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08/31/2023
Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection
Stance detection aims to identify the attitude expressed in a document t...
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08/21/2023
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
The conjugate gradient method is a crucial first-order optimization meth...
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06/15/2023
Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding
Dual-task dialog language understanding aims to tackle two correlative d...
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06/07/2023
Co-evolving Graph Reasoning Network for Emotion-Cause Pair Extraction
Emotion-Cause Pair Extraction (ECPE) aims to extract all emotion clauses...
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05/22/2023
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting
Multivariate time-series (MTS) forecasting is a paramount and fundamenta...
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04/28/2023
Earning Extra Performance from Restrictive Feedbacks
Many machine learning applications encounter a situation where model pro...
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04/24/2023
UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation
In the field of Image-to-Image (I2I) translation, ensuring consistency b...
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04/05/2023
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search
Approximate nearest neighbour (ANN) search is an essential component of ...
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04/02/2023
Adversary-Aware Partial label learning with Label distillation
To ensure that the data collected from human subjects is entrusted with ...
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02/28/2023
Policy Dispersion in Non-Markovian Environment
Markov Decision Process (MDP) presents a mathematical framework to formu...
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02/19/2023
Latent Class-Conditional Noise Model
Learning with noisy labels has become imperative in the Big Data era, wh...
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12/13/2022
Coarse-to-Fine Contrastive Learning on Graphs
Inspired by the impressive success of contrastive learning (CL), a varie...
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12/13/2022
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster
Artificial intelligence is to teach machines to take actions like humans...
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10/19/2022
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs
Recent graph-based models for joint multiple intent detection and slot f...
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10/19/2022
Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling
Recent joint multiple intent detection and slot filling models employ la...
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07/29/2022
A Survey of Learning on Small Data
Learning on big data brings success for artificial intelligence (AI), bu...
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06/30/2022
When an Active Learner Meets a Black-box Teacher
Active learning maximizes the hypothesis updates to find those desired u...
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06/30/2022
Data-Efficient Learning via Minimizing Hyperspherical Energy
Deep learning on large-scale data is dominant nowadays. The unprecedente...
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06/08/2022
Latent Boundary-guided Adversarial Training
Deep Neural Networks (DNNs) have recently achieved great success in many...
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05/23/2022
Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruning
Recent years have witnessed the emerging success of leveraging syntax gr...
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04/01/2022
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Cold-start issues have been more and more challenging for providing accu...
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03/08/2022
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition
The task of joint dialog sentiment classification (DSC) and act recognit...
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12/15/2021
Taming Overconfident Prediction on Unlabeled Data from Hindsight
Minimizing prediction uncertainty on unlabeled data is a key factor to a...
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11/26/2021
TRIP: Refining Image-to-Image Translation via Rival Preferences
Relative attribute (RA), referring to the preference over two images on ...
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09/24/2021
Edge but not Least: Cross-View Graph Pooling
Graph neural networks have emerged as a powerful model for graph represe...
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09/02/2021
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting
Multi-variate time series (MTS) data is a ubiquitous class of data abstr...
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08/05/2021
Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network
Aspect-level sentiment classification (ASC) aims to predict the fine-gra...
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07/14/2021
Differential-Critic GAN: Generating What You Want by a Cue of Preferences
This paper proposes Differential-Critic Generative Adversarial Network (...
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07/02/2021
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network
This paper considers predicting future statuses of multiple agents in an...
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06/21/2021
Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims to predict the sentiment exp...
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05/06/2021
Bayesian Active Learning by Disagreements: A Geometric Perspective
We present geometric Bayesian active learning by disagreements (GBALD), ...
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11/23/2020
The Emerging Trends of Multi-Label Learning
Exabytes of data are generated daily by humans, leading to the growing n...
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11/09/2020
A Survey of Label-noise Representation Learning: Past, Present and Future
Classical machine learning implicitly assumes that labels of the trainin...
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11/03/2020
Learning on Attribute-Missing Graphs
Graphs with complete node attributes have been widely explored recently....
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11/02/2020
Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation
Cold-start has being a critical issue in recommender systems with the ex...
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11/02/2020
Deep Pairwise Hashing for Cold-start Recommendation
Recommendation efficiency and data sparsity problems have been regarded ...
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10/05/2020
Graph Cross Networks with Vertex Infomax Pooling
We propose a novel graph cross network (GXN) to achieve comprehensive fe...
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06/26/2020
Intrinsic Reward Driven Imitation Learning via Generative Model
Imitation learning in a high-dimensional environment is challenging. Mos...
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05/24/2020
Multi-view Alignment and Generation in CCA via Consistent Latent Encoding
Multi-view alignment, achieving one-to-one correspondence of multi-view ...
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03/30/2020
Secure Metric Learning via Differential Pairwise Privacy
Distance Metric Learning (DML) has drawn much attention over the last tw...
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02/09/2020
Face Hallucination with Finishing Touches
Obtaining a high-quality frontal face image from a low-resolution (LR) n...
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02/01/2020
Towards Sharper First-Order Adversary with Quantized Gradients
Despite the huge success of Deep Neural Networks (DNNs) in a wide spectr...
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10/09/2019
Stochastic Implicit Natural Gradient for Black-box Optimization
Black-box optimization is primarily important for many compute-intensive...
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07/26/2019
Improving Generalization via Attribute Selection on Out-of-the-box Data
Zero-shot learning (ZSL) aims to recognize unseen objects (test classes)...
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07/23/2019
Node Attribute Generation on Graphs
Graph structured data provide two-fold information: graph structures and...
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07/16/2019
Latent Adversarial Defence with Boundary-guided Generation
Deep Neural Networks (DNNs) have recently achieved great success in many...
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05/29/2019
Fast and Robust Rank Aggregation against Model Misspecification
In rank aggregation, preferences from different users are summarized int...
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05/24/2019
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Generalization is vital important for many deep network models. It becom...
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05/24/2019
Efficient Batch Black-box Optimization with Deterministic Regret Bounds
In this work, we investigate black-box optimization from the perspective...
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05/21/2019