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09/12/2023
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair
Automatic program repair (APR) is crucial to reduce manual debugging eff...
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06/20/2023
PyRCA: A Library for Metric-based Root Cause Analysis
We introduce PyRCA, an open-source Python machine learning library of Ro...
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06/01/2023
OTW: Optimal Transport Warping for Time Series
Dynamic Time Warping (DTW) has become the pragmatic choice for measuring...
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05/31/2023
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Code intelligence plays a key role in transforming modern software engin...
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05/24/2023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Subject-driven text-to-image generation models create novel renditions o...
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05/13/2023
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Large language models (LLMs) pretrained on vast source code have achieve...
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04/10/2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
Artificial Intelligence for IT operations (AIOps) aims to combine the po...
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12/21/2022
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Large language models (LLMs) have demonstrated excellent zero-shot gener...
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11/30/2022
Learning Label Modular Prompts for Text Classification in the Wild
Machine learning models usually assume i.i.d data during training and te...
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10/17/2022
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Visual question answering (VQA) is a hallmark of vision and language rea...
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09/15/2022
LAVIS: A Library for Language-Vision Intelligence
We introduce LAVIS, an open-source deep learning library for LAnguage-VI...
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09/06/2022
Continual Learning: Fast and Slow
According to the Complementary Learning Systems (CLS) theory <cit.> in n...
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07/29/2022
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval
This paper investigates an open research problem of generating text-imag...
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07/29/2022
3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image
In this paper, we investigate an open research task of generating 3D car...
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07/05/2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
Program synthesis or code generation aims to generate a program that sat...
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06/16/2022
Multimodal Dialogue State Tracking
Designed for tracking user goals in dialogues, a dialogue state tracker ...
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06/07/2022
Masked Unsupervised Self-training for Zero-shot Image Classification
State-of-the-art computer vision models are mostly trained with supervis...
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06/01/2022
OmniXAI: A Library for Explainable AI
We introduce OmniXAI, an open-source Python library of eXplainable AI (X...
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05/31/2022
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation
Counterfactual explanation is an important Explainable AI technique to e...
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05/23/2022
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Prompt Tuning (PT) has been largely successful as a parameter-efficient ...
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04/21/2022
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps
Root Cause Analysis (RCA) of any service-disrupting incident is one of t...
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02/23/2022
Learning Fast and Slow for Online Time Series Forecasting
The fast adaptation capability of deep neural networks in non-stationary...
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12/17/2021
Align and Prompt: Video-and-Language Pre-training with Entity Prompts
Video-and-language pre-training has shown promising improvements on vari...
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10/27/2021
Node-wise Localization of Graph Neural Networks
Graph neural networks (GNNs) emerge as a powerful family of representati...
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10/19/2021
Improving Tail-Class Representation with Centroid Contrastive Learning
In vision domain, large-scale natural datasets typically exhibit long-ta...
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10/15/2021
Cascaded Fast and Slow Models for Efficient Semantic Code Search
The goal of natural language semantic code search is to retrieve a seman...
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10/04/2021
Learning Structural Representations for Recipe Generation and Food Retrieval
Food is significant to human daily life. In this paper, we are intereste...
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09/02/2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Pre-trained models for Natural Languages (NL) like BERT and GPT have bee...
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08/14/2021
Cross-Modal Graph with Meta Concepts for Video Captioning
Video captioning targets interpreting the complex visual contents as tex...
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08/03/2021
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis
This paper investigates an open research task of text-to-image synthesis...
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06/16/2021
C^3: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues
Video-grounded dialogue systems aim to integrate video understanding and...
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05/12/2021
A Large-Scale Benchmark for Food Image Segmentation
Food image segmentation is a critical and indispensible task for develop...
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04/16/2021
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks
Neural module networks (NMN) have achieved success in image-grounded tas...
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03/01/2021
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues
Compared to traditional visual question answering, video-grounded dialog...
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01/28/2021
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning
Neural Module Networks (NMNs) have been quite successful in incorporatin...
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01/06/2021
Weakly-Supervised Multi-Face 3D Reconstruction
3D face reconstruction plays a very important role in many real-world mu...
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10/22/2020
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling
Sequential user behavior modeling plays a crucial role in online user-or...
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10/20/2020
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues
Video-grounded dialogues are very challenging due to (i) the complexity ...
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10/15/2020
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
While participants in a multi-party multi-turn conversation simultaneous...
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10/05/2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
Document interpretation and dialog understanding are the two major chall...
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09/17/2020
MoPro: Webly Supervised Learning with Momentum Prototypes
We propose a webly-supervised representation learning method that does n...
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09/02/2020
Structure-Aware Generation Network for Recipe Generation from Images
Sharing food has become very popular with the development of social medi...
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07/30/2020
Bilevel Continual Learning
Continual learning aims to learn continuously from a stream of tasks and...
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07/30/2020
Photon: A Robust Cross-Domain Text-to-SQL System
Natural language interfaces to databases (NLIDB) democratize end user ac...
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07/27/2020
Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images
Recipe generation from food images and ingredients is a challenging task...
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07/21/2020
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
Automated disease classification of radiology images has been emerging a...
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07/17/2020
Adaptive Task Sampling for Meta-Learning
Meta-learning methods have been extensively studied and applied in compu...
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06/30/2020
Theory-Inspired Path-Regularized Differential Network Architecture Search
Despite its high search efficiency, differential architecture search (DA...
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06/27/2020
Video-Grounded Dialogues with Pretrained Generation Language Models
Pre-trained language models have shown remarkable success in improving v...
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05/26/2020