conftrace_

Models

20,488 papers (23 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Generative Models (8,597) Diffusion Models (6,478) Large Language Models (2,815) Variational Inference (2,186) Vision-Language Models (839) Language Models (763) Foundation Models (330) Language Modeling (92) Variational Autoencoders (67) Neural Radiance Fields (46) Sequence-to-Sequence (42) Variational Autoencoder (24)

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Papers (including subtopics)

Encoding Gated Translation Memory into Neural Machine Translation EMNLP 2018 Encoding Individual Acoustic Features Using Dyad-Augmented Deep Variational Representations for Dialog-level Emotion Recognition Interspeech 2018 End-to-End Learning for the Deep Multivariate Probit Model ICML 2018 End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Interspeech 2018 Entropy and mutual information in models of deep neural networks NeurIPS 2018 Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models EMNLP 2018 Evaluating Textual Representations through Image Generation EMNLP 2018 Exemplar-Based Spectral Detail Compensation for Voice Conversion Interspeech 2018 Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NeurIPS 2018 Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization ACL 2018 Eye In-Painting With Exemplar Generative Adversarial Networks CVPR 2018 Face Aging With Identity-Preserved Conditional Generative Adversarial Networks CVPR 2018 FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis CVPR 2018 Facial Expression Recognition by De-Expression Residue Learning CVPR 2018 Faithful Inversion of Generative Models for Effective Amortized Inference NeurIPS 2018 Fast Decoding in Sequence Models Using Discrete Latent Variables ICML 2018 FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification NeurIPS 2018 FearNet: Brain-Inspired Model for Incremental Learning ICLR 2018 Feature Generating Networks for Zero-Shot Learning CVPR 2018 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 Few-shot Generative Modelling with Generative Matching Networks AISTATS 2018 Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics IJCAI 2018 Finding Tiny Faces in the Wild With Generative Adversarial Network CVPR 2018 First Order Generative Adversarial Networks ICML 2018 Fitting New Speakers Based on a Short Untranscribed Sample ICML 2018