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09/18/2023
CB-Whisper: Contextual Biasing Whisper using TTS-based Keyword Spotting
End-to-end automatic speech recognition (ASR) systems often struggle to ...
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09/12/2023
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Recently, multi-modal vision-language foundation models have gained sign...
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09/11/2023
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Personalized text-to-image generation has emerged as a powerful and soug...
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08/26/2023
Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models
To translate well, machine translation (MT) systems and general-purposed...
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08/20/2023
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation
Transformer and its variants are a powerful class of architectures for s...
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08/20/2023
Adversarial Collaborative Filtering for Free
Collaborative Filtering (CF) has been successfully used to help users di...
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08/19/2023
Enhancing SCF with Privacy-Preserving and Splitting-Enabled E-Bills on Blockchain
Electronic Bill (E-Bill) is a rucial negotiable instrument in the form o...
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08/15/2023
LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis
Automated log analysis is crucial in modern software-intensive systems f...
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08/10/2023
Quantum-inspired Hash Function Based on Parity-dependent Quantum Walks with Memory
In this paper, we develop a generic controlled alternate quantum walk mo...
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08/07/2023
AvatarVerse: High-quality Stable 3D Avatar Creation from Text and Pose
Creating expressive, diverse and high-quality 3D avatars from highly cus...
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07/19/2023
LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
Recovering sharp images from dual-pixel (DP) pairs with disparity-depend...
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07/18/2023
Sharpness-Aware Graph Collaborative Filtering
Graph Neural Networks (GNNs) have achieved impressive performance in col...
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06/13/2023
Knowledge-Prompted Estimator: A Novel Approach to Explainable Machine Translation Assessment
Cross-lingual Machine Translation (MT) quality estimation plays a crucia...
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06/02/2023
Text Style Transfer Back-Translation
Back Translation (BT) is widely used in the field of machine translation...
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05/28/2023
Investigating Pre-trained Audio Encoders in the Low-Resource Condition
Pre-trained speech encoders have been central to pushing state-of-the-ar...
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05/27/2023
Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds
Task planning systems have been developed to help robots use human knowl...
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05/11/2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
The ability to automatically detect and track surgical instruments in en...
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05/11/2023
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts
We present a sequence-to-sequence vision-language model whose parameters...
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04/17/2023
Grounding Classical Task Planners via Vision-Language Models
Classical planning systems have shown great advances in utilizing rule-b...
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04/12/2023
Few-shot Class-incremental Learning for Cross-domain Disease Classification
The ability to incrementally learn new classes from limited samples is c...
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04/06/2023
InterFormer: Real-time Interactive Image Segmentation
Interactive image segmentation enables annotators to efficiently perform...
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03/20/2023
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning
Although many recent works have investigated generalizable NeRF-based no...
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03/07/2023
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models
We propose InCA, a lightweight method for transfer learning that cross-a...
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03/02/2023
A Meta-Learning Approach to Predicting Performance and Data Requirements
We propose an approach to estimate the number of samples required for a ...
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01/30/2023
KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation
BERTScore is an effective and robust automatic metric for referencebased...
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12/19/2022
FreeEnricher: Enriching Face Landmarks without Additional Cost
Recent years have witnessed significant growth of face alignment. Though...
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12/12/2022
P-Transformer: Towards Better Document-to-Document Neural Machine Translation
Directly training a document-to-document (Doc2Doc) neural machine transl...
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12/08/2022
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems
There has been an explosion of interest in designing various Knowledge G...
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12/08/2022
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
Generalist models, which are capable of performing diverse multi-modal t...
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12/08/2022
Denoising Self-attentive Sequential Recommendation
Transformer-based sequential recommenders are very powerful for capturin...
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12/02/2022
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
Graph neural networks have achieved significant success in representatio...
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11/22/2022
High-Throughput GPU Implementation of Dilithium Post-Quantum Digital Signature
In this work, we present a well-optimized GPU implementation of Dilithiu...
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10/24/2022
Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing
Pre-trained speech Transformers have facilitated great success across va...
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10/16/2022
RedApt: An Adaptor for wav2vec 2 Encoding Faster and Smaller Speech Translation without Quality Compromise
Pre-trained speech Transformers in speech translation (ST) have facilita...
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10/04/2022
Robot Task Planning and Situation Handling in Open Worlds
Automated task planning algorithms have been developed to help robots co...
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09/13/2022
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers
Annotating bounding boxes for object detection is expensive, time-consum...
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08/25/2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
This paper presents a simple yet effective framework MaskCLIP, which inc...
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08/10/2022
LogStamp: Automatic Online Log Parsing Based on Sequence Labelling
Logs are one of the most critical data for service management. It contai...
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08/04/2022
Prompt Tuning for Generative Multimodal Pretrained Models
Prompt tuning has become a new paradigm for model tuning and it has demo...
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07/22/2022
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
Most existing works on few-shot object detection (FSOD) focus on a setti...
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07/21/2022
Boosting 3D Object Detection via Object-Focused Image Fusion
3D object detection has achieved remarkable progress by taking point clo...
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07/03/2022
M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation
End-to-end speech-to-text translation models are often initialized with ...
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06/28/2022
MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations
Multimodal fine-grained sentiment analysis has recently attracted increa...
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06/04/2022
Instance-wise Prompt Tuning for Pretrained Language Models
Prompt Learning has recently gained great popularity in bridging the gap...
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05/31/2022
K-Detector: Identifying Duplicate Crash Failures in Large-Scale Software Delivery
After a developer submits code, corresponding test cases arise to ensure...
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05/04/2022
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)
Few-shot relation learning refers to infer facts for relations with a li...
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04/28/2022
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints
However, current autoregressive approaches suffer from high latency. In ...
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03/30/2022
Large-Scale Pre-training for Person Re-identification with Noisy Labels
This paper aims to address the problem of pre-training for person re-ide...
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03/30/2022
Omni-DETR: Omni-Supervised Object Detection with Transformers
We consider the problem of omni-supervised object detection, which can u...
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03/01/2022