Adrian Weller
- Rethinking Attention with Performers
2020/09/30 by Krzysztof Choromański, Valerii Likhosherstov, Choromanski, Krzysztof +23 · 285 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Topic Modeling
- Getting aligned on representational alignment
2023/10/18 by Ilia Sucholutsky, Lukas Muttenthaler, Sucholutsky, Ilia +66 · 10 voices · 48 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE #q-bio.NC
- Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
2020/04/15 by Miles Brundage, Brundage, Miles, Shahar Avin +123 · 2 voices · 35 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Law, AI, and Intellectual Property #cs.CY
- MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
2023/09/21 by Longhui Yu, Yu, Longhui, Weisen Jiang +17 · 180 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
- Controlling Text-to-Image Diffusion by Orthogonal Finetuning
2023/06/12 by Zeju Qiu, Qiu, Zeju, Weiyang Liu +15 · 57 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- From Parity to Preference-based Notions of Fairness in Classification
2017/06/30 by Muhammad Bilal Zafar, Zafar, Muhammad Bilal, Isabel Valera +7 · 32 citations
Social Sciences · #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
2023/11/10 by Weiyang Liu, Zeju Qiu, Liu, Weiyang +25 · 38 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #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
- Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
2020/11/15 by Umang Bhatt, Bhatt, Umang, Javier Antorán +26 · 19 citations
Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning
- Large Language Models Must Be Taught to Know What They Don't Know
2024/06/12 by Sanyam Kapoor, Nate Gruver, Kapoor, Sanyam +17 · 35 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Structured Evolution with Compact Architectures for Scalable Policy\n Optimization
2018/04/06 by Krzysztof Choromański, Choromanski, Krzysztof, Mark Rowland +7 · 17 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Stochastic Gradient Optimization Techniques
- Building Machines that Learn and Think with People
2024/07/22 by Katherine M. Collins, Collins, Katherine M., Ilia Sucholutsky +23 · 34 citations
Computer Science · Social Sciences · #AI in Service Interactions #Ethics and Social Impacts of AI
- Getting a CLUE: A Method for Explaining Uncertainty Estimates
2020/06/11 by Javier Antorán, Umang Bhatt, Antorán, Javier +7 · 14 citations
Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management
- Synthetic Data -- what, why and how?
2022/05/06 by J.B. Jordon, Jordon, James, Łukasz Szpruch +13 · 13 citations
Computer Science · Decision Sciences · #Big Data Technologies and Applications #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Towards Principled Disentanglement for Domain Generalization
2021/11/27 by Hanlin Zhang, Yifan Zhang, Zhang, Hanlin +9 · 12 citations
Computer Science · #Adversarial Robustness in Machine Learning #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
- Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey
2023/09/27 by Victoria Smith, Ali Shahin Shamsabadi, Smith, Victoria +5 · 13 citations
Computer Science · #Topic Modeling
- Computing Power and the Governance of Artificial Intelligence
2024/02/13 by Girish Sastry, Sastry, Girish, Lennart Heim +35 · 1 voice · 12 citations
Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
- SphereFace2: Binary Classification is All You Need for Deep Face Recognition
2021/08/03 by Yandong Wen, Weiyang Liu, Wen, Yandong +7 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Machine Learning (cs.LG)
- Evaluating Language Models for Mathematics through Interactions
2023/06/02 by Katherine M. Collins, Collins, Katherine M., Albert Q. Jiang +25 · 12 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Topic Modeling
- Can Large Language Models Understand Symbolic Graphics Programs?
