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09/18/2023
Are Soft Prompts Good Zero-shot Learners for Speech Recognition?
Large self-supervised pre-trained speech models require computationally ...
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09/04/2023
Metric Learning for Projections Bias of Generalized Zero-shot Learning
Generalized zero-shot learning models (GZSL) aim to recognize samples fr...
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08/07/2023
Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals
In this paper, we present a general learning framework for controlling a...
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07/01/2023
Joint Downlink-Uplink Beamforming for Wireless Multi-Antenna Federated Learning
We study joint downlink-uplink beamforming design for wireless federated...
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06/26/2023
A Simple and Effective Baseline for Attentional Generative Adversarial Networks
Synthesising a text-to-image model of high-quality images by guiding the...
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06/08/2023
Automatic Image Blending Algorithm Based on SAM and DINO
The field of image blending has gained popularity in recent years for it...
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05/24/2023
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging subtask of multi...
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05/20/2023
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
In this paper, we propose ACA-Net, a lightweight, global context-aware s...
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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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05/02/2023
Contrastive Speech Mixup for Low-resource Keyword Spotting
Most of the existing neural-based models for keyword spotting (KWS) in s...
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04/22/2023
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach
Public opinion is a crucial factor in shaping political decision-making....
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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
deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition
Existing self-supervised pre-trained speech models have offered an effec...
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01/20/2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks
Given the development and abundance of social media, studying the stance...
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09/14/2022
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization
Noise robustness in keyword spotting remains a challenge as many models ...
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08/22/2022
Learning Ball-balancing Robot Through Deep Reinforcement Learning
The ball-balancing robot (ballbot) is a good platform to test the effect...
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08/16/2022
Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning
Terrain-aware locomotion has become an emerging topic in legged robotics...
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08/05/2022
A Holistic Approach to Undesired Content Detection in the Real World
We present a holistic approach to building a robust and useful natural l...
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06/03/2022
Ultra-Low-Complexity Algorithms with Structurally Optimal Multi-Group Multicast Beamforming in Large-Scale Systems
We consider an ultra-low-complexity multi-group multicast beamforming de...
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04/08/2022
Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different Styles
Not until recently, robust bipedal locomotion has been achieved through ...
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03/04/2022
Training language models to follow instructions with human feedback
Making language models bigger does not inherently make them better at fo...
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12/07/2021
Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References
Not until recently, robust robot locomotion has been achieved by deep re...
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11/03/2021
Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training
Aspect-based sentiment analysis aims to identify the sentiment polarity ...
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10/05/2021
TENT: Text Classification Based on ENcoding Tree Learning
Text classification is a primary task in natural language processing (NL...
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09/23/2021
Accessibility-Based Clustering for Efficient Learning of Robot Fall Recovery
For the model-free deep reinforcement learning of quadruped fall recover...
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08/27/2021
A Partition Filter Network for Joint Entity and Relation Extraction
In joint entity and relation extraction, existing work either sequential...
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07/15/2021
Fast First-Order Algorithm for Large-Scale Max-Min Fair Multi-Group Multicast Beamforming
We propose a first-order fast algorithm for the weighted max-min fair (M...
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04/30/2021
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
Radiomics is an active area of research in medical image analysis, the l...
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04/29/2021
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics
Early diagnosis of lung cancer is a key intervention for the treatment o...
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04/12/2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
Robustness and counterfactual bias are usually evaluated on a test datas...
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03/21/2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Various robustness evaluation methodologies from different perspectives ...
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02/22/2021
DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
Reinforcement learning (RL) has demonstrated great success in the past s...
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11/15/2020
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
Gaze is the essential manifestation of human attention. In recent years,...
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10/22/2020
An Efficient Adversarial Attack for Tree Ensembles
We study the problem of efficient adversarial attacks on tree based ense...
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07/16/2020
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
In recognition-based action interaction, robots' responses to human acti...
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07/02/2020
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Despite the notable progress made in action recognition tasks, not much ...
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04/26/2020
KGClean: An Embedding Powered Knowledge Graph Cleaning Framework
The quality assurance of the knowledge graph is a prerequisite for vario...
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03/19/2020
Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection
Unsupervised domain adaptation (UDA) has achieved unprecedented success ...
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12/29/2018
Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels
Existing studies about ambient backscatter communication mostly assume f...
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12/29/2018
Interference-Free Transceiver Design and Signal Detection for Ambient Backscatter Communication Systems over Frequency-Selective Channels
In this letter, we study the ambient backscatter communication systems o...
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04/30/2018
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring
In this paper, a multi-state diagnosis and prognosis (MDP) framework is ...
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04/28/2018
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
Imbalanced data with a skewed class distribution are common in many real...
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09/21/2017
Efficient Column Generation for Cell Detection and Segmentation
We study the problem of instance segmentation in biological images with ...
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09/18/2017
Multi-Person Pose Estimation via Column Generation
We study the problem of multi-person pose estimation in natural images. ...
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07/04/2017
The Candidate Multi-Cut for Cell Segmentation
Two successful approaches for the segmentation of biomedical images are ...
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01/09/2017
On Reject and Refine Options in Multicategory Classification
In many real applications of statistical learning, a decision made from ...
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12/01/2016
Efficient Pose and Cell Segmentation using Column Generation
We study the problems of multi-person pose segmentation in natural image...
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07/19/2016
Multi-category Angle-based Classifier Refit
Classification is an important statistical learning tool. In real applic...
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06/21/2016