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02/15/2023
Embodied Footprints: A Safety-guaranteed Collision Avoidance Model for Numerical Optimization-based Trajectory Planning
Numerical optimization-based methods are among the prevalent trajectory ...
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07/20/2022
Integrating Linguistic Theory and Neural Language Models
Transformer-based language models have recently achieved remarkable resu...
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02/25/2022
On the data requirements of probing
As large and powerful neural language models are developed, researchers ...
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02/24/2022
Neural reality of argument structure constructions
In lexicalist linguistic theories, argument structure is assumed to be p...
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07/13/2021
What do writing features tell us about AI papers?
As the numbers of submissions to conferences grow quickly, the task of a...
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05/16/2021
How is BERT surprised? Layerwise detection of linguistic anomalies
Transformer language models have shown remarkable ability in detecting w...
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04/15/2021
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
Eye movement data during reading is a useful source of information for u...
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09/23/2020
Evolution of Part-of-Speech in Classical Chinese
Classical Chinese is a language notable for its word class flexibility: ...
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09/19/2020
Word class flexibility: A deep contextualized approach
Word class flexibility refers to the phenomenon whereby a single word fo...
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06/04/2020
Towards Understanding Fast Adversarial Training
Current neural-network-based classifiers are susceptible to adversarial ...
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03/06/2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Recent research has proposed the lottery ticket hypothesis, suggesting t...
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01/22/2020
Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments
E-commerce has evolved with the digital technology revolution over the y...
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11/22/2019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Neural networks are known to be vulnerable to carefully crafted adversar...
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11/20/2019
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
We propose a novel graph-driven generative model, that unifies multiple ...
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11/10/2019
Distributed Recursive Filtering for Spatially Interconnected Systems with Randomly Occurred Missing Measurements
This paper proposed a distributed filter for spatially interconnected sy...
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10/20/2019
Representation Learning for Discovering Phonemic Tone Contours
Tone is a prosodic feature used to distinguish words in many languages, ...
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10/11/2019
Trajectory Planning for Autonomous Parking in Complex Environments: A Tunnel-based Optimal Control Approach
This paper proposes a fast and accurate trajectory planning algorithm fo...
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08/27/2019
Real-world Conversational AI for Hotel Bookings
In this paper, we present a real-world conversational AI system to searc...
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05/15/2019
On Norm-Agnostic Robustness of Adversarial Training
Adversarial examples are carefully perturbed in-puts for fooling machine...
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03/03/2019
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
Machine learning has shown promise for automatic detection of Alzheimer'...
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02/17/2019
Real-Time Trajectory Planning for AGV in the Presence of Moving Obstacles: A First-Search-Then-Optimization Approach
This paper focuses on automatic guided vehicle (AGV) trajectory planning...
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01/18/2019
Improving Sequence-to-Sequence Learning via Optimal Transport
Sequence-to-sequence models are commonly trained via maximum likelihood ...
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09/10/2018
Second-Order Adversarial Attack and Certifiable Robustness
We propose a powerful second-order attack method that outperforms existi...
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08/11/2018
Dropout during inference as a model for neurological degeneration in an image captioning network
We replicate a variation of the image captioning architecture by Vinyals...
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05/29/2018
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
There has been recent interest in developing scalable Bayesian sampling ...
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12/25/2017