2024/08/15 by Zeju Qiu, Weiyang Liu, Qiu, Zeju +18 · 2 voices · 15 citations
Computer Science · #Model-Driven Software Engineering Techniques
- From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
2021/07/16 by Krzysztof Choromański, Han Lin, Choromanski, Krzysztof +17 · 8 citations
Mathematics · Neuroscience · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Photoreceptor and optogenetics research #Quantum optics and atomic interactions #Random Matrices and Applications
- CrossWalk: Fairness-enhanced Node Representation Learning
2021/05/06 by Ahmad Khajehnejad, Khajehnejad, Ahmad, M. Amin Khajehnejad +9 · 7 citations
Psychology · Social Sciences · #Behavioral Health and Interventions #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Social and Intergroup Psychology
- On the Fairness of Causal Algorithmic Recourse
2020/10/13 by Julius von Kügelgen, Amir-Hossein Karimi, von Kügelgen, Julius +9 · 7 citations
Neuroscience · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Psychology of Moral and Emotional Judgment
- Orthogonal Over-Parameterized Training
2020/04/09 by Weiyang Liu, Liu, Weiyang, Rongmei Lin +12 · 6 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
- Orthogonal Estimation of Wasserstein Distances
2019/03/09 by Mark Rowland, Jiri Hron, Rowland, Mark +9 · 6 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
2024/10/30 by Yichao Liang, Nishanth Kumar, Liang, Yichao +12 · 17 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Computer Vision and Pattern Recognition (cs.CV) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- On the Expressive Power of Self-Attention Matrices
2021/06/07 by Valerii Likhosherstov, Likhosherstov, Valerii, Krzysztof Choromański +3 · 6 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning and Algorithms
- PolyViT: Co-training Vision Transformers on Images, Videos and Audio
2021/11/25 by Valerii Likhosherstov, Likhosherstov, Valerii, Anurag Arnab +11 · 5 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
2020/06/05 by Krzysztof Choromański, Choromanski, Krzysztof, Valerii Likhosherstov +21 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics #Machine Learning in Materials Science #Topic Modeling
- SphereFace Revived: Unifying Hyperspherical Face Recognition
2021/09/12 by Weiyang Liu, Yandong Wen, Liu, Weiyang +7 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Machine Learning (cs.LG)
- Approximating Full Conformal Prediction at Scale via Influence Functions
2022/02/02 by Javier Abad, Umang Bhatt, Abad, Javier +5 · 4 citations
Computer Science · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Healthcare #Statistical Methods and Inference
- Blind Justice: Fairness with Encrypted Sensitive Attributes
2018/06/08 by Niki Kilbertus, Adrià Gascón, Matt J. Kusner +3 · 1 voice · 1 citation
Mathematics · Computer Science · #stat.ML #cs.CR #cs.CY #cs.LG
- Robust Explanation Constraints for Neural Networks
2022/12/16 by Matthew Wicker, Juyeon Heo, Wicker, Matthew +5 · 5 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Now You See Me (CME): Concept-based Model Extraction
2020/10/25 by Dmitry Kazhdan, Botty Dimanov, Kazhdan, Dmitry +7 · 3 citations
Computer Science · Decision Sciences · #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #Topic Modeling
- The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
2023/06/25 by Lance Ying, Katherine M. Collins, Ying, Lance +13 · 6 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
2023/07/28 by Matthew L Barker, Barker, Matthew, Emma Kallina +15 · 5 citations
Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #Business Process Modeling and Analysis #Software System Performance and Reliability
- Modulating Language Model Experiences through Frictions
2024/06/24 by Katherine M. Collins, Collins, Katherine M., Valerie Chen +15 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
2022/02/24 by Matthew Ashman, Thang D. Bui, Ashman, Matthew +11 · 3 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Statistical Methods and Inference
- Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models: Extension
2019/05/24 by Yunfei Teng, Wenbo Gao, Teng, Yunfei +9 · 3 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Optimal experimental design via Bayesian optimization: active causal\n structure learning for Gaussian process networks
2019/10/09 by Julius von Kügelgen, von Kügelgen, Julius, Paul K. Rubenstein +6 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
2023/07/09 by Héctor Zenil, Jesper Tegnér, Zenil, Hector +37 · 4 citations
Computer Science · Decision Sciences · Materials Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Scientific Computing and Data Management
- Approximately Equivariant Neural Processes
2024/06/19 by Matthew Ashman, Cristiana Diaconu, Ashman, Matthew +8 · 1 voice · 3 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #cs.LG #stat.ML
- Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches
2021/04/14 by Dmitry Kazhdan, Kazhdan, Dmitry, Botty Dimanov +9 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Human Uncertainty in Concept-Based AI Systems
2023/03/22 by Katherine M. Collins, Collins, Katherine M., Matthew L Barker +15 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning and Data Classification
- WatChat: Explaining perplexing programs by debugging mental models
2024/03/08 by Kartik Chandra, Chandra, Kartik, Katherine M. Collins +18 · 1 voice · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Programming Languages (cs.PL) #Software Engineering Research #cs.AI #cs.HC #cs.PL
- Diverse, Global and Amortised Counterfactual Explanations for\n Uncertainty Estimates
2021/12/05 by Dan Ley, Umang Bhatt, Ley, Dan +3 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Adversarial Robustness in Machine Learning
- Perspectives on Incorporating Expert Feedback into Model Updates
2022/05/13 by Valerie Chen, Umang Bhatt, Chen, Valerie +7 · 2 citations
Computer Science · #Data Visualization and Analytics #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
- An Empirical Study on Learning Fairness Metrics for COMPAS Data with\n Human Supervision
2019/10/22 by Hanchen Wang, Wang, Hanchen, Nina Grgić-Hlača +7 · 2 citations
Medicine · Neuroscience · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Ethics in Clinical Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Psychology of Moral and Emotional Judgment
- Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
2023/03/11 by Weiyang Liu, Liu, Weiyang, Longhui Yu +5 · 3 citations
Computer Science · #Advanced Neural Network Applications #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) #Neural Networks and Applications
- Sub-Linear Memory: How to Make Performers SLiM
2020/12/21 by Valerii Likhosherstov, Likhosherstov, Valerii, Krzysztof Choromański +7 · 3 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Learning Personalized Decision Support Policies
2023/04/13 by Umang Bhatt, Bhatt, Umang, Valerie Chen +11 · 2 citations
Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Decision-Making and Behavioral Economics #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Smart Grid Energy Management
- Selective Concept Models: Permitting Stakeholder Customisation at Test-Time
2023/06/14 by Matthew L Barker, Katherine M. Collins, Barker, Matthew +7 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
- Diffused Redundancy in Pre-trained Representations
2023/05/31 by Vedant Nanda, Till Speicher, Nanda, Vedant +9 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- On Fairness, Diversity and Randomness in Algorithmic Decision Making
2017/06/30 by Nina Grgić-Hlača, Grgić-Hlača, Nina, Muhammad Bilal Zafar +5 · 1 citation
Neuroscience · Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Psychology of Moral and Emotional Judgment
- People use fast, goal-directed simulation to reason about novel games
2024/07/19 by Cedegao E. Zhang, Zhang, Cedegao E., Katherine M. Collins +8 · 5 citations
Psychology · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #Educational Games and Gamification #FOS: Biological sciences #FOS: Computer and information sciences #Neurons and Cognition (q-bio.NC)
- Assessing Adaptive World Models in Machines with Novel Games
2025/07/17 by Lance Ying, Ying, Lance, Katherine M. Collins +28 · 2 voices · 6 citations
Computer Science · #Artificial Intelligence in Games #Computability, Logic, AI Algorithms #Reinforcement Learning in Robotics #cs.AI #cs.LG
- AI for Mathematics: A Cognitive Science Perspective
2023/10/19 by Cedegao E. Zhang, Katherine M. Collins, Zhang, Cedegao E. +5 · 2 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Cognitive Science and Mapping #FOS: Biological sciences #FOS: Computer and information sciences #Neurons and Cognition (q-bio.NC) #Topic Modeling
- Time Dependence in Non-Autonomous Neural ODEs
2020/05/05 by Jared Quincy Davis, Krzysztof Choromański, Davis, Jared Quincy +15 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models
2025/07/16 by Lionel Wong, Katherine M. Collins, Wong, Lionel +19 · 4 voices · 7 citations
Computer Science · #cs.CL #cs.AI #cs.PL
- Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning
2023/10/24 by Matthew Ashman, Tommy Rochussen, Ashman, Matthew +3 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective
2024/09/10 by Aoting Hu, Yanzhi Chen, Hu, Aoting +5 · 2 citations
Computer Science · #Advanced Steganography and Watermarking Techniques #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Digital Rights Management and Security #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting
- Do Invariances in Deep Neural Networks Align with Human Perception?
