Adrian Weller

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 240

Top Venues

Publications

Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel P. Bruinsma, Richard E. Turner
Approximately Equivariant Neural Processes. CoRR (2024)
Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore R. Sumers, Michalis Korakakis, Umang Bhatt, Mark K. Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary A. Pardos, Adrian Weller, Thomas L. Griffiths
Representational Alignment Supports Effective Machine Teaching. CoRR (2024)
Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine M. Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
Large Language Models Must Be Taught to Know What They Don't Know. CoRR (2024)
Isaac Reid, Krzysztof Marcin Choromanski, Eli Berger, Adrian Weller
General Graph Random Features. ICLR (2024)
Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller
Confidential-DPproof: Confidential Proof of Differentially Private Training. ICLR (2024)
Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. ICLR (2024)
Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. AISTATS (2024)
Isaac Reid, Eli Berger, Krzysztof Marcin Choromanski, Adrian Weller
Repelling Random Walks. ICLR (2024)
Girish Sastry, Lennart Heim, Haydn Belfield, Markus Anderljung, Miles Brundage, Julian Hazell, Cullen O'Keefe, Gillian K. Hadfield, Richard Ngo, Konstantin Pilz, George Gor, Emma Bluemke, Sarah Shoker, Janet Egan, Robert F. Trager, Shahar Avin, Adrian Weller, Yoshua Bengio, Diane Coyle
Computing Power and the Governance of Artificial Intelligence. CoRR (2024)
Matthew Ashman, Cristiana Diaconu, Adrian Weller, Richard E. Turner
In-Context In-Context Learning with Transformer Neural Processes. CoRR (2024)
Matthew Wicker, Philip Sosnin, Adrianna Janik, Mark N. Müller, Adrian Weller, Calvin Tsay
Certificates of Differential Privacy and Unlearning for Gradient-Based Training. CoRR (2024)
Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. CoRR (2024)
Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt
Modulating Language Model Experiences through Frictions. CoRR (2024)
Cedegao E. Zhang, Katherine M. Collins, Lionel Wong, Adrian Weller, Joshua B. Tenenbaum
People use fast, goal-directed simulation to reason about novel games. CoRR (2024)
Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian Weller
Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport. CoRR (2024)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR (2024)
Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller
Efficient Graph Field Integrators Meet Point Clouds. ICML (2023)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
Human-in-the-Loop Mixup. UAI (2023)
Isaac Reid, Krzysztof Choromanski, Adrian Weller
Quasi-Monte Carlo Graph Random Features. CoRR (2023)
Matthew Ashman, Tommy Rochussen, Adrian Weller
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning. CoRR (2023)
Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller
FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features. CoRR (2023)
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
Do Invariances in Deep Neural Networks Align with Human Perception? AAAI (2023)
Isaac Reid, Krzysztof Choromanski, Valerii Likhosherstov, Adrian Weller
Simplex Random Features. CoRR (2023)
Matthew Wicker, Vihari Piratla, Adrian Weller
Certification of Distributional Individual Fairness. NeurIPS (2023)
Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf
Pairwise Similarity Learning is SimPLE. ICCV (2023)
Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller
Simplex Random Features. ICML (2023)
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
Perspectives on incorporating expert feedback into model updates. Patterns 4 (7) (2023)
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
Harms from Increasingly Agentic Algorithmic Systems. FAccT (2023)
Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik
Evaluating Language Models for Mathematics through Interactions. CoRR (2023)
Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Use perturbations when learning from explanations. NeurIPS (2023)
Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. FAccT (2023)
Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths
On the informativeness of supervision signals. UAI (2023)
Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs. CoRR (2023)
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR (2023)
Victoria Smith, Ali Shahin Shamsabadi, Carolyn Ashurst, Adrian Weller
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey. CoRR (2023)
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. EAAMO (2023)
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. CoRR (2023)
Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. CoRR (2023)
Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin
Approximating Full Conformal Prediction at Scale via Influence Functions. AAAI (2023)
Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees. ICLR (2023)
Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. CoRR (2023)
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
Controlling Text-to-Image Diffusion by Orthogonal Finetuning. CoRR (2023)
Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller
Mnemonist: Locating Model Parameters that Memorize Training Examples. UAI (2023)
Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. CoRR (2023)
Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf
Pairwise Similarity Learning is SimPLE. CoRR (2023)
Isaac Reid, Eli Berger, Krzysztof Choromanski, Adrian Weller
Repelling Random Walks. CoRR (2023)
Cedegao E. Zhang, Katherine M. Collins, Adrian Weller, Joshua B. Tenenbaum
AI for Mathematics: A Cognitive Science Perspective. CoRR (2023)
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
Getting aligned on representational alignment. CoRR (2023)
Isaac Reid, Krzysztof Choromanski, Eli Berger, Adrian Weller
Universal Graph Random Features. CoRR (2023)
Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller
Diffused Redundancy in Pre-trained Representations. CoRR (2023)
Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller
Efficient Graph Field Integrators Meet Point Clouds. CoRR (2023)
Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. ICLR (2023)
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
Harms from Increasingly Agentic Algorithmic Systems. CoRR (2023)
Bradley Butcher, Miri Zilka, Darren Cook, Jiri Hron, Adrian Weller
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents. CoRR (2023)
Yanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller
Scalable Infomin Learning. CoRR (2023)
Carolyn Ashurst, Adrian Weller
Fairness Without Demographic Data: A Survey of Approaches. EAAMO (2023)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR (2023)
Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller
SphereFace Revived: Unifying Hyperspherical Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Matthew Barker, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Umang Bhatt
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time. CoRR (2023)
Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon
Towards More Robust Interpretation via Local Gradient Alignment. AAAI (2023)
Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Towards Robust Metrics for Concept Representation Evaluation. CoRR (2023)
Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
Learning to Receive Help: Intervention-Aware Concept Embedding Models. CoRR (2023)
Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Towards Robust Metrics for Concept Representation Evaluation. AAAI (2023)
Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
Human Uncertainty in Concept-Based AI Systems. AIES (2023)
Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller
Robust Explanation Constraints for Neural Networks. ICLR (2023)
Valerii Likhosherstov, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel. NeurIPS (2023)
Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller
Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. MICCAI (2) (2023)
Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. CoRR (2023)
Yanzhi Chen, Michael U. Gutmann, Adrian Weller
Is Learning Summary Statistics Necessary for Likelihood-free Inference? ICML (2023)
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
Controlling Text-to-Image Diffusion by Orthogonal Finetuning. NeurIPS (2023)
Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
Learning Personalized Decision Support Policies. CoRR (2023)
Christian Knoll, Adrian Weller, Franz Pernkopf
Self-Guided Belief Propagation - A Homotopy Continuation Method. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller
On the Expressive Flexibility of Self-Attention Matrices. AAAI (2023)
Harry Camilleri, Carolyn Ashurst, Nithya Jaisankar, Adrian Weller, Miri Zilka
Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency. EAAMO (2023)
Matthew Wicker, Vihari Piratla, Adrian Weller
Certification of Distributional Individual Fairness. CoRR (2023)
Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Robust Learning from Explanations. CoRR (2023)
Isaac Reid, Adrian Weller, Krzysztof Marcin Choromanski
Quasi-Monte Carlo Graph Random Features. NeurIPS (2023)
Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
Learning to Receive Help: Intervention-Aware Concept Embedding Models. NeurIPS (2023)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. Trans. Mach. Learn. Res. 2023 (2023)
Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller
Estimation of Concept Explanations Should be Uncertainty Aware. CoRR (2023)
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller
Diffused Redundancy in Pre-trained Representations. NeurIPS (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. AISTATS (2023)
Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
Human Uncertainty in Concept-Based AI Systems. CoRR (2023)
Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt
GeValDi: Generative Validation of Discriminative Models. Tiny Papers @ ICLR (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. CoRR (2022)
Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf
On the Fairness of Causal Algorithmic Recourse. AAAI (2022)
Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
Structural Causal 3D Reconstruction. CoRR (2022)
Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Adrian Weller, Simon Maskell
Can We Automate the Analysis of Online Child Sexual Exploitation Discourse? CoRR (2022)
Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamás Sarlós, Adrian Weller, Thomas Weingarten
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers. ICML (2022)
Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
Measuring Representational Robustness of Neural Networks Through Shared Invariances. CoRR (2022)
Varun Babbar, Umang Bhatt, Adrian Weller
On the Utility of Prediction Sets in Human-AI Teams. IJCAI (2022)
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
Perspectives on Incorporating Expert Feedback into Model Updates. CoRR (2022)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4 (4) (2022)
Katherine M. Collins, Umang Bhatt, Adrian Weller
Eliciting and Learning with Soft Labels from Every Annotator. HCOMP (2022)
Miri Zilka, Bradley Butcher, Adrian Weller
A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets. NeurIPS (2022)
Varun Babbar, Umang Bhatt, Adrian Weller
On the Utility of Prediction Sets in Human-AI Teams. CoRR (2022)
Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
Measuring Representational Robustness of Neural Networks Through Shared Invariances. ICML (2022)
Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon
Towards More Robust Interpretation via Local Gradient Alignment. CoRR (2022)
James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N. Cohen, Adrian Weller
Synthetic Data - what, why and how? CoRR (2022)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Adrian Weller