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09/01/2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
Fine-grained image recognition is a longstanding computer vision challen...
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06/20/2023
Dynamic Perceiver for Efficient Visual Recognition
Early exiting has become a promising approach to improving the inference...
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06/12/2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Long-term time series forecasting plays an important role in various rea...
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05/25/2023
Healing Unsafe Dialogue Responses with Weak Supervision Signals
Recent years have seen increasing concerns about the unsafe response gen...
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05/22/2023
Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision
Most existing task-oriented dialog (TOD) systems track dialog states in ...
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03/09/2023
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations
Previous contrastive learning methods for sentence representations often...
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02/28/2023
Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction
Cellular traffic prediction is an indispensable part for intelligent tel...
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02/27/2023
Multi-Action Dialog Policy Learning from Logged User Feedback
Multi-action dialog policy, which generates multiple atomic dialog actio...
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01/26/2023
Federated Learning over Coupled Graphs
Graphs are widely used to represent the relations among entities. When o...
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10/17/2022
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems
Building user simulators (USs) for reinforcement learning (RL) of task-o...
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10/13/2022
Jointly Reinforced User Simulator and Task-oriented Dialog System with Simplified Generative Architecture
Recently, there has been progress in supervised funetuning pretrained GP...
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09/27/2022
Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset
Recently, there have merged a class of task-oriented dialogue (TOD) data...
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09/13/2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Traditional intent classification models are based on a pre-defined inte...
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08/24/2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
Most existing slot filling models tend to memorize inherent patterns of ...
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07/25/2022
Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models
Developing semi-supervised task-oriented dialog (TOD) systems by leverag...
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07/06/2022
A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems
A challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Syste...
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06/26/2022
Meta Auxiliary Learning for Low-resource Spoken Language Understanding
Spoken language understanding (SLU) treats automatic speech recognition ...
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06/06/2022
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
Despite the success of text-to-text pre-trained models in various natura...
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04/25/2022
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Multi-action dialog policy (MADP), which generates multiple atomic dialo...
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04/19/2022
Network Topology Optimization via Deep Reinforcement Learning
Topology impacts important network performance metrics, including link u...
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04/13/2022
Revisiting Markovian Generative Architectures for Efficient Task-Oriented Dialog Systems
Recently, Transformer based pretrained language models (PLMs), such as G...
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01/30/2022
HGCN: harmonic gated compensation network for speech enhancement
Mask processing in the time-frequency (T-F) domain through the neural ne...
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11/01/2021
Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
Mobile network traffic forecasting is one of the key functions in daily ...
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09/09/2021
Variational Latent-State GPT for Semi-supervised Task-Oriented Dialog Systems
Recently, two approaches, fine-tuning large pre-trained language models ...
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12/15/2020
Learning to Check Contract Inconsistencies
Contract consistency is important in ensuring the legal validity of the ...
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09/17/2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
Structured belief states are crucial for user goal tracking and database...
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11/04/2018
Neural CRF transducers for sequence labeling
Conditional random fields (CRFs) have been shown to be one of the most s...
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11/04/2018
