conftrace_

sampling method

109 papers

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diffusion model (3751) markov chain monte carlo (725) image generation (2073) bayesian inference (1907) text generation (2913) generative model (2892) large language model (13587) hamiltonian monte carlo (92) language model (4599) variational inference (2069)

Papers

Moment Matching Denoising Gibbs Sampling NIPS 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information ACL 2023
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective IJCAI 2022
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation EMNLP 2022
Local-Global MCMC kernels: the best of both worlds NIPS 2022
Probing BERT’s priors with serial reproduction chains ACL 2022
CHAAI@SMM4H’22: RoBERTa, GPT-2 and Sampling - An interesting concoction COLING 2022
A Sampling-Based Approach for Efficient Clustering in Large Datasets CVPR 2022
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees AAAI 2022
Sampling from Arbitrary Functions via PSD Models AISTATS 2022
A Functional Information Perspective on Model Interpretation ICML 2022
ITNLP at SemEval-2021 Task 11: Boosting BERT with Sampling and Adversarial Training for Knowledge Extraction ACL 2021
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021
Parallel tempering on optimized paths ICML 2021
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis EMNLP 2021
On Sampling-Based Training Criteria for Neural Language Modeling INTERSPEECH 2021
Language Model Evaluation Beyond Perplexity IJCNLP 2021
Validity-Based Sampling and Smoothing Methods for Multiple Reference Image Captioning NAACL 2021
Kernel Stein Discrepancy Descent ICML 2021
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions NIPS 2021
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021
Optimal Underdamped Langevin MCMC Method NIPS 2021
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020