Cody Wild
- Adversarial Policies: Attacking Deep Reinforcement Learning
2019/05/25 by Adam Gleave, Michael D. Dennis, Michael Dennis +10 · 1 voice · 48 citations
Computer Science · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Anomaly Detection Techniques and Applications
- On the generalization of language models from in-context learning and finetuning: a controlled study
2025/05/01 by Andrew K. Lampinen, Lampinen, Andrew K., Arslan Chaudhry +18 · 4 voices · 16 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
- Pruned Neural Networks are Surprisingly Modular
2020/03/10 by Daniel Filan, Shlomi Hod, Filan, Daniel +7 · 1 voice
Computer Science · Materials Science · #Machine Learning and ELM #Machine Learning in Materials Science #Neural Networks and Applications #cs.LG #cs.NE
- ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation
2019/03/13 by Ethan M. Rudd, Felipe N. Ducau, Rudd, Ethan M. +7 · 2 citations
Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection
- Clusterability in Neural Networks
2021/03/04 by Daniel Filan, Stephen Casper, Filan, Daniel +9 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- The MineRL BASALT Competition on Learning from Human Feedback
2021/07/05 by Rohin Shah, Cody Wild, Shah, Rohin +23 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning