Results 11 to 20 of about 26,943 (255)
Polyps of the cnidarian Hydra maintain their adult anatomy through two developmental organizers, the head organizer located apically and the foot organizer basally.
M. Vogg +7 more
semanticscholar +3 more sources
DRAM systems continue to be plagued by the Row-Hammer (RH) security vulnerability. The threshold number of row activations (TRH) required to induce RH has reduced rapidly from 139K in 2014 to 4.8K in 2020, and TRH is expected to reduce further, making RH
Moinuddin Qureshi +3 more
openaire +2 more sources
Mechanical oscillations orchestrate axial patterning through Wnt activation in Hydra
Mechanochemical feedback drives patterning in Hydra tissue during regeneration.
Jaroslav Ferenc +5 more
openalex +2 more sources
HYDRA: Model Factorization Framework for Black-Box LLM Personalization [PDF]
Personalization has emerged as a critical research area in modern intelligent systems, focusing on mining users' behavioral history and adapting to their preferences for delivering tailored experiences.
Yuchen Zhuang +6 more
openalex +2 more sources
The Hydra Effect: Emergent Self-repair in Language Model Computations [PDF]
We investigate the internal structure of language model computations using causal analysis and demonstrate two motifs: (1) a form of adaptive computation where ablations of one attention layer of a language model cause another layer to compensate (which ...
Tom McGrath +4 more
semanticscholar +1 more source
Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization [PDF]
3D scene graphs have recently emerged as a powerful high-level representation of 3D environments. A 3D scene graph describes the environment as a layered graph where nodes represent spatial concepts at multiple levels of abstraction and edges represent ...
Nathan Hughes, Yun Chang, L. Carlone
semanticscholar +1 more source
HYDRA: Hybrid Robot Actions for Imitation Learning [PDF]
Imitation Learning (IL) is a sample efficient paradigm for robot learning using expert demonstrations. However, policies learned through IL suffer from state distribution shift at test time, due to compounding errors in action prediction which lead to ...
Suneel Belkhale +2 more
semanticscholar +1 more source
Hydra Attention: Efficient Attention with Many Heads [PDF]
While transformers have begun to dominate many tasks in vision, applying them to large images is still computationally difficult. A large reason for this is that self-attention scales quadratically with the number of tokens, which in turn, scales ...
Daniel Bolya +4 more
semanticscholar +1 more source
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning [PDF]
The recent surge in large-scale foundation models has spurred the development of efficient methods for adapting these models to various downstream tasks.
Sanghyeon Kim +4 more
semanticscholar +1 more source

