conftrace_

energy-based model

251 papers

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Also known as

EBMS EBM

Co-occurring keywords

generative model (2892) markov chain monte carlo (725) variational inference (2069) out-of-distribution detection (617) diffusion model (3751) neural network (6616) latent space (854) langevin dynamics (128) image generation (2073) maximum likelihood (255)

Papers

BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering AAAI 2026
Energy-based Autoregressive Generation for Neural Population Dynamics AAAI 2026
Reinforcement Learning for Diffusion LLMs via Energy-Based Gibbs Alignment ACL 2026
C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026
Energy Matching based Preference Learning for Diffusion Language Models EACL 2026
HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs AAAI 2026
E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering AAAI 2026
Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy ACL 2026
Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange AAAI 2026
Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models ACL 2026
Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning AAAI 2026
Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection CVPR 2025
Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation IJCAI 2025
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations CVPR 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems ACL 2025
Exponential-Family Harmoniums with Neural Sufficient Statistics AAAI 2025
Improving NMT Models by Retrofitting Quality Estimators into Trainable Energy Loss COLING 2025
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling EMNLP 2025
Motion Modes: What Could Happen Next? CVPR 2025
EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space CVPR 2025
ETA: Energy-based Test-time Adaptation for Depth Completion ICCV 2025
Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling AAAI 2025
Learning Set Functions with Implicit Differentiation AAAI 2025
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs AAAI 2025