← Authors

Erik Nijkamp

15 papers · 2017–2023 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (29) 🀝 Dynamic Duo (11) 🧬 Topic Evolution ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (64) πŸ’Ž Century Club (15)

Conferences

CVPR (4) NIPS (3) EACL (2) ICLR (2) AAAI (1) ACL (1) ECCV (1) NAACL (1)

Top co-authors

Ying Nian Wu (11) Bo Pang (10) Song-chun Zhu (9) Tian Han (6) Mitch Hill (4) Linqi Zhou (3) Caiming Xiong (3) Yingbo Zhou (2) Ruiqi Gao (2) Silvio Savarese (2)

Keywords

generative model (7) energy-based model (7) markov chain monte carlo (4) image generation (2) variational inference (2) maximum likelihood learning (2) maximum likelihood (2) adversarial learning (2) latent space (2) langevin dynamics (2) mcmc sampling (2) anomaly detection (2) unsupervised feature learning (1) text summarization (1) probabilistic modeling (1) language modeling (1) dialogue generation (1) sample efficiency (1) hierarchical model (1) object detection (1)

Papers

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis ICLR 2023
Long Document Summarization with Top-down and Bottom-up Inference EACL 2023
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC ICLR 2022
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM NIPS 2022
Generative Text Modeling through Short Run Inference EACL 2021
SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021
Flow Contrastive Estimation of Energy-Based Models CVPR 2020
Learning Latent Space Energy-Based Prior Model NIPS 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation ACL 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference ECCV 2020
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model NIPS 2019
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019
Generative Hierarchical Learning of Sparse FRAME Models CVPR 2017