learning by Harnessing Content and Style ICLR 2024 Improving Referring Ability for Biomedical Language Models EMNLP 2024 Improving Role-Oriented Dialogue Summarization with Interaction-Aware Contrastive Learning COLING 2024 Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders EACL 2024 Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance CVPR 2024 Improving the Convergence of Dynamic NeRFs via Optimal Transport ICLR 2024 Improving the Effectiveness of Deep Generative Data WACV 2024 Improving the Fairness of the Min-Max Game in GANs Training WACV 2024 Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation CVPR 2024 Improving the Training of Rectified Flows NeurIPS 2024 Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models ICLR 2024 Incentivizing Quality Text Generation via Statistical Contracts NeurIPS 2024 INCODE: Implicit Neural Conditioning With Prior Knowledge Embeddings WACV 2024