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06/12/2023
TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models
Prompt learning has been proven to be highly effective in improving pre-...
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04/12/2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
Recent works demonstrate a remarkable ability to customize text-to-image...
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04/06/2023
To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement
Keyword spotting systems continuously process audio streams to detect ke...
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01/30/2023
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
The ability to accurately locate and navigate to a specific object is a ...
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01/13/2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
The recently proposed Vision transformers (ViTs) have shown very impress...
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06/30/2022
Language model compression with weighted low-rank factorization
Factorizing a large matrix into small matrices is a popular strategy for...
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01/25/2022
MGA-VQA: Multi-Granularity Alignment for Visual Question Answering
Learning to answer visual questions is a challenging task since the mult...
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01/05/2022
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
Domain classification is the fundamental task in natural language unders...
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12/30/2021
Automatic Mixed-Precision Quantization Search of BERT
Pre-trained language models such as BERT have shown remarkable effective...
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10/28/2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
Moving beyond testing on in-distribution data works on Out-of-Distributi...
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06/28/2021
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU
Intent classification is a major task in spoken language understanding (...
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10/16/2020
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN
One major task of spoken language understanding (SLU) in modern personal...
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10/04/2020
Generating Dialogue Responses from a Semantic Latent Space
Existing open-domain dialogue generation models are usually trained to m...
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05/04/2020
Reward Constrained Interactive Recommendation with Natural Language Feedback
Text-based interactive recommendation provides richer user feedback and ...
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05/04/2020
Customizable and Rigorous Location Privacy through Policy Graph
Location privacy has been extensively studied in the literature. However...
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02/26/2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Deep neural networks have attained remarkable performance when applied t...
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10/15/2019
Iterative Delexicalization for Improved Spoken Language Understanding
Recurrent neural network (RNN) based joint intent classification and slo...
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02/27/2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
With the rapid development in deep learning, deep neural networks have b...
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02/11/2019
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
Many vision and language models suffer from poor visual grounding - ofte...
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12/26/2018
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
Intent detection and slot filling are two main tasks for building a spok...
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11/18/2018
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection
With the recent surge of interests in deep neural networks, more real-wo...
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09/18/2018
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks
Semantic frame parsing is a crucial component in spoken language underst...
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09/17/2018
Robust Spoken Language Understanding via Paraphrasing
Learning intents and slot labels from user utterances is a fundamental s...
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06/22/2018
