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Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

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Papers (including subtopics)

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model IJCAI 2017
TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets IJCAI 2017
Game Engine Learning from Video IJCAI 2017
Unified Representation and Lifted Sampling for Generative Models of Social Networks IJCAI 2017
Conditional Generative Adversarial Networks for Commonsense Machine Comprehension IJCAI 2017
A Neural Model for Joint Event Detection and Summarization IJCAI 2017
Neuramanteau: A Neural Network Ensemble Model for Lexical Blends IJCNLP 2017
Estimating Reactions and Recommending Products with Generative Models of Reviews IJCNLP 2017
Extraction of Gene-Environment Interaction from the Biomedical Literature IJCNLP 2017
Sequence to Sequence Learning for Event Prediction IJCNLP 2017
Concept Equalization to Guide Correct Training of Neural Machine Translation IJCNLP 2017
Learning to Explain Non-Standard English Words and Phrases IJCNLP 2017
Improving Speaker Verification for Reverberant Conditions with Deep Neural Network Dereverberation Processing INTERSPEECH 2017
An HMM/DNN Comparison for Synchronized Text-to-Speech and Tongue Motion Synthesis INTERSPEECH 2017
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2017
Tied Variational Autoencoder Backends for i-Vector Speaker Recognition INTERSPEECH 2017
Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms INTERSPEECH 2017
Waveform Modeling Using Stacked Dilated Convolutional Neural Networks for Speech Bandwidth Extension INTERSPEECH 2017
A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation INTERSPEECH 2017
Variational Recurrent Neural Networks for Speech Separation INTERSPEECH 2017
Learning Latent Representations for Speech Generation and Transformation INTERSPEECH 2017
Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks INTERSPEECH 2017
Stochastic Recurrent Neural Network for Speech Recognition INTERSPEECH 2017
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis INTERSPEECH 2017
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification INTERSPEECH 2017