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06/01/2022
On Layer Normalizations and Residual Connections in Transformers
In the perspective of a layer normalization (LN) position, the architect...
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05/31/2022
Decomposing NeRF for Editing via Feature Field Distillation
Emerging neural radiance fields (NeRF) are a promising scene representat...
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05/24/2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model
Ensembling is a popular method used to improve performance as a last res...
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09/28/2021
Instance-Based Neural Dependency Parsing
Interpretable rationales for model predictions are crucial in practical ...
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09/13/2021
SHAPE: Shifted Absolute Position Embedding for Transformers
Position representation is crucial for building position-aware represent...
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12/08/2020
Efficient Estimation of Influence of a Training Instance
Understanding the influence of a training instance on a neural network m...
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04/29/2020
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
Interpretable rationales for model predictions play a critical role in p...
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04/25/2020
All Word Embeddings from One Embedding
In neural network-based models for natural language processing (NLP), th...
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06/20/2019
Data Interpolating Prediction: Alternative Interpretation of Mixup
Data augmentation by mixing samples, such as Mixup, has widely been used...
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10/28/2018
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback
Exploration has been one of the greatest challenges in reinforcement lea...
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09/04/2018
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
In this paper, we propose a new kernel-based co-occurrence measure that ...
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05/16/2018
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
We propose a novel data augmentation for labeled sentences called contex...
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05/15/2018
Unsupervised Learning of Style-sensitive Word Vectors
This paper presents the first study aimed at capturing stylistic similar...
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10/17/2017
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
Comprehension of spoken natural language is an essential component for r...
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09/06/2017