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)

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation ICCV 2025 Avoidance Decoding for Diverse Multi-Branch Story Generation EMNLP 2025 Awes, Laws, and Flaws From Today’s LLM Research ACL 2025 A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods AAAI 2025 Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models EMNLP 2025 BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction CVPR 2025 Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction ICCV 2025 Balanced Image Stylization with Style Matching Score ICCV 2025 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025 Balancing Knowledge Updates: Toward Unified Modular Editing in LLMs ACML 2025 Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing ICML 2025 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation IJCAI 2025 BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting CVPR 2025 BARNN: A Bayesian Autoregressive and Recurrent Neural Network ICML 2025 BARTABSA++: Revisiting BARTABSA with Decoder LLMs ACL 2025 Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models ICML 2025 Bayesian Experimental Design Via Contrastive Diffusions ICLR 2025 Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025 Bayesian Optimal Latent Projection for Noisy Image Restoration WACV 2025 Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025 BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation EMNLP 2025 Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders ICML 2025 Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning ICML 2025 Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing CoRL 2025