2 citations · 2 across the 5 of their papers we have counts for
5 papers
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
NVIDIA, :, Aarti Basant +214
We introduce Nemotron-Nano-9B-v2, a hybrid Mamba-Transformer language model designed to increase throughput for reasoning workloads while achieving state-of-the-art accuracy compar…
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
NVIDIA, :, Aaron Blakeman +198
As inference-time scaling becomes critical for enhanced reasoning capabilities, it is increasingly becoming important to build models that are efficient to infer. We introduce Nemo…
PBP: Path-based Trajectory Prediction for Autonomous Driving
Sepideh Afshar, Nachiket Deo, Akshay Bhagat +5
Trajectory prediction plays a crucial role in the autonomous driving stack by enabling autonomous vehicles to anticipate the motion of surrounding agents. Goal-based prediction mod…
How to Backpropagate through Hungarian in Your DETR?
Lingji Chen, Alok Sharma, Chinmay Shirore +2
The DEtection TRansformer (DETR) approach, which uses a transformer encoder-decoder architecture and a set-based global loss, has become a building block in many transformer based…
Importance is in your attention: agent importance prediction for autonomous driving
Christopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju +5
Trajectory prediction is an important task in autonomous driving. State-of-the-art trajectory prediction models often use attention mechanisms to model the interaction between agen…