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)

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset EMNLP 2024 AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion AAAI 2024 AMD: Autoregressive Motion Diffusion AAAI 2024 Amodal Completion via Progressive Mixed Context Diffusion CVPR 2024 A Modular Conditional Diffusion Framework for Image Reconstruction NeurIPS 2024 AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NeurIPS 2024 AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ICLR 2024 Amortized Variational Deep Kernel Learning ICML 2024 Amortized Variational Inference: When and Why? UAI 2024 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract) AAAI 2024 AMPO: Automatic Multi-Branched Prompt Optimization EMNLP 2024 AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One CVPR 2024 AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation EMNLP 2024 A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation AAAI 2024 A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024 AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024 ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NeurIPS 2024 Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity ICLR 2024 Analyzing and Improving the Training Dynamics of Diffusion Models CVPR 2024 Analyzing Diffusion Models on Synthesizing Training Datasets ACML 2024 An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation ICML 2024 An Analysis of the Variance of Diffusion-based Speech Enhancement Interspeech 2024 Anatomically Constrained Implicit Face Models CVPR 2024 An Audit on the Perspectives and Challenges of Hallucinations in NLP EMNLP 2024