research
∙
04/14/2023
DINOv2: Learning Robust Visual Features without Supervision
The recent breakthroughs in natural language processing for model pretra...
share
research
∙
04/06/2023
Diffusion Models as Masked Autoencoders
There has been a longstanding belief that generation can facilitate a tr...
research
∙
01/21/2023
Adapting a Language Model While Preserving its General Knowledge
Domain-adaptive pre-training (or DA-training for short), also known as p...
research
∙
01/05/2023
CiT: Curation in Training for Effective Vision-Language Data
Large vision-language models are generally applicable to many downstream...
research
∙
12/15/2022
MAViL: Masked Audio-Video Learners
We present Masked Audio-Video Learners (MAViL) to train audio-visual rep...
research
∙
10/11/2022
Continual Training of Language Models for Few-Shot Learning
Recent work on applying large language models (LMs) achieves impressive ...
research
∙
07/13/2022
Masked Autoencoders that Listen
This paper studies a simple extension of image-based Masked Autoencoders...
research
∙
02/04/2022
Zero-Shot Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) typically requires in-domain anno...
research
∙
01/19/2022
CM3: A Causal Masked Multimodal Model of the Internet
We introduce CM3, a family of causally masked generative models trained ...
research
∙
12/06/2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
This paper studies continual learning (CL) of a sequence of aspect senti...
research
∙
12/05/2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
This paper studies continual learning (CL) of a sequence of aspect senti...
research
∙
12/05/2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Continual learning (CL) learns a sequence of tasks incrementally with th...
research
∙
09/28/2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
We present VideoCLIP, a contrastive approach to pre-train a unified mode...
research
∙
09/14/2021
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission
This paper describes Netmarble's submission to WMT21 Automatic Post-Edit...
research
∙
07/14/2021
HTLM: Hyper-Text Pre-Training and Prompting of Language Models
We introduce HTLM, a hyper-text language model trained on a large-scale ...
research
∙
05/20/2021
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
We present a simplified, task-agnostic multi-modal pre-training approach...
research
∙
03/27/2021
Co-Imitation Learning without Expert Demonstration
Imitation learning is a primary approach to improve the efficiency of re...
research
∙
10/31/2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
This paper analyzes the pre-trained hidden representations learned from ...
research
∙
10/24/2020
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
Existing conversational systems are mostly agent-centric, which assumes ...
research
∙
09/25/2020
Controllable Text Generation with Focused Variation
This work introduces Focused-Variation Network (FVN), a novel model to c...
research
∙
05/30/2020
User Memory Reasoning for Conversational Recommendation
We study a conversational recommendation model which dynamically manages...
research
∙
04/28/2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
This paper focuses on learning domain-oriented language models driven by...
research
∙
11/04/2019
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution
Aspect-based sentiment classification (ASC) is an important task in fine...
research
∙
08/30/2019
Modeling Multi-Action Policy for Task-Oriented Dialogues
Dialogue management (DM) plays a key role in the quality of the interact...
research
∙
08/06/2019
Flexibly-Structured Model for Task-Oriented Dialogues
This paper proposes a novel end-to-end architecture for task-oriented di...
research
∙
05/15/2019
Controlled CNN-based Sequence Labeling for Aspect Extraction
One key task of fine-grained sentiment analysis on reviews is to extract...
research
∙
04/03/2019
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
Question-answering plays an important role in e-commerce as it allows po...
research
∙
02/03/2019
Review Conversational Reading Comprehension
Seeking information about products and services is an important activity...
research
∙
09/17/2018
Learning to Accept New Classes without Training
Classic supervised learning makes the closed-world assumption, meaning t...
research
∙
05/25/2018
Lifelong Domain Word Embedding via Meta-Learning
Learning high-quality domain word embeddings is important for achieving ...
research
∙
05/11/2018
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
One key task of fine-grained sentiment analysis of product reviews is to...
research
∙
01/17/2018
Unseen Class Discovery in Open-world Classification
This paper concerns open-world classification, where the classifier not ...
research
∙
12/06/2017
Product Function Need Recognition via Semi-supervised Attention Network
Functionality is of utmost importance to customers when they purchase pr...
research
∙
12/06/2017
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis
Product compatibility and their functionality are of utmost importance t...
research
∙
09/25/2017
DOC: Deep Open Classification of Text Documents
Traditional supervised learning makes the closed-world assumption that t...
research
∙
05/29/2017
Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge
Extracting opinion targets is an important task in sentiment analysis on...
research
∙
04/29/2017
Lifelong Learning CRF for Supervised Aspect Extraction
This paper makes a focused contribution to supervised aspect extraction....
research
∙
12/23/2016
Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results
One of the key tasks of sentiment analysis of product reviews is to extr...
research
∙
12/14/2016
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion
Product Community Question Answering (PCQA) provides useful information ...
research
∙
12/04/2016