M.S.
Learned Token Pruning for Efficient Transformer Inference
Sehoon Kim [2023]
Efficient Parallelization of Natural Language Applications using GPUs
Chao-Yue Lai [2012]
Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training
Ekaterina Gonina [2011]
5th Year M.S.
Exploring the Limits of Small Language Models
Nicholas Lee [2023]
Treating Models Better for Language-agnostic Understanding
Brian Yu [2023]
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
Ruizhe Cheng [2021]
Extremely Lightweight Vocoders for On-device Speech Synthesis
Tianren Gao [2021]
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module
Bohan Zhai [2021]
Adaptive Text-to-Speech in Low Computational Resource Scenarios
Flora Xue [2020]
Contrastive Learning for Context-Based Off-Policy Actor-Critic Reinforcement Learning
Bernie Wang [2020]
NBDT: Neural-Backed Decision Trees
Daniel Ho [2020]
BeaverDam: Video Annotation Tool for Computer Vision Training Labels
Anting Shen [2016]
Driving dataset in the wild: Various driving scenes
Byung Gon Song [2016]