Benjamin Rosman
14 papers · 2017–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(64)
💎
Century Club · Bronze
🚀
Conference Pioneer
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Core AI
(8)
Reinforcement Learning
(5)
Learning Types
(5)
Methods
(5)
Core Methods
(4)
Optimization & Theory
(3)
Interdisciplinary
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications
(2)
Learning Paradigms
(2)
Linguistics
(2)
Resources & Methods
(2)
Keywords
transfer learning
(4)
reinforcement learning
(3)
markov decision process
(2)
transition dynamics
(2)
skill composition
(2)
hierarchical reinforcement learning
(2)
high-level planning
(2)
multi-task learning
(2)
neural network
(2)
policy learning
(2)
low-resource language
(2)
task generalization
(1)
automatic speech recognition
(1)
feature learning
(1)
boolean algebra
(1)
speech processing
(1)
temporal abstraction
(1)
off-policy learning
(1)
multilingual nlp
(1)
continuous control
(1)
Papers
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
ICLR 2025
The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages
ACL 2025
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
ICLR 2024
The Zeno’s Paradox of ‘Low-Resource’ Languages
EMNLP 2024
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
NeurIPS 2023
On The Specialization of Neural Modules
ICLR 2023
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
ICLR 2022
Generalisation in Lifelong Reinforcement Learning through Logical Composition
ICLR 2022
A Boolean Task Algebra for Reinforcement Learning
NeurIPS 2020
Learning Portable Representations for High-Level Planning
ICML 2020
Composing Value Functions in Reinforcement Learning
ICML 2019
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization
ICLR 2018
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning
NeurIPS 2018
Hierarchy Through Composition with Multitask LMDPs
ICML 2017