• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 396 matches

• 2024
• 
  Gianluca Detommaso, Alberto Gasparin, Michele Donini, Matthias W. Seeger, Andrew Gordon Wilson, Cédric Archambeau:
  Fortuna: A Library for Uncertainty Quantification in Deep Learning. J. Mach. Learn. Res. 25: 238:1-238:7 (2024)
• 
  Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
  Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. CEC 2024: 1-8
• 
  Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi:
  Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. ICLR 2024
• 
  Micah Goldblum, Marc Anton Finzi, Keefer Rowan, Andrew Gordon Wilson:
  Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning. ICML 2024
• 
  Yuhang He, Anoop Cherian, Gordon Wichern, Andrew Markham:
  Deep Neural Room Acoustics Primitive. ICML 2024
• 
  Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas:
  Modeling Caption Diversity in Contrastive Vision-Language Pretraining. ICML 2024
• 
  Sanae Lotfi, Marc Anton Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson:
  Non-Vacuous Generalization Bounds for Large Language Models. ICML 2024
• 
  Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
  Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. ICML 2024
• 
  Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson:
  Transferring Knowledge From Large Foundation Models to Small Downstream Models. ICML 2024
• 
  Shikai Qiu, Andres Potapczynski, Marc Anton Finzi, Micah Goldblum, Andrew Gordon Wilson:
  Compute Better Spent: Replacing Dense Layers with Structured Matrices. ICML 2024
• 
  Gordon V. Cormack, Maura R. Grossman, Andrew Harbison, Tom O'Halloran, Bronagh McManus:
  Unbiased Validation of Technology-Assisted Review for eDiscovery. SIGIR 2024: 2677-2681
• 
  Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson:
  Understanding the Detrimental Class-level Effects of Data Augmentation. CoRR abs/2401.01764 (2024)
• 
  Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
  Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR abs/2402.00809 (2024)
• 
  Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi:
  Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. CoRR abs/2402.04379 (2024)
• 
  Simone Riggi, Grazia Umana, C. Trigilio, Cristobal Bordiu, Filomena Bufano, Adriano Ingallinera, F. Cavallaro, Yjan Gordon, Ray P. Norris, G. Gürkan, P. Leto, C. Buemi, S. Loru, Andrew M. Hopkins, Miroslav D. Filipovic, Thomas Cecconello:
  Classification of compact radio sources in the Galactic plane with supervised machine learning. CoRR abs/2402.15232 (2024)
• 
  Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang:
  Chronos: Learning the Language of Time Series. CoRR abs/2403.07815 (2024)
• 
  Nikhel Gupta, Ray P. Norris, Zeeshan Hayder, Minh Huynh, Lars Petersson, X. Rosalind Wang, Andrew M. Hopkins, Heinz Andernach, Yjan Gordon, Simone Riggi, Miranda Yew, Evan J. Crawford, Bärbel S. Koribalski, Miroslav D. Filipovic, Anna D. Kapinska, Stanislav Shabala, Tessa Vernstrom, Joshua R. Marvil:
  RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey. CoRR abs/2403.14235 (2024)
• 
  Hossein Souri, Arpit Bansal, Hamid Kazemi, Liam Fowl, Aniruddha Saha, Jonas Geiping, Andrew Gordon Wilson, Rama Chellappa, Tom Goldstein, Micah Goldblum:
  Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion. CoRR abs/2403.16365 (2024)
• 
  Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas:
  Modeling Caption Diversity in Contrastive Vision-Language Pretraining. CoRR abs/2405.00740 (2024)
• 
  Diana Robinson, Christian Cabrera, Andrew D. Gordon, Neil D. Lawrence, Lars Mennen:
  Requirements are All You Need: The Final Frontier for End-User Software Engineering. CoRR abs/2405.13708 (2024)
• 
  Shikai Qiu, Andres Potapczynski, Marc Finzi, Micah Goldblum, Andrew Gordon Wilson:
  Compute Better Spent: Replacing Dense Layers with Structured Matrices. CoRR abs/2406.06248 (2024)
• 
  Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Yuyang Wang, Andrew Gordon Wilson:
  Transferring Knowledge from Large Foundation Models to Small Downstream Models. CoRR abs/2406.07337 (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 abs/2406.08391 (2024)
• 
  Ravid Shwartz-Ziv, Micah Goldblum, Arpit Bansal, C. Bayan Bruss, Yann LeCun, Andrew Gordon Wilson:
  Just How Flexible are Neural Networks in Practice? CoRR abs/2406.11463 (2024)
• 
  Sanae Lotfi, Yilun Kuang, Brandon Amos, Micah Goldblum, Marc Finzi, Andrew Gordon Wilson:
  Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models. CoRR abs/2407.18158 (2024)
• 
  Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus:
  Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024)
• 2023
• 
  Gordon Briggs, Andrew M. Lovett, Will Bridewell, Paul Bello:
  Attentional Strategies and the Transition From Subitizing to Estimation in Numerosity Perception. Cogn. Sci. 47(9) (2023)
• 
  Asanka Rathnayaka, Maggie Ezzat Gaber Gendy, Fan Wu, Md. Abdulla Al Mamun, Stephanie Jane Curtis, Gordon Bingham, Anton Y. Peleg, Andrew James Stewardson, Mehmet R. Yuce:
  An Autonomous IoT-Based Contact Tracing Platform in a COVID-19 Patient Ward. IEEE Internet Things J. 10(10): 8706-8717 (2023)
• 
  Robert D. Olson, Rida Assaf, Thomas S. Brettin, Neal Conrad, Clark Cucinell, James J. Davis, Donald M. Dempsey, Allan Dickerman, Emily M. Dietrich, Ronald W. Kenyon, Mehmet Kuscuoglu, Elliot J. Lefkowitz, Jian Lu, Dustin Machi, Catherine Macken, Chunhong Mao, Anna Maria Niewiadomska, Marcus Nguyen, Gary J. Olsen, Jamie C. Overbeek, Bruce D. Parrello, Victoria Parrello, Jacob s Porter, Gordon D. Pusch, Maulik Shukla, Indresh Singh, Lucy Stewart, Gene Tan, Chris Thomas, Margo VanOeffelen, Veronika Vonstein, Zachary S. Wallace, Andrew S. Warren, Alice R. Wattam, Fangfang Xia, Hyun Seung Yoo, Yun Zhang, Christian M. Zmasek, Richard H. Scheuermann, Rick L. Stevens:
  Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR. Nucleic Acids Res. 51(D1): 678-689 (2023)
• 
  Tao Ren, Canping Chen, Alexey V. Danilov, Susan Liu, Xiangnan Guan, Shunyi Du, Xiwei Wu, Mara H. Sherman, Paul T. Spellman, Lisa M. Coussens, Andrew C. Adey, Gordon B. Mills, Ling-Yun Wu, Zheng Xia:
  Supervised learning of high-confidence phenotypic subpopulations from single-cell data. Nat. Mac. Intell. 5(5): 528-541 (2023)

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