Li, Kevin

10 publications

ICLR 2025 Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters Kevin Li, Sachin Goyal, João D. Semedo, J Zico Kolter

ICLRW 2025 Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters Kevin Li, Sachin Goyal, João D. Semedo, J Zico Kolter

ICLRW 2025 Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners Daniele Paliotta, Junxiong Wang, Matteo Pagliardini, Kevin Li, Aviv Bick, Albert Gu, François Fleuret, Tri Dao

IJCAI 2024 Interactive Visual Learning for Stable Diffusion Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

AISTATS 2024 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression Kevin Li, Max Balakirsky, Simon Mak

NeurIPS 2023 Bounded Rationality in Structured Density Estimation Tianyuan Teng, Kevin Li, Hang Zhang

AAAI 2023 Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract) Kevin Li, Rahul Duggal, Duen Horng Chau

NeurIPS 2023 Self-Predictive Universal AI Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness

ICMLW 2022 Effective Offline RL Needs Going Beyond Pessimism: Representations and Distributional Shift Xinyang Geng, Kevin Li, Abhishek Gupta, Aviral Kumar, Sergey Levine

ICML 2021 MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H Pong, Aurick Zhou, Justin Yu, Sergey Levine