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08/29/2023
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Continual learning aims to empower artificial intelligence (AI) with str...
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07/05/2023
LongNet: Scaling Transformers to 1,000,000,000 Tokens
Scaling sequence length has become a critical demand in the era of large...
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01/31/2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
To cope with real-world dynamics, an intelligent agent needs to incremen...
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12/08/2022
Momentum Calibration for Text Generation
The input and output of most text generation tasks can be transformed to...
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11/03/2022
Latent Prompt Tuning for Text Summarization
Prompts with different control signals (e.g., length, keywords, etc.) ca...
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08/16/2022
HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation
Significant improvement has been made on just noticeable difference (JND...
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07/13/2022
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
Continual learning requires incremental compatibility with a sequence of...
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06/09/2022
Diagnosing Ensemble Few-Shot Classifiers
The base learners and labeled samples (shots) in an ensemble few-shot cl...
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04/28/2022
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
In zero-shot multilingual extractive text summarization, a model is typi...
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02/14/2022
Memory Replay with Data Compression for Continual Learning
Continual learning needs to overcome catastrophic forgetting of the past...
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01/07/2022
Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding
Recently, various view synthesis distortion estimation models have been ...
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09/08/2021
Sequence Level Contrastive Learning for Text Summarization
Contrastive learning models have achieved great success in unsupervised ...
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06/07/2021
Attention Temperature Matters in Abstractive Summarization Distillation
Recent progress of abstractive text summarization largely relies on larg...
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02/16/2021
Does deep machine vision have just noticeable difference (JND)?
As an important perceptual characteristic of the Human Visual System (HV...
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10/16/2020
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Unsupervised extractive document summarization aims to select important ...
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10/07/2020
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
We propose a novel language-independent approach to improve the efficien...
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10/02/2020
Taking Modality-free Human Identification as Zero-shot Learning
Human identification is an important topic in event detection, person tr...
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04/04/2020
STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization
Abstractive summarization aims to rewrite a long document to its shorter...
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02/10/2020
From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition
In zero-shot learning (ZSL), the samples to be classified are usually pr...
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12/12/2019
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene
Due to the deteriorated conditions of lack and uneven lighting, nightti...
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12/04/2019
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Graph representation learning aims to encode all nodes of a graph into l...
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11/28/2019
Understand Dynamic Regret with Switching Cost for Online Decision Making
As a metric to measure the performance of an online method, dynamic regr...
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11/17/2019
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
Different from Visual Question Answering task that requires to answer on...
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10/24/2019
ProLFA: Representative Prototype Selection for Local Feature Aggregation
Given a set of hand-crafted local features, acquiring a global represent...
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10/24/2019
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries
Zero-shot learning (ZSL) has received extensive attention recently espec...
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10/24/2019
Hierarchical Prototype Learning for Zero-Shot Recognition
Zero-Shot Learning (ZSL) has received extensive attention and successes ...
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10/22/2019
Convolutional Prototype Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) has received increasing attention in recent yea...
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05/16/2019
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
Neural extractive summarization models usually employ a hierarchical enc...
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08/22/2018
Neural Latent Extractive Document Summarization
Extractive summarization models need sentence level labels, which are us...
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03/31/2017
Sentence Simplification with Deep Reinforcement Learning
Sentence simplification aims to make sentences easier to read and unders...
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06/03/2016
Dependency Parsing as Head Selection
Conventional graph-based dependency parsers guarantee a tree structure b...
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10/31/2015