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07/29/2023
RoCar: A Relationship Network-based Evaluation Method to Large Language Models
Large language models (LLMs) have received increasing attention. However...
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06/20/2023
InRank: Incremental Low-Rank Learning
The theory of greedy low-rank learning (GLRL) aims to explain the impres...
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05/24/2023
Evaluate What You Can't Evaluate: Unassessable Generated Responses Quality
LLMs (large language models) such as ChatGPT have shown remarkable langu...
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05/17/2023
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt
We have witnessed the rapid proliferation of multimodal data on numerous...
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05/08/2023
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering
Maximizing the user-item engagement based on vectorized embeddings is a ...
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04/01/2023
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space
Searching on bipartite graphs is basal and versatile to many real-world ...
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03/09/2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
Human brains respond to semantic features of presented stimuli with diff...
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02/21/2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Trustworthy artificial intelligence (AI) technology has revolutionized d...
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01/03/2023
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
With the rapid development of deep learning models and hardware support ...
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12/18/2022
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
We investigate response generation for multi-turn dialogue in generative...
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12/07/2022
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling
Prototype-based interpretability methods provide intuitive explanations ...
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11/29/2022
Dimensionality-Varying Diffusion Process
Diffusion models, which learn to reverse a signal destruction process to...
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11/28/2022
Incremental Fourier Neural Operator
Recently, neural networks have proven their impressive ability to solve ...
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11/08/2022
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
Sparsity of formal knowledge and roughness of non-ontological constructi...
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11/02/2022
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Contrastive self-supervised learning (CSL) based on instance discriminat...
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10/25/2022
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
Current end-to-end retrieval-based dialogue systems are mainly based on ...
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10/14/2022
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems
The rapid integration of artificial intelligence across traditional rese...
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08/18/2022
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation
Building dialogue generation systems in a zero-shot scenario remains a h...
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12/03/2021
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation
Due to the promising advantages in space compression and inference accel...
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09/16/2021
Dense Semantic Contrast for Self-Supervised Visual Representation Learning
Self-supervised representation learning for visual pre-training has achi...
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05/07/2021
Exploring Instance Relations for Unsupervised Feature Embedding
Despite the great progress achieved in unsupervised feature embedding, e...
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12/21/2020
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
We investigate response selection for multi-turn conversation in retriev...
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07/14/2020
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning
The financial sector presents many opportunities to apply various machin...
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07/06/2020
Progressive Cluster Purification for Unsupervised Feature Learning
In unsupervised feature learning, sample specificity based methods ignor...
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05/01/2020
Adversarial Synthesis of Human Pose from Text
This work introduces the novel task of human pose synthesis from text. I...
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09/23/2018
