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

Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025
ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation COLING 2025
Improving NMT Models by Retrofitting Quality Estimators into Trainable Energy Loss COLING 2025
Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025
Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling AAAI 2025
EnergyCompress: A General Case Base Learning Strategy IJCAI 2025
ETA: Energy-based Test-time Adaptation for Depth Completion ICCV 2025
Task-Free Dynamic Sparse Vision Transformer for Continual Learning AAAI 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NIPS 2024
QGFN: Controllable Greediness with Action Values NIPS 2024
Towards training digitally-tied analog blocks via hybrid gradient computation NIPS 2024
Improved off-policy training of diffusion samplers NIPS 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes AAAI 2024
A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis AAAI 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models NIPS 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification INTERSPEECH 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NIPS 2024
ARM: Alignment with Residual Energy-Based Model NAACL 2024
Cascade of phase transitions in the training of energy-based models NIPS 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations INTERSPEECH 2024
Physics-informed Neural Networks with Unknown Measurement Noise L4DC 2024
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NIPS 2024