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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32

42

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1,088

1,362

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Papers (including subtopics)

Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract) AAAI 2024 Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution NeurIPS 2024 Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset AAAI 2024 Towards Better Vision-Inspired Vision-Language Models CVPR 2024 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models ICLR 2024 Towards Classifying Mother Tongue from Infant Cries - Findings Substantiating Prenatal Learning Theory Interspeech 2024 Towards Context-aware Normalization of Variant Characters in Classical Chinese Using Parallel Editions and BERT ACL 2024 Towards Croppable Implicit Neural Representations NeurIPS 2024 Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model AAAI 2024 Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models EMNLP 2024 Towards Diverse and Consistent Typography Generation WACV 2024 Towards Editing Time Series NeurIPS 2024 Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation CVPR 2024 Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks AAAI 2024 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing NeurIPS 2024 Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs EMNLP 2024 Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024 Towards Generalizable Tumor Synthesis CVPR 2024 Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection ICLR 2024 Towards Global Optimal Visual In-Context Learning Prompt Selection NeurIPS 2024 Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt IJCAI 2024 Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach ICLR 2024 Towards image compression with perfect realism at ultra-low bitrates ICLR 2024 Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale EMNLP 2024 Towards Language-Driven Video Inpainting via Multimodal Large Language Models CVPR 2024