Search Results for author:
Found 16 papers, 3 papers with code
Understanding and Alleviating Memory Consumption in RLHF for LLMs
Fine-tuning with Reinforcement Learning with Human Feedback (RLHF) is essential for aligning large language models (LLMs).
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
Recent innovations in autonomous drones have facilitated time-optimal flight in single-drone configurations and enhanced maneuverability in multi-drone systems through the application of optimal control and learning-based methods.
ProTrain: Efficient LLM Training via Memory-Aware Techniques
It is extremely memory-hungry to train Large Language Models (LLM).
USFM: A Universal Ultrasound Foundation Model Generalized to Tasks and Organs towards Label Efficient Image Analysis
In this paper, we present a universal US foundation model, named USFM, generalized to diverse tasks and organs towards label efficient US image analysis.
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images
To address this issue, a novel Two-Stage Detection and Diagnosis Network (TSDDNet) is proposed based on weakly supervised learning to enhance diagnostic accuracy of the ultrasound-based CAD for breast cancers.
RCMNet: A deep learning model assists CAR-T therapy for leukemia
Although testing on the CAR-T cells dataset, a decent performance is observed, which is attributed to the limited size of the dataset.
DEFT: Distilling Entangled Factors by Preventing Information Diffusion
Disentanglement is a highly desirable property of representation owing to its similarity to human understanding and reasoning.
Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network
In this paper, we design an integrated simulation-prediction system which estimates the Origin-Destination (OD) matrix of a road network using only flow rate information and predicts the behavior of the road network in different simulation scenarios.
ScriptWriter: Narrative-Guided Script Generation
In dialogue systems, it would also be useful to drive dialogues by a dialogue plan.
Multi-modal Datasets for Super-resolution
However, due to the variety of image degradation types in the real world, models trained on single-modal simulation datasets do not always have good robustness and generalization ability in different degradation scenarios.
High-Performance Statistical Computing in the Computing Environments of the 2020s
To our knowledge, this is the first demonstration of the feasibility of penalized regression of survival outcomes at this scale.
Computation
"Love is as Complex as Math": Metaphor Generation System for Social Chatbot
By embedding the framework into a chatbot system, we then enables the chatbot to communicate with users using figurative language.
Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences
A storyboard is a sequence of images to illustrate a story containing multiple sentences, which has been a key process to create different story products.
Composing a Picture Book by Automatic Story Understanding and Visualization
Pictures can enrich storytelling experiences.
Open-Access Full-Duplex Wireless in the ORBIT Testbed
We provide an FD transceiver baseline program and present two example FD experiments where 90dB and 85dB overall SI cancellation is achieved for a simple waveform and PSK modulated signals across both the RF and digital domains.
Networking and Internet Architecture Signal Processing
