Artificial Intelligence and Information Systems Lab
Artificial Intelligence and Information Systems Laboratory (AI-ISL) is a deep learning research lab,
focuses on information theoretic approach on various machine learning problems.
News
- We are looking for passionate new graduate students and undergrad interns to join our team.
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- Our group has 1 paper accepted to ICML 2024
- Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy
- ISL moved to department of Artificial Intelligence at Yonsei University.
- Our group has 1 papers accepted to NeurIPS 2023 Workshop on Diffusion Models
- LoRA can Replace Time and Class Embeddings in Diffusion Probabilistic Models
- Our group has 2 papers accepted to NeurIPS 2023
- Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
- Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
- Our group has 1 papers accepted to ICCV 2023 Workshop on Low-Bit Quantized Neural Networks
- Fully Quantized Always-on Face Detector Considering Mobile Image Sensors
- Our group has 1 papers accepted to ICML 2023 Workshop on Federated Learning
- Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
- Our group has 1 paper accepted to ECCV 2022
- Prune Your Model Before Distill It
- Our group has 1 paper accepted to ICML 2022
- Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
- Our group has 1 paper accepted to AISTATS 2022
- An Information-Theoretic Justification for Model Pruning
- Our group has 1 paper accepted to ICML 2021
- WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points