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08/10/2023
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
Training large language models (LLMs) with open-domain instruction data ...
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07/13/2023
A Causal Framework to Unify Common Domain Generalization Approaches
Domain generalization (DG) is about learning models that generalize well...
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06/10/2023
Two-Stage Holistic and Contrastive Explanation of Image Classification
The need to explain the output of a deep neural network classifier is no...
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05/18/2023
Causal Document-Grounded Dialogue Pre-training
The goal of document-grounded dialogue (DocGD) is to generate a response...
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05/13/2023
Contrastive Domain Generalization via Logit Attribution Matching
Domain Generalization (DG) is an important open problem in machine learn...
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11/23/2022
Semi-Supervised Lifelong Language Learning
Lifelong learning aims to accumulate knowledge and alleviate catastrophi...
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11/06/2022
ViT-CX: Causal Explanation of Vision Transformers
Despite the popularity of Vision Transformers (ViTs) and eXplainable AI ...
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10/22/2022
Hard Gate Knowledge Distillation – Leverage Calibration for Robust and Reliable Language Model
In knowledge distillation, a student model is trained with supervisions ...
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10/22/2022
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation
Overconfidence has been shown to impair generalization and calibration o...
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10/14/2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...
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07/27/2022
Deep Clustering with Features from Self-Supervised Pretraining
A deep clustering model conceptually consists of a feature extractor tha...
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03/22/2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation
Building models of natural language processing (NLP) is challenging in l...
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03/16/2022
Example Perplexity
Some examples are easier for humans to classify than others. The same sh...
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08/01/2021
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
Text style transfer aims to alter the style (e.g., sentiment) of a sente...
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07/05/2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
Rap generation, which aims to produce lyrics and corresponding singing b...
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05/21/2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
Personalized conversation models (PCMs) generate responses according to ...
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07/10/2020
Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling
Topic modeling has been one of the most active research areas in machine...
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05/13/2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
Neural conversation models are known to generate appropriate but non-inf...
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12/01/2019
Not All Attention Is Needed: Gated Attention Network for Sequence Data
Although deep neural networks generally have fixed network structures, t...
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05/17/2019
Cleaned Similarity for Better Memory-Based Recommenders
Memory-based collaborative filtering methods like user or item k-nearest...
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08/28/2018
Using Taste Groups for Collaborative Filtering
Implicit feedback is the simplest form of user feedback that can be used...
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08/28/2018
Matrix Factorization Equals Efficient Co-occurrence Representation
Matrix factorization is a simple and effective solution to the recommend...
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06/06/2018
Learning Hierarchical Item Categories from Implicit Feedback Data for Efficient Recommendations and Browsing
Searching, browsing, and recommendations are common ways in which the "c...
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03/16/2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Despite the popularity of deep learning, structure learning for deep mod...
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03/14/2018
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
Sparse connectivity is an important factor behind the success of convolu...
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03/14/2018
Latent Tree Variational Autoencoder for Joint Representation Learning and Multidimensional Clustering
Recently, deep learning based clustering methods are shown superior to t...
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12/12/2017
Document Generation with Hierarchical Latent Tree Models
In most probabilistic topic models, a document is viewed as a collection...
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04/06/2017
Conformative Filtering for Implicit Feedback Data
Implicit feedback is the simplest form of user feedback that can be used...
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05/21/2016
Latent Tree Models for Hierarchical Topic Detection
We present a novel method for hierarchical topic detection where topics ...
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01/26/2016
Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis
Objective: To treat patients with vascular mild cognitive impairment (VM...
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08/05/2015