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09/02/2023
Bias and Fairness in Large Language Models: A Survey
Rapid advancements of large language models (LLMs) have enabled the proc...
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07/27/2023
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
Recent advancements in surgical computer vision applications have been d...
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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...
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07/08/2023
Fairness-Aware Graph Neural Networks: A Survey
Graph Neural Networks (GNNs) have become increasingly important due to t...
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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 ...
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05/20/2023
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer
In real-world scenarios, labeled samples for dialogue summarization are ...
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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...
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03/28/2023
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
We consider dynamic pricing strategies in a streamed longitudinal data s...
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02/21/2023
Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition
Automatic recognition of fine-grained surgical activities, called steps,...
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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...
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12/12/2022
Reinforced Approximate Exploratory Data Analysis
Exploratory data analytics (EDA) is a sequential decision making process...
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09/30/2022
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Temporal networks model a variety of important phenomena involving timed...
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09/06/2022
Hierarchical Conversational Preference Elicitation with Bandit Feedback
The recent advances of conversational recommendations provide a promisin...
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08/31/2022
Federated Online Clustering of Bandits
Contextual multi-armed bandit (MAB) is an important sequential decision-...
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08/21/2022
Comparison-based Conversational Recommender System with Relative Bandit Feedback
With the recent advances of conversational recommendations, the recommen...
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07/26/2022
Bundle MCR: Towards Conversational Bundle Recommendation
Bundle recommender systems recommend sets of items (e.g., pants, shirt, ...
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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...
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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...
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04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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03/08/2022
Live Laparoscopic Video Retrieval with Compressed Uncertainty
Searching through large volumes of medical data to retrieve relevant inf...
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01/06/2022
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Classification of long sequential data is an important Machine Learning ...
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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 ...
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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...
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09/16/2021
Sparse Factorization of Large Square Matrices
Square matrices appear in many machine learning problems and models. Opt...
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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...
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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 ...
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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...
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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...
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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...
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05/04/2020
Reward Constrained Interactive Recommendation with Natural Language Feedback
Text-based interactive recommendation provides richer user feedback and ...
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03/12/2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Since deep neural networks were developed, they have made huge contribut...
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06/07/2019
Figure Captioning with Reasoning and Sequence-Level Training
Figures, such as bar charts, pie charts, and line plots, are widely used...
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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...
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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 ...
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10/07/2018
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Deep neural networks, including recurrent networks, have been successful...
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01/22/2018
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition
Labeled data used for training activity recognition classifiers are usua...
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11/22/2017
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models
Dialog response selection is an important step towards natural response ...
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09/21/2017