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Yasunori Toshimitsu, Benedek Forrai, Barnabas Gavin Cangan +4 authors
The tendon-driven Faive Hand, a biomimetic robotic hand, leverages reinforcement learning for zero-shot transfer of dexterous manipulation skills from simulation to physical hardware.
Yufan Jiang, Qiaozhi He, Xiaomin Zhuang +4 authors
RecycleGPT enhances language model decoding speed by reusing previous model states, reducing inference time with minimal performance loss.
Junyi Zeng, Chong Bao, Rui Chen +4 authors
Mirror-NeRF improves novel view synthesis and surface reconstruction by accurately modeling mirror reflections and geometry, using Whitted Ray Tracing and unified radiance fields.
Lei Song, Chuheng Zhang, Li Zhao +1 authors
GPT-4 demonstrates competitive HVAC control performance with minimal samples and technical debt, suggesting potential for direct application to industrial control tasks.
Miloš Stanojević, Laurent Sartran
SynJax provides efficient vectorized inference for structured distributions, enabling large-scale differentiable models that account for structured data, like trees and segmentations.
Jordan Dotzel, Gang Wu, Andrew Li +9 authors
FLIQS, a one-shot mixed-precision quantization search, improves accuracy and efficiency in deep neural network models without retraining.
Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan +1 authors
Compartmentalized Diffusion Models (CDM) enable the isolated training and flexible composition of diffusion models on distinct data sources, supporting selective forgetting, continual learning, and personalized model serving.
Robin San Roman, Yossi Adi, Antoine Deleforge +3 authors
A high-fidelity multi-band diffusion model generates high-quality audio from low-bitrate representations, outperforming existing techniques in perceptual quality.
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