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09/15/2023
Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection
Existing deepfake speech detection systems lack generalizability to unse...
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08/24/2023
Motion-Guided Masking for Spatiotemporal Representation Learning
Several recent works have directly extended the image masked autoencoder...
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08/09/2023
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation
Recently, semantic segmentation models trained with image-level text sup...
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07/28/2023
Multilingual Lexical Simplification via Paraphrase Generation
Lexical simplification (LS) methods based on pretrained language models ...
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07/19/2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Earth system forecasting has traditionally relied on complex physical mo...
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07/06/2023
Temporal Difference Learning for High-Dimensional PIDEs with Jumps
In this paper, we propose a deep learning framework for solving high-dim...
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06/16/2023
Clickbait Detection via Large Language Models
Clickbait, which aims to induce users with some surprising and even thri...
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05/16/2023
Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation
It has been commonly observed that a teacher model with superior perform...
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05/14/2023
ParaLS: Lexical Substitution via Pretrained Paraphraser
Lexical substitution (LS) aims at finding appropriate substitutes for a ...
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04/26/2023
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining
Medical artificial general intelligence (MAGI) enables one foundation mo...
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04/10/2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
This work proposes POMP, a prompt pre-training method for vision-languag...
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04/05/2023
On the Impact of Voice Anonymization on Speech-Based COVID-19 Detection
With advances seen in deep learning, voice-based applications are burgeo...
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02/23/2023
Sentence Simplification via Large Language Models
Sentence Simplification aims to rephrase complex sentences into simpler ...
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02/13/2023
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
Vision-Language Navigation (VLN) is a challenging task which requires an...
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01/21/2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
With the growing model size, deep neural networks (DNN) are increasingly...
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12/21/2022
What Makes for Good Tokenizers in Vision Transformer?
The architecture of transformers, which recently witness booming applica...
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12/21/2022
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning
Pre-trained large language models can efficiently interpolate human-writ...
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12/15/2022
Are Multimodal Models Robust to Image and Text Perturbations?
Multimodal image-text models have shown remarkable performance in the pa...
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12/04/2022
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation
Referring image segmentation aims at localizing all pixels of the visual...
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11/02/2022
P^3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection
Inspired by the success of visual-language methods (VLMs) in zero-shot c...
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10/10/2022
Visual Prompt Tuning for Test-time Domain Adaptation
Models should have the ability to adapt to unseen data during test-time ...
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09/06/2022
Weak Collocation Regression method: fast reveal hidden stochastic dynamics from high-dimensional aggregate data
Revealing hidden dynamics from the stochastic data is a challenging prob...
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07/12/2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Conventionally, Earth system (e.g., weather and climate) forecasting rel...
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07/11/2022
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
In this paper, we show that recent advances in self-supervised feature l...
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07/08/2022
Pixel-level Correspondence for Self-Supervised Learning from Video
While self-supervised learning has enabled effective representation lear...
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07/04/2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Existing out-of-distribution (OOD) detection methods are typically bench...
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06/16/2022
MixGen: A New Multi-Modal Data Augmentation
Data augmentation is a necessity to enhance data efficiency in deep lear...
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05/31/2022
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts
Vision-Language Navigation (VLN) is a challenging task that requires an ...
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04/18/2022
Gated Multimodal Fusion with Contrastive Learning for Turn-taking Prediction in Human-robot Dialogue
Turn-taking, aiming to decide when the next speaker can start talking, i...
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04/12/2022
Harnessing Interpretable Machine Learning for Origami Feature Design and Pattern Selection
Engineering design of origami systems is challenging because comparing d...
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03/31/2022
ImpDet: Exploring Implicit Fields for 3D Object Detection
Conventional 3D object detection approaches concentrate on bounding boxe...
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03/24/2022
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Multiple datasets and open challenges for object detection have been int...
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03/22/2022
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis
Building Spoken Language Understanding (SLU) robust to Automatic Speech ...
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02/23/2022
Prompt-Learning for Short Text Classification
In the short text, the extreme short length, feature sparsity and high a...
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12/08/2021
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
The vision-language navigation (VLN) task requires an agent to reach a t...
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10/28/2021
Blending Anti-Aliasing into Vision Transformer
The transformer architectures, based on self-attention mechanism and con...
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09/30/2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Contrastive learning allows us to flexibly define powerful losses by con...
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09/01/2021
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
The availability of parallel sentence simplification (SS) is scarce for ...
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08/12/2021
Progressive Coordinate Transforms for Monocular 3D Object Detection
Recognizing and localizing objects in the 3D space is a crucial ability ...
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07/29/2021
A Unified Efficient Pyramid Transformer for Semantic Segmentation
Semantic segmentation is a challenging problem due to difficulties in mo...
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07/23/2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
Language instruction plays an essential role in the natural language gro...
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07/19/2021
Optimal Resource Allocation for Serverless Queries
Optimizing resource allocation for analytical workloads is vital for red...
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06/24/2021
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation
Neural network-based semantic segmentation has achieved remarkable resul...
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06/18/2021
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective
The vulnerability of deep neural networks to adversarial examples, which...
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03/31/2021
SOON: Scenario Oriented Object Navigation with Graph-based Exploration
The ability to navigate like a human towards a language-guided target fr...
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03/11/2021
A phase field model for mass transport with semi-permeable interfaces
In this paper, a thermal-dynamical consistent model for mass transfer ac...
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02/19/2021
Rapid Multi-Physics Simulation for Electro-Thermal Origami Robotic Systems
Electro-thermally actuated origami provides a novel method for creating ...
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02/04/2021
SelfNorm and CrossNorm for Out-of-Distribution Robustness
Normalization techniques are crucial in stabilizing and accelerating the...
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01/26/2021
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
Semi-supervised learning through deep generative models and multi-lingua...
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12/31/2020