b'Tong Yu'

research

∙ 09/02/2023

Bias and Fairness in Large Language Models: A Survey

Rapid advancements of large language models (LLMs) have enabled the proc...

0 Isabel O. Gallegos, et al. ∙

research

∙ 07/27/2023

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures

Recent advancements in surgical computer vision applications have been d...

0 Kun Yuan, et al. ∙

research

∙ 07/20/2023

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback

Captions are crucial for understanding scientific visualizations and doc...

0 Ashish Singh, et al. ∙

research

∙ 07/08/2023

Fairness-Aware Graph Neural Networks: A Survey

Graph Neural Networks (GNNs) have become increasingly important due to t...

0 April Chen, et al. ∙

research

∙ 05/31/2023

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels

Learning from noisy labels is an important and long-standing problem in ...

0 Jian Chen, et al. ∙

research

∙ 05/20/2023

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer

In real-world scenarios, labeled samples for dialogue summarization are ...

0 Kaige Xie, et al. ∙

research

∙ 04/26/2023

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Large language models (LLMs) are known for their exceptional performance...

0 Shuai Li, et al. ∙

research

∙ 03/28/2023

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model

We consider dynamic pricing strategies in a streamed longitudinal data s...

0 Rashmi Ranjan Bhuyan, et al. ∙

research

∙ 02/21/2023

Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition

Automatic recognition of fine-grained surgical activities, called steps,...

0 Sanat Ramesh, et al. ∙

research

∙ 02/13/2023

CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection

Formalizing surgical activities as triplets of the used instruments, act...

1 Chinedu Innocent Nwoye, et al. ∙

research

∙ 12/12/2022

Reinforced Approximate Exploratory Data Analysis

Exploratory data analytics (EDA) is a sequential decision making process...

0 Shaddy Garg, et al. ∙

research

∙ 09/30/2022

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs

Temporal networks model a variety of important phenomena involving timed...

0 Sudhanshu Chanpuriya, et al. ∙

research

∙ 09/06/2022

Hierarchical Conversational Preference Elicitation with Bandit Feedback

The recent advances of conversational recommendations provide a promisin...

0 Jinhang Zuo, et al. ∙

research

∙ 08/31/2022

Federated Online Clustering of Bandits

Contextual multi-armed bandit (MAB) is an important sequential decision-...

0 Xutong Liu, et al. ∙

research

∙ 08/21/2022

Comparison-based Conversational Recommender System with Relative Bandit Feedback

With the recent advances of conversational recommendations, the recommen...

0 Zhihui Xie, et al. ∙

research

∙ 07/26/2022

Bundle MCR: Towards Conversational Bundle Recommendation

Bundle recommender systems recommend sets of items (e.g., pants, shirt, ...

0 Zhankui He, et al. ∙

research

∙ 06/12/2022

ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths

Sequential data naturally have different lengths in many domains, with s...

0 Ruslan Khalitov, et al. ∙

research

∙ 04/22/2022

Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention

Self-Attention is a widely used building block in neural modeling to mix...

0 Tong Yu, et al. ∙

research

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

research

∙ 03/08/2022

Live Laparoscopic Video Retrieval with Compressed Uncertainty

Searching through large volumes of medical data to retrieve relevant inf...

0 Tong Yu, et al. ∙

research

∙ 01/06/2022

Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks

Classification of long sequential data is an important Machine Learning ...

67 Lei Cheng, et al. ∙

research

∙ 11/27/2021

LAFITE: Towards Language-Free Training for Text-to-Image Generation

One of the major challenges in training text-to-image generation models ...

9 Yufan Zhou, et al. ∙

research

∙ 09/30/2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

PURPOSE: Surgical workflow and skill analysis are key technologies for t...

10 Martin Wagner, et al. ∙

research

∙ 09/16/2021

Sparse Factorization of Large Square Matrices

Square matrices appear in many machine learning problems and models. Opt...

11 Ruslan Khalitov, et al. ∙

research

∙ 09/07/2021

Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

Out of all existing frameworks for surgical workflow analysis in endosco...

0 Chinedu Innocent Nwoye, et al. ∙

research

∙ 02/24/2021

Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures

Purpose: Automatic segmentation and classification of surgical activity ...

0 Sanat Ramesh, et al. ∙

research

∙ 09/30/2020

Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval

This paper tackles a new problem in computer vision: mid-stream video-to...

0 Tong Yu, et al. ∙

research

∙ 07/10/2020

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

Recognition of surgical activity is an essential component to develop co...

0 Chinedu Innocent Nwoye, et al. ∙

research

∙ 07/09/2020

Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems

We propose a novel framework for structured bandits, which we call an in...

0 Tong Yu, et al. ∙

research

∙ 05/04/2020

Reward Constrained Interactive Recommendation with Natural Language Feedback

Text-based interactive recommendation provides richer user feedback and ...

0 Ruiyi Zhang, et al. ∙

research

∙ 03/12/2020

Hyper-Parameter Optimization: A Review of Algorithms and Applications

Since deep neural networks were developed, they have made huge contribut...

0 Tong Yu, et al. ∙

research

∙ 06/07/2019

Figure Captioning with Reasoning and Sequence-Level Training

Figures, such as bar charts, pie charts, and line plots, are widely used...

0 Charles Chen, et al. ∙

research

∙ 12/07/2018

Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase

We present a practical method for protecting data during the inference p...

0 Jianfeng Chi, et al. ∙

research

∙ 11/30/2018

Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition

Vision algorithms capable of interpreting scenes from a real-time video ...

0 Tong Yu, et al. ∙

research

∙ 10/07/2018

Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention

Deep neural networks, including recurrent networks, have been successful...

0 Ming Zeng, et al. ∙

research

∙ 01/22/2018

Semi-Supervised Convolutional Neural Networks for Human Activity Recognition

Labeled data used for training activity recognition classifiers are usua...

0 Ming Zeng, et al. ∙

research

∙ 11/22/2017

Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models

Dialog response selection is an important step towards natural response ...

0 Bing Liu, et al. ∙

research

∙ 09/21/2017

SpectralFPL: Online Spectral Learning for Single Topic Models

This paper studies how to efficiently learn an optimal latent variable m...

0 Tong Yu, et al. ∙

Tong Yu

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