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2020 – today
- 2024
[j12]Alistair Knott
, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David M. Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio:
AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. 26(4): 63 (2024)- [j11]Alistair Knott, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David M. Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio:
Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. 26(4): 71 (2024) - [c120]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: 2278-2286 - [c119]Michalis Korakakis, Andreas Vlachos, Adrian Weller:
ALVIN: Active Learning Via INterpolation. EMNLP 2024: 22715-22728 - [c118]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 - [c117]Isaac Reid, Eli Berger, Krzysztof Marcin Choromanski, Adrian Weller:
Repelling Random Walks. ICLR 2024 - [c116]Isaac Reid, Krzysztof Marcin Choromanski, Eli Berger, Adrian Weller:
General Graph Random Features. ICLR 2024 - [c115]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 - [c114]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 - [i130]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 abs/2402.08797 (2024) - [i129]Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian Weller:
Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport. CoRR abs/2405.16541 (2024) - [i128]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 abs/2406.04302 (2024) - [i127]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 abs/2406.08391 (2024) - [i126]Matthew Wicker, Philip Sosnin, Adrianna Janik, Mark N. Müller, Adrian Weller, Calvin Tsay:
Certificates of Differential Privacy and Unlearning for Gradient-Based Training. CoRR abs/2406.13433 (2024) - [i125]Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel P. Bruinsma, Richard E. Turner:
Approximately Equivariant Neural Processes. CoRR abs/2406.13488 (2024) - [i124]Matthew Ashman, Cristiana Diaconu, Adrian Weller, Richard E. Turner:
In-Context In-Context Learning with Transformer Neural Processes. CoRR abs/2406.13493 (2024) - [i123]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 abs/2406.16807 (2024) - [i122]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 abs/2407.12804 (2024) - [i121]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 abs/2407.14095 (2024) - [i120]Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark K. Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths:
Building Machines that Learn and Think with People. CoRR abs/2408.03943 (2024) - [i119]Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Can Large Language Models Understand Symbolic Graphics Programs? CoRR abs/2408.08313 (2024) - [i118]Yanzhi Chen, Zijing Ou, Adrian Weller, Yingzhen Li:
Mutual Information Multinomial Estimation. CoRR abs/2408.09377 (2024) - [i117]Aoting Hu, Yanzhi Chen, Renjie Xie, Adrian Weller:
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective. CoRR abs/2409.06130 (2024) - [i116]Isaac Reid, Kumar Avinava Dubey, Deepali Jain, Will Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Choromanski:
Linear Transformer Topological Masking with Graph Random Features. CoRR abs/2410.03462 (2024) - [i115]Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller:
On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective. CoRR abs/2410.04541 (2024) - [i114]Matthew Ashman, Cristiana Diaconu, Eric Langezaal, Adrian Weller, Richard E. Turner:
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data. CoRR abs/2410.06731 (2024) - [i113]Michalis Korakakis, Andreas Vlachos, Adrian Weller:
ALVIN: Active Learning Via INterpolation. CoRR abs/2410.08972 (2024) - [i112]Kade M. Heckel, Adrian Weller:
Countering Autonomous Cyber Threats. CoRR abs/2410.18312 (2024) - [i111]Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, João Henriques, Kevin Ellis:
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. CoRR abs/2410.23156 (2024) - 2023
- [j10]Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller:
SphereFace Revived: Unifying Hyperspherical Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2458-2474 (2023) - [j9]Christian Knoll, Adrian Weller, Franz Pernkopf:
Self-Guided Belief Propagation - A Homotopy Continuation Method. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5139-5157 (2023) - [j8]Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar:
Perspectives on incorporating expert feedback into model updates. Patterns 4(7): 100780 (2023) - [j7]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) - [c113]Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin:
Approximating Full Conformal Prediction at Scale via Influence Functions. AAAI 2023: 6631-6639 - [c112]Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon:
Towards More Robust Interpretation via Local Gradient Alignment. AAAI 2023: 8168-8176 - [c111]Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller:
On the Expressive Flexibility of Self-Attention Matrices. AAAI 2023: 8773-8781 - [c110]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: 9277-9285 - [c109]Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik:
Towards Robust Metrics for Concept Representation Evaluation. AAAI 2023: 11791-11799 - [c108]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: 869-889 - [c107]Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf:
Iterative Teaching by Data Hallucination. AISTATS 2023: 9892-9913 - [c106]Carolyn Ashurst, Adrian Weller:
Fairness Without Demographic Data: A Survey of Approaches. EAAMO 2023: 14:1-14:12 - [c105]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: 19:1-19:15 - [c104]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: 28:1-28:19 - [c103]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 M. 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: 651-666 - [c102]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: 1553-1569 - [c101]Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Pairwise Similarity Learning is SimPLE. ICCV 2023: 5285-5295 - [c100]Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf:
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. ICLR 2023 - [c99]Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt:
GeValDi: Generative Validation of Discriminative Models. Tiny Papers @ ICLR 2023 - [c98]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 - [c97]Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller:
Robust Explanation Constraints for Neural Networks. ICLR 2023 - [c96]Yanzhi Chen, Michael U. Gutmann, Adrian Weller:
Is Learning Summary Statistics Necessary for Likelihood-free Inference? ICML 2023: 4529-4544 - [c95]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: 5978-6004 - [c94]Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller:
