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)

SeeDRec: Sememe-based Diffusion for Sequential Recommendation IJCAI 2024 SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science EMNLP 2024 Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners CVPR 2024 Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? EMNLP 2024 Seer: Language Instructed Video Prediction with Latent Diffusion Models ICLR 2024 SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution CVPR 2024 Segmental and Suprasegmental Speech Foundation Models for Classifying Cognitive Risk Factors: Evaluating Out-of-the-Box Performance Interspeech 2024 Segment and Caption Anything CVPR 2024 Segment Any Change NeurIPS 2024 Segment Anything, From Space? WACV 2024 SegVol: Universal and Interactive Volumetric Medical Image Segmentation NeurIPS 2024 SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction ICLR 2024 Selective Generation for Controllable Language Models NeurIPS 2024 Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model CVPR 2024 Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization CVPR 2024 SelfCodeAlign: Self-Alignment for Code Generation NeurIPS 2024 Self-Consuming Generative Models Go MAD ICLR 2024 Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences NeurIPS 2024 Self-correcting LLM-controlled Diffusion Models CVPR 2024 Self-Correcting Self-Consuming Loops for Generative Model Training ICML 2024 Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation CVPR 2024 Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation NeurIPS 2024 Self-Powered LLM Modality Expansion for Large Speech-Text Models EMNLP 2024 Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations NeurIPS 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model NeurIPS 2024