research
∙
09/18/2023
Facilitating NSFW Text Detection in Open-Domain Dialogue Systems via Knowledge Distillation
NSFW (Not Safe for Work) content, in the context of a dialogue, can have...
share
research
∙
07/31/2023
A Benchmark for Understanding Dialogue Safety in Mental Health Support
Dialogue safety remains a pervasive challenge in open-domain human-machi...
research
∙
07/27/2023
SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Large language models (LLMs) have shown the potential to be integrated i...
research
∙
07/17/2023
Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Researchers have invested considerable effort into ensuring that large l...
research
∙
06/27/2023
Understanding Client Reactions in Online Mental Health Counseling
Communication success relies heavily on reading participants' reactions....
research
∙
05/24/2023
Contrastive Learning of Sentence Embeddings from Scratch
Contrastive learning has been the dominant approach to train state-of-th...
research
∙
05/12/2023
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Contrastive learning-based methods, such as unsup-SimCSE, have achieved ...
research
∙
04/30/2023
SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support
There has been an increasing research interest in developing specialized...
research
∙
03/07/2022
Towards Automated Real-time Evaluation in Text-based Counseling
Automated real-time evaluation of counselor-client interaction is import...
research
∙
11/23/2021
S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding
Contrastive learning has been studied for improving the performance of l...
research
∙
06/05/2021
Dynamic Resolution Network
Deep convolutional neural networks (CNNs) are often of sophisticated des...
research
∙
06/02/2021
Global-Selector: A New Benchmark Dataset and Model Architecture for Multi-turn Response Selection
As an essential component of dialogue systems, multi-turn response selec...
research
∙
02/23/2021
Do Transformer Modifications Transfer Across Implementations and Applications?
The research community has proposed copious modifications to the Transfo...
research
∙
10/14/2020
Memformer: The Memory-Augmented Transformer
Transformer models have obtained remarkable accomplishments in various N...
research
∙
09/29/2020
Attention that does not Explain Away
Models based on the Transformer architecture have achieved better accura...
research
∙
04/13/2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
research
∙
03/05/2020
Talking-Heads Attention
We introduce "talking-heads attention" - a variation on multi-head atten...
research
∙
09/26/2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Increasing model size when pretraining natural language representations ...
research
∙
09/23/2019
Multi-stage Pretraining for Abstractive Summarization
Neural models for abstractive summarization tend to achieve the best per...
research
∙
07/05/2017
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification
We report on CMU Informedia Lab's system used in Google's YouTube 8 Mill...
research
∙
04/02/2017
Hidden Two-Stream Convolutional Networks for Action Recognition
Analyzing videos of human actions involves understanding the temporal re...
research
∙
02/08/2017
Guided Optical Flow Learning
We study the unsupervised learning of CNNs for optical flow estimation u...
research
∙
01/25/2017
Deep Local Video Feature for Action Recognition
We investigate the problem of representing an entire video using CNN fea...
research
∙
06/17/2016
Strategies for Searching Video Content with Text Queries or Video Examples
The large number of user-generated videos uploaded on to the Internet ev...
research
∙
12/11/2015
Improving Human Activity Recognition Through Ranking and Re-ranking
We propose two well-motivated ranking-based methods to enhance the perfo...
research
∙
10/15/2015
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition
We address the problem of generating video features for action recogniti...
research
∙
03/12/2015
Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation
Compared to Multilayer Neural Networks with real weights, Binary Multila...
research
∙
02/13/2015
Long-short Term Motion Feature for Action Classification and Retrieval
We propose a method for representing motion information for video classi...
research
∙
11/24/2014
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition
Most state-of-the-art action feature extractors involve differential ope...
research
∙
08/29/2014
