Kelvin Xu

1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
   2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1363 citations
   #cs.CL #cs.AI
2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
   2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 555 citations
   Computer Science · #Semantic Web and Ontologies
3. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
   2024/08/06 by Charlie Snell, Snell, Charlie, Jaehoon Lee +5 · 9 voices · 386 citations
   #cs.LG #cs.CL
4. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
   2015/02/10 by Kelvin Xu, Xu, Kelvin, Jimmy Ba +13 · 1 voice · 56 citations
   #cs.LG #cs.CV
5. Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
   2019/03/07 by Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin +8 · 1 voice · 10 citations
   #cs.LG #stat.ML
6. Bridging the Gap Between Value and Policy Based Reinforcement Learning
   2017/02/28 by Ofir Nachum, Mohammad Norouzi, Nachum, Ofir +5 · 48 citations
   Computer Science · #Reinforcement Learning in Robotics
7. Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
   2023/12/11 by Avi Singh, John D. Co-Reyes, Singh, Avi +76 · 37 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
8. Small-scale proxies for large-scale Transformer training instabilities
   2023/09/25 by Mitchell Wortsman, Wortsman, Mitchell, Peter J. Liu +29 · 27 citations
   Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
9. LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
   2023/11/30 by Marwa Abdulhai, Abdulhai, Marwa, Isadora White +13 · 13 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
10. An Actor-Critic Algorithm for Sequence Prediction
    2016/07/24 by Dzmitry Bahdanau, Philémon Brakel, Bahdanau, Dzmitry +13 · 8 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
11. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Rohan Anil, Gemini Team, Anil, Rohan +2682 · 9 voices
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CL #cs.CV
12. Reset-Free Reinforcement Learning via Multi-Task Learning: Learning\n Dexterous Manipulation Behaviors without Human Intervention
    2021/04/22 by Abhishek Gupta, Justin Yu, Gupta, Abhishek +13 · 8 citations
    Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Adversarial Robustness in Machine Learning
13. Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
    2017/07/06 by Ofir Nachum, Mohammad Norouzi, Nachum, Ofir +5 · 8 citations
    Computer Science · #Reinforcement Learning in Robotics #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications
14. Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance
    2022/12/19 by Kelvin Xu, Xu, Kelvin, Zheyuan Hu +11 · 4 citations
    Engineering · Neuroscience · #Robot Manipulation and Learning #Teleoperation and Haptic Systems #Tactile and Sensory Interactions
15. Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
    2024/09/19 by Kiran Vodrahalli, Santiago Ontañón, Vodrahalli, Kiran +45 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies
16. Unsupervised Perceptual Rewards for Imitation Learning
    2016/12/20 by Pierre Sermanet, Sermanet, Pierre, Kelvin Xu +3 · 2 citations
    Computer Science · Engineering · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Behavioral Psychology Studies #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
17. Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
    2018/05/31 by Kelvin Xu, Xu, Kelvin, Ellis Ratner +7 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning