Kevin Swersky
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 783 citations
Computer Science · #Semantic Web and Ontologies
- Scalable Bayesian Optimization Using Deep Neural Networks
2015/02/19 by Jasper Snoek, Oren Rippel, Snoek, Jasper +15 · 2 voices · 74 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #stat.ML
- Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015/12/10 by Bobak Shahriari, Kevin Swersky, Ziyu Wang +2 · 415 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference
- Prototypical Networks for Few-shot Learning
2017/03/15 by Jake Snell, Snell, Jake, Kevin Swersky +3 · 497 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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 · 17 citations
#cs.LG #stat.ML
- Directly Fine-Tuning Diffusion Models on Differentiable Rewards
2023/09/29 by Kevin Clark, Paul Vicol, Clark, Kevin +6 · 1 voice · 99 citations
Computer Science · Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #Aesthetic Perception and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #cs.CV #cs.LG
- Big Self-Supervised Models are Strong Semi-Supervised Learners
2020/06/17 by Ting Chen, Chen, Ting, Simon Kornblith +7 · 123 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Neural Network Applications
- Generative Moment Matching Networks
2015/02/10 by Yujia Li, Kevin Swersky, Li, Yujia +3 · 54 citations
Computer Science · #Artificial Intelligence (cs.AI) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
- Video models are zero-shot learners and reasoners
2025/09/24 by Thaddäus Wiedemer, Wiedemer, Thaddäus, Yuxuan Li +15 · 7 voices · 57 citations
#cs.LG #cs.AI #cs.CV #cs.RO
- Meta-Learning for Semi-Supervised Few-Shot Classification
2018/03/02 by Mengye Ren, Ren, Mengye, Eleni Triantafillou +13 · 51 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- Do generative video models understand physical principles?
2025/01/14 by Saman Motamed, Motamed, Saman, Laura Culp +7 · 4 voices · 44 citations
Computer Science · #Computational Physics and Python Applications #cs.AI #cs.CV #cs.GR #cs.LG
- 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 · 46 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
- The Variational Fair Autoencoder
2015/11/03 by Christos Louizos, Kevin Swersky, Louizos, Christos +7 · 22 citations
Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Freeze-Thaw Bayesian Optimization
2014/06/16 by Kevin Swersky, Swersky, Kevin, Jasper Snoek +3 · 21 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Input Warping for Bayesian Optimization of Non-stationary Functions
2014/02/05 by Jasper Snoek, Kevin Swersky, Snoek, Jasper +5 · 18 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
2021/02/12 by Yujun Yan, Milad Hashemi, Yan, Yujun +7 · 14 citations
Computer Science · Physics and Astronomy · Psychology · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health via Writing
- Graph Normalizing Flows
2019/05/30 by Jenny Liu, Aviral Kumar, Liu, Jenny +7 · 9 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Data-Driven Offline Optimization For Architecting Hardware Accelerators
2021/10/20 by Aviral Kumar, Kumar, Aviral, Amir Yazdanbakhsh +7 · 4 citations
Computer Science · Decision Sciences · #Advanced Data Storage Technologies #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Simulation Techniques and Applications
- An Imitation Learning Approach for Cache Replacement
2020/06/29 by Evan Liu, Liu, Evan Zheran, Milad Hashemi +7 · 3 citations
Computer Science · #Advanced Neural Network Applications #Cloud Computing and Resource Management #Data Stream Mining Techniques #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning to Improve Code Efficiency
2022/08/09 by Binghong Chen, Daniel Tarlow, Chen, Binghong +15 · 1 voice · 1 citation
Computer Science · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Software Engineering (cs.SE) #Software Engineering Research #cs.LG #cs.SE
- Learning Sparse Networks Using Targeted Dropout
2019/05/31 by Aidan N. Gomez, Gomez, Aidan N., Siddhartha Rao Kamalakara +10 · 2 citations
Computer Science · #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
- Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
2015/06/01 by Jimmy Ba, Ba, Jimmy, Kevin Swersky +5 · 3 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
- Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation
2024/05/31 by Bernd Bohnet, Bohnet, Bernd, Kevin Swersky +21 · 3 citations
Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Neural Execution Engines: Learning to Execute Subroutines
2020/06/15 by Yujun Yan, Yan, Yujun, Kevin Swersky +7 · 2 citations
Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
- Visual prompt engineering for video models
2026/07/28 by Robert Geirhos, Yuxuan Li, Thaddäus Wiedemer +7 · 1 voice
#cs.CV #cs.AI
- Apollo: Transferable Architecture Exploration
2021/02/02 by Amir Yazdanbakhsh, Yazdanbakhsh, Amir, Christof Angermueller +16 · 1 citation
Computer Science · Materials Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Materials Science
- Neural Networks for Modeling Source Code Edits
2019/04/04 by Rui Zhao, David Bieber, Zhao, Rui +5 · 2 citations
Computer Science · #Software Engineering Research #Topic Modeling #Advanced Malware Detection Techniques
- CUF: Continuous Upsampling Filters
2022/10/13 by Cristina Nader Vasconcelos, Vasconcelos, Cristina, Cengiz Öztireli +9 · 1 citation
Computer Science · Earth and Planetary Sciences · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Seismic Imaging and Inversion Techniques
- Fast Exact Inference for Recursive Cardinality Models
2012/10/16 by Daniel Tarlow, Kevin Swersky, Tarlow, Daniel +7 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
2023/11/08 by C. Daniel Freeman, Laura Culp, Freeman, C. Daniel +57 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
2024/08/14 by Jiri Hron, Hron, Jiri, Laura Culp +59 · 1 citation
Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health via Writing