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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1,088

1,362

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Papers (including subtopics)

ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images ICCV 2023 Executing Your Commands via Motion Diffusion in Latent Space CVPR 2023 Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule ICML 2023 Expanding Small-Scale Datasets with Guided Imagination NeurIPS 2023 Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models EMNLP 2023 Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023 Explicitly Minimizing the Blur Error of Variational Autoencoders ICLR 2023 Exploring Chemical Space with Score-based Out-of-distribution Generation ICML 2023 Exploring CLIP for Assessing the Look and Feel of Images AAAI 2023 Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods ACL 2023 Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition Interspeech 2023 Exploring How Generative Adversarial Networks Learn Phonological Representations ACL 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation CVPR 2023 Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis CVPR 2023 Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023 Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images (Student Abstract) AAAI 2023 Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations NeurIPS 2023 Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders ICLR 2023 Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models NeurIPS 2023 ExposureDiffusion: Learning to Expose for Low-light Image Enhancement ICCV 2023 Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation CVPR 2023 Extracting Reward Functions from Diffusion Models NeurIPS 2023 Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models NeurIPS 2023 FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models NeurIPS 2023 FaceLit: Neural 3D Relightable Faces CVPR 2023