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Found 6 papers, 1 papers with code
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Diffusion transformers have been widely adopted for text-to-image synthesis.
Apple Intelligence Foundation Language Models
We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute.
VALAN: Vision and Language Agent Navigation
VALAN is a lightweight and scalable software framework for deep reinforcement learning based on the SEED RL architecture.
Transferable Representation Learning in Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) tasks such as Room-to-Room (R2R) require machine agents to interpret natural language instructions and learn to act in visually realistic environments to achieve navigation goals.
Ranked #115 on
Vision and Language Navigation
on VLN Challenge
Multi-modal Discriminative Model for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a natural language grounding task where agents have to interpret natural language instructions in the context of visual scenes in a dynamic environment to achieve prescribed navigation goals.
Domain transfer through deep activation matching
We introduce a layer-wise unsupervised domain adaptation approach for the task of semantic segmentation.
