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09/14/2023
ALWOD: Active Learning for Weakly-Supervised Object Detection
Object detection (OD), a crucial vision task, remains challenged by the ...
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09/08/2023
Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation
Large Language Models (LLMs) have made progress in various real-world ta...
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09/01/2023
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance
Cognitive diagnosis aims to diagnose students' knowledge proficiencies b...
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07/05/2023
Recommender Systems in the Era of Large Language Models (LLMs)
With the prosperity of e-commerce and web applications, Recommender Syst...
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06/11/2023
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Molecule discovery plays a crucial role in various scientific fields, ad...
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06/03/2023
Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing
Despite increasing interest in the automatic detection of media frames i...
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02/06/2023
Generative Diffusion Models on Graphs: Methods and Applications
Diffusion models, as a novel generative paradigm, have achieved remarkab...
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10/23/2022
Improving Chinese Named Entity Recognition by Search Engine Augmentation
Compared with English, Chinese suffers from more grammatical ambiguities...
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09/30/2022
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing
Sketch-and-extrude is a common and intuitive modeling process in compute...
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09/01/2022
Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations
Conversations are always related to certain topics. However, it is chall...
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08/12/2022
Sketched Reality: Sketching Bi-Directional Interactions Between Virtual and Physical Worlds with AR and Actuated Tangible UI
This paper introduces Sketched Reality, an approach that combines AR ske...
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09/16/2021
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition
Pre-trained language models lead Named Entity Recognition (NER) into a n...
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06/30/2021
Understanding and Improving Early Stopping for Learning with Noisy Labels
The memorization effect of deep neural network (DNN) plays a pivotal rol...
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02/04/2021
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval
Despite the abundance of multi-modal data, such as image-text pairs, the...
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12/02/2020
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels
The label noise transition matrix T, reflecting the probabilities that t...
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10/17/2020
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images
Increased awareness of the impact of food consumption on health and life...
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09/26/2019
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images
In this paper, we study the novel problem of not only predicting ingredi...
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05/12/2017