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Found 5 papers, 1 papers with code
A Benchmark for Voice-Face Cross-Modal Matching and Retrieval
In this paper, a baseline evaluation framework is proposed for voice-face matching and retrieval tasks.
Voice-Face Cross-modal Matching and Retrieval: A Benchmark
It achieves state-of-the-art performance with various performance metrics on different tasks and with high test confidence on large scale datasets, which can be taken as a baseline for the follow-up research.
LocalGAN: Modeling Local Distributions for Adversarial Response Generation
This paper presents a new methodology for modeling the local semantic distribution of responses to a given query in the human-conversation corpus, and on this basis, explores a specified adversarial learning mechanism for training Neural Response Generation (NRG) models to build conversational agents.
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews
Many document embeddings methods have been proposed to capture semantics, but they still can't outperform bag-of-ngram based methods on this task.
