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09/06/2023
Everyone Deserves A Reward: Learning Customized Human Preferences
Reward models (RMs) are crucial in aligning large language models (LLMs)...
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08/25/2023
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers
Although dominant in natural language processing, transformer-based mode...
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11/14/2022
Replacing Language Model for Style Transfer
We introduce replacing language model (RLM), a sequence-to-sequence lang...
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03/11/2022
Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases
Entity alignment (EA) merges knowledge graphs (KGs) by identifying the e...
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03/02/2022
Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis
In this paper, we propose a method of speaker adaption with intuitive pr...
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03/17/2021
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning
Voice style transfer, also called voice conversion, seeks to modify one ...
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03/11/2021
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
Pretrained text encoders, such as BERT, have been applied increasingly i...
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11/09/2020
Estimating Total Correlation with Mutual Information Bounds
Total correlation (TC) is a fundamental concept in information theory to...
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08/13/2020
WAFFLe: Weight Anonymized Factorization for Federated Learning
In domains where data are sensitive or private, there is great value in ...
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06/22/2020
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Mutual information (MI) minimization has gained considerable interests i...
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06/01/2020
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
Learning disentangled representations of natural language is essential f...
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10/05/2019
Gaussian-Process-Based Dynamic Embedding for Textual Networks
Textual network embedding aims to learn low-dimensional representations ...
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10/05/2019
Straight-Through Estimator as Projected Wasserstein Gradient Flow
The Straight-Through (ST) estimator is a widely used technique for back-...
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06/19/2019
Learning Compressed Sentence Representations for On-Device Text Processing
Vector representations of sentences, trained on massive text corpora, ar...
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06/05/2019
Improving Textual Network Embedding with Global Attention via Optimal Transport
Constituting highly informative network embeddings is an important tool ...
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07/04/2018
