Mikhail Khodak
- A Large Self-Annotated Corpus for Sarcasm
2017/04/19 by Mikhail Khodak, Nikunj Saunshi, Khodak, Mikhail +3 · 1 voice · 7 citations
#cs.CL #cs.AI #cs.LG
- Advances and Open Problems in Federated Learning
2019/12/10 by Peter Kairouz, H. Brendan McMahan, Kairouz, Peter +115 · 362 citations
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Theoretical Analysis of Contrastive Unsupervised Representation Learning
2019/02/25 by Sanjeev Arora, Arora, Sanjeev, Hrishikesh Khandeparkar +7 · 54 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and Data Classification
- Specialized Foundation Models Struggle to Beat Supervised Baselines
2024/11/05 by Zongzhe Xu, Ritvik Gupta, Xu, Zongzhe +12 · 6 voices · 7 citations
Engineering · #Grouting, Rheology, and Soil Mechanics #Dam Engineering and Safety #Geotechnical Engineering and Underground Structures
- Adaptive Gradient-Based Meta-Learning Methods
2019/06/06 by Mikhail Khodak, Khodak, Mikhail, Maria-Florina Balcan +3 · 6 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
- Initialization and Regularization of Factorized Neural Layers
2021/05/03 by Mikhail Khodak, Khodak, Mikhail, Neil Tenenholtz +5 · 4 citations
Computer Science · Mathematics · Physics and Astronomy · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Tensor decomposition and applications
- Geometry-Aware Gradient Algorithms for Neural Architecture Search
2020/04/16 by Liam Li, Li, Liam, Mikhail Khodak +5 · 4 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
- Differentially Private Meta-Learning
2019/09/12 by Jeffrey Li, Li, Jeffrey, Mikhail Khodak +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- A Sample Complexity Separation between Non-Convex and Convex\n Meta-Learning
2020/02/25 by Nikunj Saunshi, Saunshi, Nikunj, Yi Zhang +5 · 4 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
- Learning Predictions for Algorithms with Predictions
2022/02/18 by Mikhail Khodak, Maria-Florina Balcan, Khodak, Mikhail +5 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems
- NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks
2021/10/12 by Renbo Tu, Nicholas J. Roberts, Tu, Renbo +9 · 2 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AANG: Automating Auxiliary Learning
2022/05/27 by Lucio M. Dery, Dery, Lucio M., Paul Michel +7 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Software Engineering Research #Topic Modeling
- Cross-Modal Fine-Tuning: Align then Refine
2023/02/11 by Jun-Hong Shen, Liam Li, Shen, Junhong +11 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Efficient Architecture Search for Diverse Tasks
2022/04/15 by Jun-Hong Shen, Mikhail Khodak, Shen, Junhong +3 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Bioinformatics #Machine Learning in Materials Science
- Provably tuning the ElasticNet across instances
2022/07/20 by Maria-Florina Balcan, Balcan, Maria-Florina, Mikhail Khodak +5 · 2 citations
Computer Science · Decision Sciences · #Machine Learning and Algorithms #Machine Learning and Data Classification #Advanced Bandit Algorithms Research