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09/03/2023
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement
The goal of speech enhancement (SE) is to eliminate the background inter...
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08/15/2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
Edge Intelligence (EI) allows Artificial Intelligence (AI) applications ...
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07/14/2023
Improving BERT with Hybrid Pooling Network and Drop Mask
Transformer-based pre-trained language models, such as BERT, achieve gre...
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05/23/2023
Enhancing Generation through Summarization Duality and Explicit Outline Control
Automatically open-ended long text generation poses significant challeng...
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05/18/2023
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings
Prior studies diagnose the anisotropy problem in sentence representation...
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04/06/2023
SegGPT: Segmenting Everything In Context
We present SegGPT, a generalist model for segmenting everything in conte...
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03/30/2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Large-scale text-to-image diffusion models achieve unprecedented success...
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03/27/2023
Meeting Action Item Detection with Regularized Context Modeling
Meetings are increasingly important for collaborations. Action items in ...
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03/24/2023
MUG: A General Meeting Understanding and Generation Benchmark
Listening to long video/audio recordings from video conferencing and onl...
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03/24/2023
Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)
ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) ...
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03/07/2023
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models
Learning on a massive amount of speech corpus leads to the recent succes...
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02/28/2023
Weighted Sampling for Masked Language Modeling
Masked Language Modeling (MLM) is widely used to pretrain language model...
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01/31/2023
Enhancing NOMA Networks via Reconfigurable Multi-Functional Surface
By flexibly manipulating the radio propagation environment, reconfigurab...
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12/16/2022
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation
Multi-modal and multi-hop question answering aims to answer a question b...
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12/05/2022
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
In-context learning, as a new paradigm in NLP, allows the model to rapid...
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11/14/2022
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
We launch EVA, a vision-centric foundation model to explore the limits o...
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09/30/2022
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
The extraction of sequence patterns from a collection of functionally li...
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07/20/2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
Generating sound effects that humans want is an important topic. However...
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07/08/2022
TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot
A service robot serving safely and politely needs to track the surroundi...
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05/29/2022
Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI
This paper investigates the use of the reconfigurable dual-functional su...
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01/04/2022
Supervised Homogeneity Fusion: a Combinatorial Approach
Fusing regression coefficients into homogenous groups can unveil those c...
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10/06/2021
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences
Transformer-based models have achieved great success in various NLP, vis...
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09/06/2021
Parsing Table Structures in the Wild
This paper tackles the problem of table structure parsing (TSP) from ima...
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07/27/2021
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
Detection transformers have recently shown promising object detection re...
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07/20/2021
Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation
Transcripts generated by automatic speech recognition (ASR) systems for ...
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07/07/2021
IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
Existing classification-based face recognition methods have achieved rem...
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06/20/2021
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
A table arranging data in rows and columns is a very effective data stru...
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05/14/2021
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
Named entity recognition (NER) is a well-studied task in natural languag...
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04/25/2021
Reranking Machine Translation Hypotheses with Structured and Web-based Language Models
In this paper, we investigate the use of linguistically motivated and co...
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04/21/2021
Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning
In the traditional cascading architecture for spoken language understand...
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04/21/2021
Discriminative Self-training for Punctuation Prediction
Punctuation prediction for automatic speech recognition (ASR) output tra...
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03/05/2021
Graph-Based Tri-Attention Network for Answer Ranking in CQA
In community-based question answering (CQA) platforms, automatic answer ...
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12/03/2020
What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education
Education has a significant impact on both society and personal life. Wi...
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11/09/2020
Intelligent Reflecting Surface Aided Secure UAV Communications
In this letter, we study the secure communication problem in the unmanne...
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03/07/2020
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
Video action anticipation aims to predict future action categories from ...
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03/03/2020
Sequential Neural Networks for Noetic End-to-End Response Selection
The noetic end-to-end response selection challenge as one track in the 7...
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03/03/2020
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection
With the increased applications of automatic speech recognition (ASR) in...
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03/03/2020
Transfer Learning for Context-Aware Spoken Language Understanding
Spoken language understanding (SLU) is a key component of task-oriented ...
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02/19/2020
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
Session-based target behavior prediction aims to predict the next item t...
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01/21/2020
A Comprehensive Study on Temporal Modeling for Online Action Detection
Online action detection (OAD) is a practical yet challenging task, which...
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11/28/2019
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification
In this work, a discriminatively learned CNN embedding is proposed for r...
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11/28/2019
A Discriminative Learned CNN Embedding For Remote Senseing Image Scene Classification
In this work, a discriminatively learned CNN embedding is proposed for r...
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08/19/2019
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
Neural language representation models such as Bidirectional Encoder Repr...
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06/10/2019
Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision
We propose a learning approach for turn-level spoken language understand...
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05/30/2019
The General Pair-based Weighting Loss for Deep Metric Learning
Deep metric learning aims at learning the distance metric between pair o...
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05/30/2019
Attention: A Big Surprise for Cross-Domain Person Re-Identification
In this paper, we focus on model generalization and adaptation for cross...
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02/28/2019
BERT for Joint Intent Classification and Slot Filling
Intent classification and slot filling are two essential tasks for natur...
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01/09/2019
Sequential Attention-based Network for Noetic End-to-End Response Selection
The noetic end-to-end response selection challenge as one track in Dialo...
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11/29/2018
Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy
Stratifying patients at risk for postoperative complications may facilit...
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10/19/2018