2021/11/29 by Vedant Nanda, Ayan Majumdar, Nanda, Vedant +11 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Quasi-Monte Carlo Graph Random Features
2023/05/21 by Isaac Reid, Krzysztof Choromański, Reid, Isaac +3 · 2 citations
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration
- Structural Causal 3D Reconstruction
2022/07/20 by Weiyang Liu, Liu, Weiyang, Zhen Liu +7 · 1 citation
Computer Science · Engineering · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Robotics and Sensor-Based Localization
- Multi-disciplinary fairness considerations in machine learning for clinical trials
2022/05/18 by Isabel Chien, Chien, Isabel, Nina Deliu +9 · 1 citation
Economics, Econometrics and Finance · Medicine · #Health Systems, Economic Evaluations, Quality of Life #Artificial Intelligence in Healthcare and Education #Ethics in Clinical Research
- Measuring Representational Robustness of Neural Networks Through Shared Invariances
2022/06/23 by Vedant Nanda, Till Speicher, Nanda, Vedant +9 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
- Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
2023/02/03 by Krzysztof Choromański, Choromanski, Krzysztof Marcin, Shanda Li +17 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Bioinformatics #Machine Learning in Materials Science
- Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents
2023/02/18 by Bradley Butcher, Miri Zilka, Butcher, Bradley +7 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Computation and Language (cs.CL) #Digital and Cyber Forensics #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing
- Countering Autonomous Cyber Threats
2024/10/23 by Kade M. Heckel, Heckel, Kade M., Adrian Weller +1 · 2 citations
Computer Science · Social Sciences · #Network Security and Intrusion Detection #Cryptographic Implementations and Security #Cybersecurity and Cyber Warfare Studies
- General Graph Random Features
2023/10/07 by Isaac Reid, Krzysztof Choromański, Reid, Isaac +5 · 2 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
- In-Context In-Context Learning with Transformer Neural Processes
2024/06/19 by Matthew Ashman, Cristiana Diaconu, Ashman, Matthew +5 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications
- Continual Learning by Modeling Intra-Class Variation
2022/10/11 by Longhui Yu, Tianyang Hu, Yu, Longhui +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Iterative Teaching by Data Hallucination
2022/10/31 by Zeju Qiu, Qiu, Zeju, Weiyang Liu +13 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning
2024/12/19 by Simon Frieder, Jonas Bayer, Frieder, Simon +27 · 2 citations
Computer Science · #Numerical Methods and Algorithms #Mathematics, Computing, and Information Processing #Polynomial and algebraic computation
- Repelling Random Walks
2023/10/07 by Isaac Reid, Eli Berger, Reid, Isaac +5 · 1 voice · 1 citation
Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics
- Identifying, Evaluating, and Mitigating Risks of AI Thought Partnerships
2025/05/22 by Kerem Oktar, Oktar, Kerem, Katherine M. Collins +11 · 1 voice · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
- Scalable Infomin Learning
2023/02/21 by Yanzhi Chen, Chen, Yanzhi, Weihao Sun +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
2025/05/29 by Stephan Rabanser, Ali Shahin Shamsabadi, Rabanser, Stephan +9 · 1 voice · 2 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CR #cs.CY #cs.LG #stat.ML
- The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
2019/07/01 by Niki Kilbertus, Philip Ball, Kilbertus, Niki +7 · 1 citation
Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning