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05/23/2023
i-Code Studio: A Configurable and Composable Framework for Integrative AI
Artificial General Intelligence (AGI) requires comprehensive understandi...
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05/21/2023
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
The convergence of text, visual, and audio data is a key step towards hu...
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12/19/2022
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
Logical reasoning of text is an important ability that requires understa...
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11/29/2022
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
This paper focuses on analyzing and improving the commonsense ability of...
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11/15/2022
Empowering Language Models with Knowledge Graph Reasoning for Question Answering
Answering open-domain questions requires world knowledge about in-contex...
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09/21/2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Knowledge-intensive tasks, such as open-domain question answering (QA), ...
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06/02/2022
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
This paper revisits visual representation in knowledge-based visual ques...
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05/18/2022
Automatic Rule Induction for Efficient Semi-Supervised Learning
Semi-supervised learning has shown promise in allowing NLP models to gen...
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05/03/2022
i-Code: An Integrative and Composable Multimodal Learning Framework
Human intelligence is multimodal; we integrate visual, linguistic, and a...
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04/05/2022
Integrating Rankings into Quantized Scores in Peer Review
In peer review, reviewers are usually asked to provide scores for the pa...
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12/06/2021
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Most of today's AI systems focus on using self-attention mechanisms and ...
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11/03/2021
An Empirical Study of Training End-to-End Vision-and-Language Transformers
Vision-and-language (VL) pre-training has proven to be highly effective ...
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10/16/2021
Leveraging Knowledge in Multilingual Commonsense Reasoning
Commonsense reasoning (CSR) requires the model to be equipped with gener...
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10/13/2021
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
Pre-trained language models (PLMs) aim to learn universal language repre...
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10/08/2021
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
Current Open-Domain Question Answering (ODQA) model paradigm often conta...
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12/09/2020
Fusing Context Into Knowledge Graph for Commonsense Reasoning
Commonsense reasoning requires a model to make presumptions about world ...
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06/16/2020
Preference-based Reinforcement Learning with Finite-Time Guarantees
Preference-based Reinforcement Learning (PbRL) replaces reward values in...
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11/03/2019
Zeroth Order Non-convex optimization with Dueling-Choice Bandits
We consider a novel setting of zeroth order non-convex optimization, whe...
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10/16/2019
Active Learning for Graph Neural Networks via Node Feature Propagation
Graph Neural Networks (GNNs) for prediction tasks like node classificati...
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10/14/2019
Thresholding Bandit Problem with Both Duels and Pulls
The Thresholding Bandit Problem (TBP) aims to find the set of arms with ...
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06/11/2019
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
This paper describes our competing system to enter the MEDIQA-2019 compe...
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09/18/2018
Multi-Task Learning for Machine Reading Comprehension
We propose a multi-task learning framework to jointly train a Machine Re...
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06/16/2018
On Strategyproof Conference Peer Review
We consider peer review in a conference setting where there is typically...
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06/08/2018
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
In supervised learning, we leverage a labeled dataset to design methods ...
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11/14/2017
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies
This paper presents a new MRC model that is capable of three key compreh...
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04/19/2017
Noise-Tolerant Interactive Learning from Pairwise Comparisons
We study the problem of interactively learning a binary classifier using...
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11/24/2014
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Fine-grained classification is challenging because categories can only b...
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11/24/2014