Simplex Random Features. ICML 2023: 28864-28888 - [c93]Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller:
Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. MICCAI (2) 2023: 446-456 - [c92]Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller:
Use perturbations when learning from explanations. NeurIPS 2023 - [c91]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 - [c90]Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller:
Diffused Redundancy in Pre-trained Representations. NeurIPS 2023 - [c89]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 - [c88]Isaac Reid, Adrian Weller, Krzysztof Marcin Choromanski:
Quasi-Monte Carlo Graph Random Features. NeurIPS 2023 - [c87]Matthew Wicker, Vihari Piratla, Adrian Weller:
Certification of Distributional Individual Fairness. NeurIPS 2023 - [c86]Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik:
Learning to Receive Help: Intervention-Aware Concept Embedding Models. NeurIPS 2023 - [c85]Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller:
Human-in-the-Loop Mixup. UAI 2023: 454-464 - [c84]Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller:
Mnemonist: Locating Model Parameters that Memorize Training Examples. UAI 2023: 1879-1888 - [c83]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: 2036-2046 - [i110]Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik:
Towards Robust Metrics for Concept Representation Evaluation. CoRR abs/2301.10367 (2023) - [i109]Isaac Reid, Krzysztof Choromanski, Valerii Likhosherstov, Adrian Weller:
Simplex Random Features. CoRR abs/2301.13856 (2023) - [i108]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 abs/2302.00787 (2023) - [i107]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 abs/2302.00942 (2023) - [i106]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 abs/2302.01925 (2023) - [i105]Bradley Butcher, Miri Zilka, Darren Cook, Jiri Hron, Adrian Weller:
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents. CoRR abs/2302.09324 (2023) - [i104]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 M. 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 abs/2302.10329 (2023) - [i103]Yanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller:
Scalable Infomin Learning. CoRR abs/2302.10701 (2023) - [i102]Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller:
Robust Learning from Explanations. CoRR abs/2303.06419 (2023) - [i101]Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf:
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. CoRR abs/2303.06484 (2023) - [i100]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 abs/2303.12872 (2023) - [i99]Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar:
Learning Personalized Decision Support Policies. CoRR abs/2304.06701 (2023) - [i98]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 abs/2305.07575 (2023) - [i97]Isaac Reid, Krzysztof Choromanski, Adrian Weller:
Quasi-Monte Carlo Graph Random Features. CoRR abs/2305.12470 (2023) - [i96]Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller:
Diffused Redundancy in Pre-trained Representations. CoRR abs/2306.00183 (2023) - [i95]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 abs/2306.01694 (2023) - [i94]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 abs/2306.07280 (2023) - [i93]Matthew Barker, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Umang Bhatt:
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time. CoRR abs/2306.08424 (2023) - [i92]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 abs/2306.14325 (2023) - [i91]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 abs/2307.07522 (2023) - [i90]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 abs/2307.15475 (2023) - [i89]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 abs/2309.12284 (2023) - [i88]Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik:
Learning to Receive Help: Intervention-Aware Concept Embedding Models. CoRR abs/2309.16928 (2023) - [i87]Victoria Smith, Ali Shahin Shamsabadi, Carolyn Ashurst, Adrian Weller:
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey. CoRR abs/2310.01424 (2023) - [i86]Isaac Reid, Eli Berger, Krzysztof Choromanski, Adrian Weller:
Repelling Random Walks. CoRR abs/2310.04854 (2023) - [i85]Isaac Reid, Krzysztof Choromanski, Eli Berger, Adrian Weller:
Universal Graph Random Features. CoRR abs/2310.04859 (2023) - [i84]Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Pairwise Similarity Learning is SimPLE. CoRR abs/2310.09449 (2023) - [i83]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 abs/2310.13018 (2023) - [i82]Cedegao E. Zhang, Katherine M. Collins, Adrian Weller, Joshua B. Tenenbaum:
AI for Mathematics: A Cognitive Science Perspective. CoRR abs/2310.13021 (2023) - [i81]Matthew Ashman, Tommy Rochussen, Adrian Weller:
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning. CoRR abs/2310.15786 (2023) - [i80]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 abs/2311.06243 (2023) - [i79]Matthew Wicker, Vihari Piratla, Adrian Weller:
Certification of Distributional Individual Fairness. CoRR abs/2311.11911 (2023) - [i78]Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller:
Estimation of Concept Explanations Should be Uncertainty Aware. CoRR abs/2312.08063 (2023) - 2022
- [j6]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): 413 (2022) - [j5]John Zerilli, Umang Bhatt, Adrian Weller:
How transparency modulates trust in artificial intelligence. Patterns 3(4): 100455 (2022) - [c82]Dan Ley, Umang Bhatt, Adrian Weller:
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. AAAI 2022: 7390-7398 - [c81]Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf:
On the Fairness of Causal Algorithmic Recourse. AAAI 2022: 9584-9594 - [c80]Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman:
CrossWalk: Fairness-Enhanced Node Representation Learning. AAAI 2022: 11963-11970 - [c79]Bradley Butcher, Christopher Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller:
Racial Disparities in the Enforcement of Marijuana Violations in the US. AIES 2022: 130-143 - [c78]Miri Zilka, Holli Sargeant, Adrian Weller:
Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study. AIES 2022: 880-889 - [c77]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. AAMAS 2022: 1337-1345 - [c76]Hanlin Zhang, Yifan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing:
Towards Principled Disentanglement for Domain Generalization. CVPR 2022: 8014-8024 - [c75]Nina Grgic-Hlaca, Gabriel Lima, Adrian Weller, Elissa M. Redmiles:
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness. EAAMO 2022: 21:1-21:12 - [c74]