Brando Miranda

1. Are Emergent Abilities of Large Language Models a Mirage?
   2023/04/28 by Rylan Schaeffer, Brando Miranda, Schaeffer, Rylan +3 · 20 voices · 78 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.LG
2. Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
   2025/06/24 by Rylan Schaeffer, Schaeffer, Rylan, Joshua Kazdan +25 · 2 voices · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.CY #cs.LG
3. Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
   2024/06/06 by Rylan Schaeffer, Schaeffer, Rylan, Hailey Schoelkopf +15 · 13 citations
   Computer Science · #Explainable Artificial Intelligence (XAI)
4. Theory of Deep Learning III: explaining the non-overfitting puzzle
   2017/12/30 by Tomaso Poggio, Kenji Kawaguchi, Poggio, Tomaso +13 · 9 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Gaussian Processes and Bayesian Inference
5. Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
   2024/07/21 by Rylan Schaeffer, Schaeffer, Rylan, Dan Valentine +27 · 9 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
   2023/06/24 by Brando Miranda, Miranda, Brando, A. Lee +7 · 6 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
7. A Surprising Linear Relationship Predicts Test Performance in Deep Networks
   2018/07/25 by Qianli Liao, Brando Miranda, Liao, Qianli +7 · 4 citations
   Computer Science · Materials Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science
8. Is Pre-training Truly Better Than Meta-Learning?
   2023/06/24 by Brando Miranda, Miranda, Brando, Patrick Yu +7 · 2 citations
   Computer Science · #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) #Machine Learning and Data Classification #Machine Learning in Healthcare
9. Lean-ing on Quality: How High-Quality Data Beats Diverse Multilingual Data in AutoFormalization
   2025/02/18 by Chan, Willy, Michael Souliman, Jakob Nordhagen +8 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Programming Languages (cs.PL)