In this paper, we propose a joint generative and contrastive representat...
Few multi-agent reinforcement learning (MARL) research on Google Researc...
The minimum covariance determinant (MCD) estimator is ubiquitous in
mult...
To facilitate research in the direction of fine-tuning foundation models...
In this paper, we propose an effective sound event detection (SED) metho...
Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample...
To balance the annotation labor and the granularity of supervision,
sing...
Low-rank approximation is a popular strategy to tackle the "big n proble...
Temporal action segmentation in videos has drawn much attention recently...
Medical imaging plays a significant role in clinical practice of medical...
Radiology reports play a critical role in communicating medical findings...
We study the problem of learning to cluster data points using an oracle ...
Knowledge bases are prevalent in various domains and have been widely us...
Since the first coronavirus case was identified in the U.S. on Jan. 21, ...
Existing conversational recommendation (CR) systems usually suffer from
...
In this paper, we propose a weakly supervised multilingual representatio...
Medical imaging is frequently used in clinical practice and trials for
d...
Named entity recognition (NER) is highly sensitive to sentential syntact...
Existing approaches for named entity recognition suffer from data sparsi...
Supertagging is conventionally regarded as an important task for combina...
Aspect term extraction aims to extract aspect terms from review texts as...
Exploration is a key problem in reinforcement learning. Recently bonus-b...
Existing entity alignment methods mainly vary on the choices of encoding...
Conventional word embeddings represent words with fixed vectors, which a...
Model View Definition (MVD) is the standard methodology to define the
ex...
Model View Definition (MVD) is the standard methodology to define the pa...
Grounding a pronoun to a visual object it refers to requires complex
rea...
Resolving pronoun coreference requires knowledge support, especially for...
Word embeddings are traditionally trained on a large corpus in an
unsupe...
Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
Linking pronominal expressions to the correct references requires, in ma...
In this paper, we introduce Iterative Text Summarization (ITS), an
itera...
Conventional topic models are ineffective for topic extraction from micr...
Many classification models work poorly on short texts due to data sparsi...
Polyphonic sound event detection (polyphonic SED) is an interesting but
...
This paper presents a large-scale corpus for non-task-oriented dialogue
...
Hypertext documents, such as web pages and academic papers, are of great...
Recently, Long Short-Term Memory (LSTM) has become a popular choice to m...