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05/11/2023
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
General-purpose language models that can solve various language-domain t...
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01/31/2023
LogAI: A Library for Log Analytics and Intelligence
Software and System logs record runtime information about processes exec...
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01/30/2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
The cost of vision-and-language pre-training has become increasingly pro...
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11/29/2022
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems
We introduce BotSIM, a modular, open-source Bot SIMulation environment w...
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11/27/2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
Automated software debugging is a crucial task for improving the product...
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07/13/2022
DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting
Deep learning has been actively applied to time-series forecasting, lead...
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03/30/2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Existing continual learning methods use Batch Normalization (BN) to faci...
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02/03/2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Deep learning has been actively studied for time series forecasting, and...
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02/03/2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Transformers have been actively studied for time-series forecasting in r...
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01/28/2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Vision-Language Pre-training (VLP) has advanced the performance for many...
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10/01/2021
DualNet: Continual Learning, Fast and Slow
According to Complementary Learning Systems (CLS) theory <cit.> in neuro...
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09/20/2021
Merlion: A Machine Learning Library for Time Series
We introduce Merlion, an open-source machine learning library for time s...
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07/16/2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Large-scale vision and language representation learning has shown promis...
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06/28/2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
For an image query, unsupervised contrastive learning labels crops of th...
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03/01/2021
Detection and Rectification of Arbitrary Shaped Scene Texts by using Text Keypoints and Links
Detection and recognition of scene texts of arbitrary shapes remain a gr...
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01/03/2021
RegNet: Self-Regulated Network for Image Classification
The ResNet and its variants have achieved remarkable successes in variou...
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12/03/2020
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition
One crucial challenge of real-world multilingual speech recognition is t...
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11/23/2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Semi-supervised learning has been an effective paradigm for leveraging u...
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10/26/2020
Improving Limited Labeled Dialogue State Tracking with Self-Supervision
Existing dialogue state tracking (DST) models require plenty of labeled ...
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10/12/2020
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
It is not clear yet why ADAM-alike adaptive gradient algorithms suffer f...
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09/22/2020
Partially Observable Online Change Detection via Smooth-Sparse Decomposition
We consider online change detection of high dimensional data streams wit...
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07/23/2020
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation
Most existing object instance detection and segmentation models only wor...
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05/16/2020
Extreme Low-Light Imaging with Multi-granulation Cooperative Networks
Low-light imaging is challenging since images may appear to be dark and ...
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04/15/2020
ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues
The use of pre-trained language models has emerged as a promising direct...
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03/03/2020
Towards Noise-resistant Object Detection with Noisy Annotations
Training deep object detectors requires significant amount of human-anno...
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10/29/2019
Classification Calibration for Long-tail Instance Segmentation
Remarkable progress has been made in object instance detection and segme...
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12/30/2018
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification
The accuracy of deep learning (e.g., convolutional neural networks) for ...
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12/13/2018
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering
Learning effective fusion of multi-modality features is at the heart of ...
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08/08/2018
Question-Guided Hybrid Convolution for Visual Question Answering
In this paper, we propose a novel Question-Guided Hybrid Convolution (QG...
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01/30/2018
An Incremental Path-Following Splitting Method for Linearly Constrained Nonconvex Nonsmooth Programs
The linearly constrained nonconvex nonsmooth program has drawn much atte...
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09/26/2013
