ML Anthology

Tang, Yujin

24 publications

TMLR 2026 Video Prediction Transformers Without Recurrence or Convolution Yujin Tang, Lu Qi, Xiangtai Li, Chao Ma, Ming-Hsuan Yang
ICLR 2025 Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang
ICLR 2025 An Evolved Universal Transformer Memory Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang
ICML 2025 Large Language Models to Diffusion Finetuning Edoardo Cetin, Tianyu Zhao, Yujin Tang
ICLRW 2025 Large Language Models to Diffusion Finetuning Edoardo Cetin, Tianyu Zhao, Yujin Tang
CVPR 2025 Mamba-Adaptor: State Space Model Adaptor for Visual Recognition Fei Xie, Jiahao Nie, Yujin Tang, Wenkang Zhang, Hongshen Zhao
NeurIPS 2025 Reinforcement Learning Teachers of Test Time Scaling Edoardo Cetin, Tianyu Zhao, Yujin Tang
ICML 2025 Text-to-LoRA: Instant Transformer Adaption Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
ICLR 2025 Transformer-Squared: Self-Adaptive LLMs Qi Sun, Edoardo Cetin, Yujin Tang
NeurIPSW 2024 $\text{Transformer}^2$: Self-Adaptive LLMs Qi Sun, Edoardo Cetin, Yujin Tang
NeurIPSW 2024 Agent Skill Acquisition for LLMs via CycleQD So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang
NeurIPSW 2024 Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang
NeurIPSW 2024 Improving Model Merging with Natural Niches João Abrantes, Robert Tjarko Lange, Yujin Tang
NeurIPSW 2024 Improving Model Merging with Natural Niches João Abrantes, Robert Tjarko Lange, Yujin Tang
NeurIPSW 2024 Instant Transformer Adaption via HyperLoRA Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
NeurIPSW 2024 Instant Transformer Adaption via HyperLoRA Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
ICML 2024 LEVI: Generalizable Fine-Tuning via Layer-Wise Ensemble of Different Views Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
ICML 2024 Position: Leverage Foundational Models for Black-Box Optimization Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
CVPRW 2024 VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
IJCAI 2023 DEIR: Efficient and Robust Exploration Through Discriminative-Model-Based Episodic Intrinsic Rewards Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko
NeurIPS 2023 NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications Robert Lange, Yujin Tang, Yingtao Tian
CoRL 2023 SayTap: Language to Quadrupedal Locomotion Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada
ICMLW 2022 An Investigation into the Open World Survival Game Crafter Aleksandar Stanić, Yujin Tang, David Ha, Jürgen Schmidhuber
NeurIPS 2021 The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning Yujin Tang, David Ha