- RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
2026/03/04 by Yinpei Dai, Dai, Yinpei, Hongze Fu +7 · 1 voice · 1 citation
Computer Science · Engineering · Psychology · #Benchmark (surveying) #Benchmarking #Code (set theory) #Memory model #Multimodal Machine Learning Applications #Robot Manipulation and Learning #Social Robot Interaction and HRI #Suite #Taxonomy (biology) #cs.AI #cs.RO
- ATLAS: Learning to Optimally Memorize the Context at Test Time
2025/05/29 by Ali Behrouz, Zongjin Li, Zeman Li +14 · 4 voices · 28 citations
Computer Science · #Context (archaeology) #Context model #Disjoint sets #Memorization #Memory model #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Recurrent neural network #Topic Modeling #Transformer #cs.AI #cs.CL
- Porting HPC Applications to AMD InstinctTM MI300A Using Unified Memory and OpenMP
2024/05/01 by Suyash Tandon, Leopold Grinberg, Tandon, Suyash +12 · 3 voices · 5 citations
Computer Science · #Advanced Data Storage Technologies #Biology #Computer architecture #Computer science #Distributed and Parallel Computing Systems #Instinct #Memory model #Parallel computing #Porting #Programming language #Shared memory #cs.DC
- Grounded Language Learning Fast and Slow
2020/09/03 by Felix Hill, Olivier Tieleman, Hill, Felix +10 · 1 voice · 8 citations
Computer Science · Psychology · #Artificial intelligence #Coding (social sciences) #Cognition #Cognitive science #Computer science #Domain Adaptation and Few-Shot Learning #Embodied cognition #Episodic memory #Leverage (statistics) #Linguistics #Memory model #Multimodal Machine Learning Applications #Natural language processing #Object (grammar) #Perception #Psychology #Referent #Reinforcement learning #Topic Modeling #cs.AI #cs.CL
- Low-Memory Neural Network Training: A Technical Report
2019/04/24 by Nimit S. Sohoni, Christopher R. Aberger, Sohoni, Nimit S. +7 · 2 voices · 12 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial intelligence #Artificial neural network #Bottleneck #Computer science #Domain Adaptation and Few-Shot Learning #Embedded system #High memory #Inference #Machine learning #Memory model #Parallel computing #Shared memory #Transformer
- Bridging the Gap between Programming Languages and Hardware Weak Memory Models
2018/07/20 by Anton Podkopaev, Ori Lahav, Viktor Vafeiadis · 2 voices · 3 citations
Computer Science · #Bridging (networking) #Consistency (knowledge bases) #Correctness #Logic, programming, and type systems #Mathematical proof #Memory model #Parallel Computing and Optimization Techniques #Security and Verification in Computing #Semantics (computer science) #Sequential consistency #Weak consistency #cs.PL